wip

lama_cleaner/const.py

@@ -4,16 +4,14 @@ from enum import Enum
 from pydantic import BaseModel
 
 
-MPS_SUPPORT_MODELS = [
+MPS_UNSUPPORT_MODELS = [
-    "instruct_pix2pix",
+    "lama",
-    "sd1.5",
+    "ldm",
-    "anything4",
+    "zits",
-    "realisticVision1.4",
+    "mat",
-    "sd2",
+    "fcf",
-    "paint_by_example",
+    "cv2",
-    "controlnet",
+    "manga",
-    "kandinsky2.2",
-    "sdxl",
 ]
 
 DEFAULT_MODEL = "lama"
@@ -36,18 +34,13 @@ AVAILABLE_MODELS = [
     "sdxl",
 ]
 SD15_MODELS = ["sd1.5", "anything4", "realisticVision1.4"]
-MODELS_SUPPORT_FREEU = SD15_MODELS + ["sd2", "sdxl", "instruct_pix2pix"]
+DIFFUSERS_MODEL_FP16_REVERSION = [
-MODELS_SUPPORT_LCM_LORA = SD15_MODELS + ["sdxl"]
+    "runwayml/stable-diffusion-inpainting",
-
+    "Sanster/anything-4.0-inpainting",
-FREEU_DEFAULT_CONFIGS = {
+    "Sanster/Realistic_Vision_V1.4-inpainting",
-    "sd2": dict(s1=0.9, s2=0.2, b1=1.1, b2=1.2),
+    "stabilityai/stable-diffusion-2-inpainting",
-    "sdxl": dict(s1=0.6, s2=0.4, b1=1.1, b2=1.2),
+    "timbrooks/instruct-pix2pix",
-    "sd1.5": dict(s1=0.9, s2=0.2, b1=1.2, b2=1.4),
+]
-    "anything4": dict(s1=0.9, s2=0.2, b1=1.2, b2=1.4),
-    "realisticVision1.4": dict(s1=0.9, s2=0.2, b1=1.2, b2=1.4),
-    "instruct_pix2pix": dict(s1=0.9, s2=0.2, b1=1.2, b2=1.4),
-}
-
 
 AVAILABLE_DEVICES = ["cuda", "cpu", "mps"]
 DEFAULT_DEVICE = "cuda"
@@ -70,14 +63,29 @@ Run Stable Diffusion text encoder model on CPU to save GPU memory.
 """
 
 SD_CONTROLNET_HELP = """
-Run Stable Diffusion inpainting model with ControlNet. You can switch control method in webui.
+Run Stable Diffusion normal or inpainting model with ControlNet.
 """
-DEFAULT_CONTROLNET_METHOD = "control_v11p_sd15_canny"
+DEFAULT_SD_CONTROLNET_METHOD = "thibaud/controlnet-sd21-openpose-diffusers"
 SD_CONTROLNET_CHOICES = [
-    "control_v11p_sd15_canny",
+    "lllyasviel/control_v11p_sd15_canny",
-    "control_v11p_sd15_openpose",
+    # "lllyasviel/control_v11p_sd15_seg",
-    "control_v11p_sd15_inpaint",
+    "lllyasviel/control_v11p_sd15_openpose",
-    "control_v11f1p_sd15_depth",
+    "lllyasviel/control_v11p_sd15_inpaint",
+    "lllyasviel/control_v11f1p_sd15_depth",
+]
+
+DEFAULT_SD2_CONTROLNET_METHOD = "thibaud/controlnet-sd21-canny-diffusers"
+SD2_CONTROLNET_CHOICES = [
+    "thibaud/controlnet-sd21-canny-diffusers",
+    "thibaud/controlnet-sd21-depth-diffusers",
+    "thibaud/controlnet-sd21-openpose-diffusers",
+]
+
+DEFAULT_SDXL_CONTROLNET_METHOD = "diffusers/controlnet-canny-sdxl-1.0"
+SDXL_CONTROLNET_CHOICES = [
+    "thibaud/controlnet-openpose-sdxl-1.0",
+    "diffusers/controlnet-canny-sdxl-1.0",
+    "diffusers/controlnet-depth-sdxl-1.0",
 ]
 
 SD_LOCAL_MODEL_HELP = """
@@ -152,7 +160,7 @@ class Config(BaseModel):
     model: str = DEFAULT_MODEL
     sd_local_model_path: str = None
     sd_controlnet: bool = False
-    sd_controlnet_method: str = DEFAULT_CONTROLNET_METHOD
+    sd_controlnet_method: str = DEFAULT_SD_CONTROLNET_METHOD
     device: str = DEFAULT_DEVICE
     gui: bool = False
     no_gui_auto_close: bool = False

lama_cleaner/diffusers_utils.py

@@ -1,41 +0,0 @@
-import json
-from pathlib import Path
-from typing import Dict, List
-
-
-def folder_name_to_show_name(name: str) -> str:
-    return name.replace("models--", "").replace("--", "/")
-
-
-def _scan_models(cache_dir, class_name: List[str]) -> List[str]:
-    cache_dir = Path(cache_dir)
-    res = []
-    for it in cache_dir.glob("**/*/model_index.json"):
-        with open(it, "r", encoding="utf-8") as f:
-            data = json.load(f)
-            if data["_class_name"] in class_name:
-                name = folder_name_to_show_name(it.parent.parent.parent.name)
-                if name not in res:
-                    res.append(name)
-    return res
-
-
-def scan_models(cache_dir) -> Dict[str, List[str]]:
-    return {
-        "sd": _scan_models(cache_dir, ["StableDiffusionPipeline"]),
-        "sd_inpaint": _scan_models(
-            cache_dir,
-            [
-                "StableDiffusionInpaintPipeline",
-                "StableDiffusionXLInpaintPipeline",
-                "KandinskyV22InpaintPipeline",
-            ],
-        ),
-        "other": _scan_models(
-            cache_dir,
-            [
-                "StableDiffusionInstructPix2PixPipeline",
-                "PaintByExamplePipeline",
-            ],
-        ),
-    }

lama_cleaner/download.py

@@ -1,8 +1,20 @@
+import json
 import os
+from typing import List
 
 from loguru import logger
 from pathlib import Path
 
+from lama_cleaner.const import DIFFUSERS_MODEL_FP16_REVERSION
+from lama_cleaner.schema import (
+    ModelInfo,
+    ModelType,
+    DIFFUSERS_SD_INPAINT_CLASS_NAME,
+    DIFFUSERS_SDXL_INPAINT_CLASS_NAME,
+    DIFFUSERS_SD_CLASS_NAME,
+    DIFFUSERS_SDXL_CLASS_NAME,
+)
+
 
 def cli_download_model(model: str, model_dir: str):
     if os.path.isfile(model_dir):
@@ -14,7 +26,7 @@ def cli_download_model(model: str, model_dir: str):
 
     os.environ["XDG_CACHE_HOME"] = model_dir
 
-    from lama_cleaner.model_manager import models
+    from lama_cleaner.model import models
 
     if model in models:
         logger.info(f"Downloading {model}...")
@@ -22,3 +34,127 @@ def cli_download_model(model: str, model_dir: str):
         logger.info(f"Done.")
     else:
         logger.info(f"Downloading model from Huggingface: {model}")
+        from diffusers import DiffusionPipeline
+
+        downloaded_path = DiffusionPipeline.download(
+            pretrained_model_name=model,
+            revision="fp16" if model in DIFFUSERS_MODEL_FP16_REVERSION else "main",
+            resume_download=True,
+        )
+        logger.info(f"Done. Downloaded to {downloaded_path}")
+
+
+def folder_name_to_show_name(name: str) -> str:
+    return name.replace("models--", "").replace("--", "/")
+
+
+def scan_diffusers_models(
+    cache_dir, class_name: List[str], model_type: ModelType
+) -> List[ModelInfo]:
+    cache_dir = Path(cache_dir)
+    res = []
+    for it in cache_dir.glob("**/*/model_index.json"):
+        with open(it, "r", encoding="utf-8") as f:
+            data = json.load(f)
+            if data["_class_name"] in class_name:
+                name = folder_name_to_show_name(it.parent.parent.parent.name)
+                if name not in res:
+                    res.append(
+                        ModelInfo(
+                            name=name,
+                            path=name,
+                            model_type=model_type,
+                        )
+                    )
+    return res
+
+
+def scan_single_file_diffusion_models(cache_dir) -> List[ModelInfo]:
+    cache_dir = Path(cache_dir)
+    res = []
+    for it in cache_dir.glob(f"*.*"):
+        if it.suffix not in [".safetensors", ".ckpt"]:
+            continue
+        if "inpaint" in str(it).lower():
+            if "sdxl" in str(it).lower():
+                model_type = ModelType.DIFFUSERS_SDXL_INPAINT
+            else:
+                model_type = ModelType.DIFFUSERS_SD_INPAINT
+        else:
+            if "sdxl" in str(it).lower():
+                model_type = ModelType.DIFFUSERS_SDXL
+            else:
+                model_type = ModelType.DIFFUSERS_SD
+        res.append(
+            ModelInfo(
+                name=it.name,
+                path=str(it.absolute()),
+                model_type=model_type,
+                is_single_file_diffusers=True,
+            )
+        )
+    return res
+
+
+def scan_inpaint_models() -> List[ModelInfo]:
+    res = []
+    from lama_cleaner.model import models
+
+    for name, m in models.items():
+        if m.is_erase_model:
+            res.append(
+                ModelInfo(
+                    name=name,
+                    path=name,
+                    model_type=ModelType.INPAINT,
+                )
+            )
+    return res
+
+
+def scan_models() -> List[ModelInfo]:
+    from diffusers.utils import DIFFUSERS_CACHE
+
+    available_models = []
+    available_models.extend(scan_inpaint_models())
+    available_models.extend(
+        scan_single_file_diffusion_models(os.environ["XDG_CACHE_HOME"])
+    )
+
+    cache_dir = Path(DIFFUSERS_CACHE)
+    diffusers_model_names = []
+    for it in cache_dir.glob("**/*/model_index.json"):
+        with open(it, "r", encoding="utf-8") as f:
+            data = json.load(f)
+            _class_name = data["_class_name"]
+            name = folder_name_to_show_name(it.parent.parent.parent.name)
+            if name in diffusers_model_names:
+                continue
+
+            if _class_name == DIFFUSERS_SD_CLASS_NAME:
+                model_type = ModelType.DIFFUSERS_SD
+            elif _class_name == DIFFUSERS_SD_INPAINT_CLASS_NAME:
+                model_type = ModelType.DIFFUSERS_SD_INPAINT
+            elif _class_name == DIFFUSERS_SDXL_CLASS_NAME:
+                model_type = ModelType.DIFFUSERS_SDXL
+            elif _class_name == DIFFUSERS_SDXL_INPAINT_CLASS_NAME:
+                model_type = ModelType.DIFFUSERS_SDXL_INPAINT
+            elif _class_name in [
+                "StableDiffusionInstructPix2PixPipeline",
+                "PaintByExamplePipeline",
+                "KandinskyV22InpaintPipeline",
+            ]:
+                model_type = ModelType.DIFFUSERS_OTHER
+            else:
+                continue
+
+            diffusers_model_names.append(name)
+            available_models.append(
+                ModelInfo(
+                    name=name,
+                    path=name,
+                    model_type=model_type,
+                )
+            )
+
+    return available_models

lama_cleaner/file_manager/file_manager.py

@@ -7,6 +7,7 @@ import time
 from io import BytesIO
 from pathlib import Path
 import numpy as np
+
 # from watchdog.events import FileSystemEventHandler
 # from watchdog.observers import Observer
 
@@ -149,6 +150,7 @@ class FileManager:
     def get_thumbnail(
         self, directory: Path, original_filename: str, width, height, **options
     ):
+        directory = Path(directory)
         storage = FilesystemStorageBackend(self.app)
         crop = options.get("crop", "fit")
         background = options.get("background")
@@ -167,6 +169,7 @@ class FileManager:
         thumbnail_size = (width, height)
 
         thumbnail_filename = generate_filename(
+            directory,
             original_filename,
             aspect_to_string(thumbnail_size),
             crop,

lama_cleaner/file_manager/utils.py

@@ -1,19 +1,17 @@
 # Copy from: https://github.com/silentsokolov/flask-thumbnails/blob/master/flask_thumbnails/utils.py
-import importlib
+import hashlib
-import os
 from pathlib import Path
 
 from typing import Union
 
 
-def generate_filename(original_filename, *options):
+def generate_filename(directory: Path, original_filename, *options) -> str:
-    name, ext = os.path.splitext(original_filename)
+    text = str(directory.absolute()) + original_filename
     for v in options:
-        if v:
+        text += "%s" % v
-            name += "_%s" % v
+    md5_hash = hashlib.md5()
-    name += ext
+    md5_hash.update(text.encode("utf-8"))
-
+    return md5_hash.hexdigest() + ".jpg"
-    return name
 
 
 def parse_size(size):
@@ -48,7 +46,7 @@ def aspect_to_string(size):
     return "x".join(map(str, size))
 
 
-IMG_SUFFIX = {'.jpg', '.jpeg', '.png', '.JPG', '.JPEG', '.PNG'}
+IMG_SUFFIX = {".jpg", ".jpeg", ".png", ".JPG", ".JPEG", ".PNG"}
 
 
 def glob_img(p: Union[Path, str], recursive: bool = False):

lama_cleaner/helper.py

@@ -8,7 +8,7 @@ import cv2
 from PIL import Image, ImageOps, PngImagePlugin
 import numpy as np
 import torch
-from lama_cleaner.const import MPS_SUPPORT_MODELS
+from lama_cleaner.const import MPS_UNSUPPORT_MODELS
 from loguru import logger
 from torch.hub import download_url_to_file, get_dir
 import hashlib
@@ -23,7 +23,7 @@ def md5sum(filename):
 
 
 def switch_mps_device(model_name, device):
-    if model_name not in MPS_SUPPORT_MODELS and str(device) == "mps":
+    if model_name in MPS_UNSUPPORT_MODELS and str(device) == "mps":
         logger.info(f"{model_name} not support mps, switch to cpu")
         return torch.device("cpu")
     return device

lama_cleaner/model/__init__.py

@@ -0,0 +1,33 @@
+from .controlnet import ControlNet
+from .fcf import FcF
+from .instruct_pix2pix import InstructPix2Pix
+from .kandinsky import Kandinsky22
+from .lama import LaMa
+from .ldm import LDM
+from .manga import Manga
+from .mat import MAT
+from .mi_gan import MIGAN
+from .opencv2 import OpenCV2
+from .paint_by_example import PaintByExample
+from .sd import SD15, SD2, Anything4, RealisticVision14, SD
+from .sdxl import SDXL
+from .zits import ZITS
+
+models = {
+    LaMa.name: LaMa,
+    LDM.name: LDM,
+    ZITS.name: ZITS,
+    MAT.name: MAT,
+    FcF.name: FcF,
+    OpenCV2.name: OpenCV2,
+    Manga.name: Manga,
+    MIGAN.name: MIGAN,
+    SD15.name: SD15,
+    Anything4.name: Anything4,
+    RealisticVision14.name: RealisticVision14,
+    SD2.name: SD2,
+    PaintByExample.name: PaintByExample,
+    InstructPix2Pix.name: InstructPix2Pix,
+    Kandinsky22.name: Kandinsky22,
+    SDXL.name: SDXL,
+}

lama_cleaner/model/base.py

@@ -12,7 +12,7 @@ from lama_cleaner.helper import (
     pad_img_to_modulo,
     switch_mps_device,
 )
-from lama_cleaner.model.g_diffuser_bot import expand_image, np_img_grey_to_rgb
+from lama_cleaner.model.helper.g_diffuser_bot import expand_image
 from lama_cleaner.model.utils import get_scheduler
 from lama_cleaner.schema import Config, HDStrategy, SDSampler
 
@@ -22,6 +22,7 @@ class InpaintModel:
     min_size: Optional[int] = None
     pad_mod = 8
     pad_to_square = False
+    is_erase_model = False
 
     def __init__(self, device, **kwargs):
         """
@@ -264,6 +265,12 @@ class InpaintModel:
 
 
 class DiffusionInpaintModel(InpaintModel):
+    def __init__(self, device, **kwargs):
+        if kwargs.get("model_id_or_path"):
+            # 用于自定义 diffusers 模型
+            self.model_id_or_path = kwargs["model_id_or_path"]
+        super().__init__(device, **kwargs)
+
     @torch.no_grad()
     def __call__(self, image, mask, config: Config):
         """

lama_cleaner/model/controlnet.py

@@ -1,5 +1,3 @@
-import gc
-
 import PIL.Image
 import cv2
 import numpy as np
@@ -7,107 +5,26 @@ import torch
 from diffusers import ControlNetModel
 from loguru import logger
 
+from lama_cleaner.const import DIFFUSERS_MODEL_FP16_REVERSION
 from lama_cleaner.model.base import DiffusionInpaintModel
-from lama_cleaner.model.utils import torch_gc, get_scheduler
+from lama_cleaner.model.helper.controlnet_preprocess import (
-from lama_cleaner.schema import Config
+    make_canny_control_image,
+    make_openpose_control_image,
+    make_depth_control_image,
+    make_inpaint_control_image,
+)
+from lama_cleaner.model.helper.cpu_text_encoder import CPUTextEncoderWrapper
+from lama_cleaner.model.utils import get_scheduler
+from lama_cleaner.schema import Config, ModelInfo, ModelType
 
-
+# 为了兼容性
-class CPUTextEncoderWrapper(torch.nn.Module):
+controlnet_name_map = {
-    def __init__(self, text_encoder, torch_dtype):
+    "control_v11p_sd15_canny": "lllyasviel/control_v11p_sd15_canny",
-        super().__init__()
+    "control_v11p_sd15_openpose": "lllyasviel/control_v11p_sd15_openpose",
-        self.config = text_encoder.config
+    "control_v11p_sd15_inpaint": "lllyasviel/control_v11p_sd15_inpaint",
-        self.text_encoder = text_encoder.to(torch.device("cpu"), non_blocking=True)
+    "control_v11f1p_sd15_depth": "lllyasviel/control_v11f1p_sd15_depth",
-        self.text_encoder = self.text_encoder.to(torch.float32, non_blocking=True)
-        self.torch_dtype = torch_dtype
-        del text_encoder
-        torch_gc()
-
-    def __call__(self, x, **kwargs):
-        input_device = x.device
-        return [
-            self.text_encoder(x.to(self.text_encoder.device), **kwargs)[0]
-            .to(input_device)
-            .to(self.torch_dtype)
-        ]
-
-    @property
-    def dtype(self):
-        return self.torch_dtype
-
-
-NAMES_MAP = {
-    "sd1.5": "runwayml/stable-diffusion-inpainting",
-    "anything4": "Sanster/anything-4.0-inpainting",
-    "realisticVision1.4": "Sanster/Realistic_Vision_V1.4-inpainting",
 }
 
-NATIVE_NAMES_MAP = {
-    "sd1.5": "runwayml/stable-diffusion-v1-5",
-    "anything4": "andite/anything-v4.0",
-    "realisticVision1.4": "SG161222/Realistic_Vision_V1.4",
-}
-
-
-def make_inpaint_condition(image, image_mask):
-    """
-    image: [H, W, C] RGB
-    mask: [H, W, 1] 255 means area to repaint
-    """
-    image = image.astype(np.float32) / 255.0
-    image[image_mask[:, :, -1] > 128] = -1.0  # set as masked pixel
-    image = np.expand_dims(image, 0).transpose(0, 3, 1, 2)
-    image = torch.from_numpy(image)
-    return image
-
-
-def load_from_local_model(
-    local_model_path, torch_dtype, controlnet, pipe_class, is_native_control_inpaint
-):
-    from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
-        download_from_original_stable_diffusion_ckpt,
-    )
-
-    logger.info(f"Converting {local_model_path} to diffusers controlnet pipeline")
-
-    try:
-        pipe = download_from_original_stable_diffusion_ckpt(
-            local_model_path,
-            num_in_channels=4 if is_native_control_inpaint else 9,
-            from_safetensors=local_model_path.endswith("safetensors"),
-            device="cpu",
-            load_safety_checker=False,
-        )
-    except Exception as e:
-        err_msg = str(e)
-        logger.exception(e)
-        if is_native_control_inpaint and "[320, 9, 3, 3]" in err_msg:
-            logger.error(
-                "control_v11p_sd15_inpaint method requires normal SD model, not inpainting SD model"
-            )
-        if not is_native_control_inpaint and "[320, 4, 3, 3]" in err_msg:
-            logger.error(
-                f"{controlnet.config['_name_or_path']} method requires inpainting SD model, "
-                f"you can convert any SD model to inpainting model in AUTO1111: \n"
-                f"https://www.reddit.com/r/StableDiffusion/comments/zyi24j/how_to_turn_any_model_into_an_inpainting_model/"
-            )
-        exit(-1)
-
-    inpaint_pipe = pipe_class(
-        vae=pipe.vae,
-        text_encoder=pipe.text_encoder,
-        tokenizer=pipe.tokenizer,
-        unet=pipe.unet,
-        controlnet=controlnet,
-        scheduler=pipe.scheduler,
-        safety_checker=None,
-        feature_extractor=None,
-        requires_safety_checker=False,
-    )
-
-    del pipe
-    gc.collect()
-    return inpaint_pipe.to(torch_dtype=torch_dtype)
-
 
 class ControlNet(DiffusionInpaintModel):
     name = "controlnet"
@@ -116,10 +33,16 @@ class ControlNet(DiffusionInpaintModel):
 
     def init_model(self, device: torch.device, **kwargs):
         fp16 = not kwargs.get("no_half", False)
+        model_info: ModelInfo = kwargs["model_info"]
+        sd_controlnet_method = kwargs["sd_controlnet_method"]
+        sd_controlnet_method = controlnet_name_map.get(
+            sd_controlnet_method, sd_controlnet_method
+        )
 
-        model_kwargs = {
+        self.model_info = model_info
-            "local_files_only": kwargs.get("local_files_only", kwargs["sd_run_local"])
+        self.sd_controlnet_method = sd_controlnet_method
-        }
+
+        model_kwargs = {}
         if kwargs["disable_nsfw"] or kwargs.get("cpu_offload", False):
             logger.info("Disable Stable Diffusion Model NSFW checker")
             model_kwargs.update(
@@ -133,41 +56,39 @@ class ControlNet(DiffusionInpaintModel):
         use_gpu = device == torch.device("cuda") and torch.cuda.is_available()
         torch_dtype = torch.float16 if use_gpu and fp16 else torch.float32
 
-        sd_controlnet_method = kwargs["sd_controlnet_method"]
+        if model_info.model_type in [
-        self.sd_controlnet_method = sd_controlnet_method
+            ModelType.DIFFUSERS_SD,
-
+            ModelType.DIFFUSERS_SD_INPAINT,
-        if sd_controlnet_method == "control_v11p_sd15_inpaint":
+        ]:
-            from diffusers import StableDiffusionControlNetPipeline as PipeClass
+            from diffusers import (
-
+                StableDiffusionControlNetInpaintPipeline as PipeClass,
-            self.is_native_control_inpaint = True
+            )
-        else:
+        elif model_info.model_type in [
-            from .pipeline import StableDiffusionControlNetInpaintPipeline as PipeClass
+            ModelType.DIFFUSERS_SDXL,
-
+            ModelType.DIFFUSERS_SDXL_INPAINT,
-            self.is_native_control_inpaint = False
+        ]:
-
+            from diffusers import (
-        if self.is_native_control_inpaint:
+                StableDiffusionXLControlNetInpaintPipeline as PipeClass,
-            model_id = NATIVE_NAMES_MAP[kwargs["name"]]
+            )
-        else:
-            model_id = NAMES_MAP[kwargs["name"]]
 
         controlnet = ControlNetModel.from_pretrained(
-            f"lllyasviel/{sd_controlnet_method}", torch_dtype=torch_dtype
+            sd_controlnet_method, torch_dtype=torch_dtype
-        )
-        self.is_local_sd_model = False
-        if kwargs.get("sd_local_model_path", None):
-            self.is_local_sd_model = True
-            self.model = load_from_local_model(
-                kwargs["sd_local_model_path"],
-                torch_dtype=torch_dtype,
-                controlnet=controlnet,
-                pipe_class=PipeClass,
-                is_native_control_inpaint=self.is_native_control_inpaint,
         )
+        if model_info.is_single_file_diffusers:
+            self.model = PipeClass.from_single_file(
+                model_info.path, controlnet=controlnet
+            ).to(torch_dtype)
         else:
             self.model = PipeClass.from_pretrained(
-                model_id,
+                model_info.path,
                 controlnet=controlnet,
-                revision="fp16" if use_gpu and fp16 else "main",
+                revision="fp16"
+                if (
+                    model_info.path in DIFFUSERS_MODEL_FP16_REVERSION
+                    and use_gpu
+                    and fp16
+                )
+                else "main",
                 torch_dtype=torch_dtype,
                 **model_kwargs,
             )
@@ -191,6 +112,19 @@ class ControlNet(DiffusionInpaintModel):
 
         self.callback = kwargs.pop("callback", None)
 
+    def _get_control_image(self, image, mask):
+        if "canny" in self.sd_controlnet_method:
+            control_image = make_canny_control_image(image)
+        elif "openpose" in self.sd_controlnet_method:
+            control_image = make_openpose_control_image(image)
+        elif "depth" in self.sd_controlnet_method:
+            control_image = make_depth_control_image(image)
+        elif "inpaint" in self.sd_controlnet_method:
+            control_image = make_inpaint_control_image(image, mask)
+        else:
+            raise NotImplementedError(f"{self.sd_controlnet_method} not implemented")
+        return control_image
+
     def forward(self, image, mask, config: Config):
         """Input image and output image have same size
         image: [H, W, C] RGB
@@ -206,61 +140,16 @@ class ControlNet(DiffusionInpaintModel):
             mask = cv2.GaussianBlur(mask, (k, k), 0)[:, :, np.newaxis]
 
         img_h, img_w = image.shape[:2]
-
+        control_image = self._get_control_image(image, mask)
-        if self.is_native_control_inpaint:
-            control_image = make_inpaint_condition(image, mask)
-            output = self.model(
-                prompt=config.prompt,
-                image=control_image,
-                height=img_h,
-                width=img_w,
-                num_inference_steps=config.sd_steps,
-                guidance_scale=config.sd_guidance_scale,
-                controlnet_conditioning_scale=config.controlnet_conditioning_scale,
-                negative_prompt=config.negative_prompt,
-                generator=torch.manual_seed(config.sd_seed),
-                output_type="np",
-                callback=self.callback,
-            ).images[0]
-        else:
-            if "canny" in self.sd_controlnet_method:
-                canny_image = cv2.Canny(image, 100, 200)
-                canny_image = canny_image[:, :, None]
-                canny_image = np.concatenate(
-                    [canny_image, canny_image, canny_image], axis=2
-                )
-                canny_image = PIL.Image.fromarray(canny_image)
-                control_image = canny_image
-            elif "openpose" in self.sd_controlnet_method:
-                from controlnet_aux import OpenposeDetector
-
-                processor = OpenposeDetector.from_pretrained("lllyasviel/ControlNet")
-                control_image = processor(image, hand_and_face=True)
-            elif "depth" in self.sd_controlnet_method:
-                from transformers import pipeline
-
-                depth_estimator = pipeline("depth-estimation")
-                depth_image = depth_estimator(PIL.Image.fromarray(image))["depth"]
-                depth_image = np.array(depth_image)
-                depth_image = depth_image[:, :, None]
-                depth_image = np.concatenate(
-                    [depth_image, depth_image, depth_image], axis=2
-                )
-                control_image = PIL.Image.fromarray(depth_image)
-            else:
-                raise NotImplementedError(
-                    f"{self.sd_controlnet_method} not implemented"
-                )
-
         mask_image = PIL.Image.fromarray(mask[:, :, -1], mode="L")
         image = PIL.Image.fromarray(image)
 
         output = self.model(
             image=image,
+            mask_image=mask_image,
             control_image=control_image,
             prompt=config.prompt,
             negative_prompt=config.negative_prompt,
-                mask_image=mask_image,
             num_inference_steps=config.sd_steps,
             guidance_scale=config.sd_guidance_scale,
             output_type="np",
@@ -275,15 +164,6 @@ class ControlNet(DiffusionInpaintModel):
         output = cv2.cvtColor(output, cv2.COLOR_RGB2BGR)
         return output
 
-    def forward_post_process(self, result, image, mask, config):
-        if config.sd_match_histograms:
-            result = self._match_histograms(result, image[:, :, ::-1], mask)
-
-        if config.sd_mask_blur != 0:
-            k = 2 * config.sd_mask_blur + 1
-            mask = cv2.GaussianBlur(mask, (k, k), 0)
-        return result, image, mask
-
     @staticmethod
     def is_downloaded() -> bool:
         # model will be downloaded when app start, and can't switch in frontend settings

lama_cleaner/model/fcf.py

@@ -1626,6 +1626,7 @@ class FcF(InpaintModel):
     min_size = 512
     pad_mod = 512
     pad_to_square = True
+    is_erase_model = True
 
     def init_model(self, device, **kwargs):
         seed = 0

lama_cleaner/model/helper/controlnet_preprocess.py

@@ -0,0 +1,46 @@
+import torch
+import PIL
+import cv2
+from PIL import Image
+import numpy as np
+
+
+def make_canny_control_image(image: np.ndarray) -> Image:
+    canny_image = cv2.Canny(image, 100, 200)
+    canny_image = canny_image[:, :, None]
+    canny_image = np.concatenate([canny_image, canny_image, canny_image], axis=2)
+    canny_image = PIL.Image.fromarray(canny_image)
+    control_image = canny_image
+    return control_image
+
+
+def make_openpose_control_image(image: np.ndarray) -> Image:
+    from controlnet_aux import OpenposeDetector
+
+    processor = OpenposeDetector.from_pretrained("lllyasviel/ControlNet")
+    control_image = processor(image, hand_and_face=True)
+    return control_image
+
+
+def make_depth_control_image(image: np.ndarray) -> Image:
+    from transformers import pipeline
+
+    depth_estimator = pipeline("depth-estimation")
+    depth_image = depth_estimator(PIL.Image.fromarray(image))["depth"]
+    depth_image = np.array(depth_image)
+    depth_image = depth_image[:, :, None]
+    depth_image = np.concatenate([depth_image, depth_image, depth_image], axis=2)
+    control_image = PIL.Image.fromarray(depth_image)
+    return control_image
+
+
+def make_inpaint_control_image(image: np.ndarray, mask: np.ndarray) -> torch.Tensor:
+    """
+    image: [H, W, C] RGB
+    mask: [H, W, 1] 255 means area to repaint
+    """
+    image = image.astype(np.float32) / 255.0
+    image[mask[:, :, -1] > 128] = -1.0  # set as masked pixel
+    image = np.expand_dims(image, 0).transpose(0, 3, 1, 2)
+    image = torch.from_numpy(image)
+    return image

lama_cleaner/model/helper/cpu_text_encoder.py

@@ -0,0 +1,25 @@
+import torch
+from lama_cleaner.model.utils import torch_gc
+
+
+class CPUTextEncoderWrapper(torch.nn.Module):
+    def __init__(self, text_encoder, torch_dtype):
+        super().__init__()
+        self.config = text_encoder.config
+        self.text_encoder = text_encoder.to(torch.device("cpu"), non_blocking=True)
+        self.text_encoder = self.text_encoder.to(torch.float32, non_blocking=True)
+        self.torch_dtype = torch_dtype
+        del text_encoder
+        torch_gc()
+
+    def __call__(self, x, **kwargs):
+        input_device = x.device
+        return [
+            self.text_encoder(x.to(self.text_encoder.device), **kwargs)[0]
+            .to(input_device)
+            .to(self.torch_dtype)
+        ]
+
+    @property
+    def dtype(self):
+        return self.torch_dtype

lama_cleaner/model/instruct_pix2pix.py

@@ -17,7 +17,7 @@ class InstructPix2Pix(DiffusionInpaintModel):
 
         fp16 = not kwargs.get("no_half", False)
 
-        model_kwargs = {"local_files_only": kwargs.get("local_files_only", False)}
+        model_kwargs = {}
         if kwargs["disable_nsfw"] or kwargs.get("cpu_offload", False):
             logger.info("Disable Stable Diffusion Model NSFW checker")
             model_kwargs.update(
@@ -77,16 +77,6 @@ class InstructPix2Pix(DiffusionInpaintModel):
         output = cv2.cvtColor(output, cv2.COLOR_RGB2BGR)
         return output
 
-    #
-    # def forward_post_process(self, result, image, mask, config):
-    #     if config.sd_match_histograms:
-    #         result = self._match_histograms(result, image[:, :, ::-1], mask)
-    #
-    #     if config.sd_mask_blur != 0:
-    #         k = 2 * config.sd_mask_blur + 1
-    #         mask = cv2.GaussianBlur(mask, (k, k), 0)
-    #     return result, image, mask
-
     @staticmethod
     def is_downloaded() -> bool:
         # model will be downloaded when app start, and can't switch in frontend settings

lama_cleaner/model/kandinsky.py

@@ -20,7 +20,6 @@ class Kandinsky(DiffusionInpaintModel):
         torch_dtype = torch.float16 if use_gpu and fp16 else torch.float32
 
         model_kwargs = {
-            "local_files_only": kwargs.get("local_files_only", kwargs["sd_run_local"]),
             "torch_dtype": torch_dtype,
         }
 

lama_cleaner/model/lama.py

@@ -23,6 +23,7 @@ LAMA_MODEL_MD5 = os.environ.get("LAMA_MODEL_MD5", "e3aa4aaa15225a33ec84f9f4bc47e
 class LaMa(InpaintModel):
     name = "lama"
     pad_mod = 8
+    is_erase_model = True
 
     @staticmethod
     def download():

lama_cleaner/model/ldm.py

@@ -237,6 +237,7 @@ class LatentDiffusion(DDPM):
 class LDM(InpaintModel):
     name = "ldm"
     pad_mod = 32
+    is_erase_model = True
 
     def __init__(self, device, fp16: bool = True, **kwargs):
         self.fp16 = fp16

lama_cleaner/model/manga.py

@@ -32,6 +32,7 @@ MANGA_LINE_MODEL_MD5 = os.environ.get(
 class Manga(InpaintModel):
     name = "manga"
     pad_mod = 16
+    is_erase_model = True
 
     def init_model(self, device, **kwargs):
         self.inpaintor_model = load_jit_model(

lama_cleaner/model/mat.py

@@ -1880,6 +1880,7 @@ class MAT(InpaintModel):
     min_size = 512
     pad_mod = 512
     pad_to_square = True
+    is_erase_model = True
 
     def init_model(self, device, **kwargs):
         seed = 240  # pick up a random number

lama_cleaner/model/mi_gan.py

@@ -26,6 +26,7 @@ class MIGAN(InpaintModel):
     min_size = 512
     pad_mod = 512
     pad_to_square = True
+    is_erase_model = True
 
     def init_model(self, device, **kwargs):
         self.model = load_jit_model(MIGAN_MODEL_URL, device, MIGAN_MODEL_MD5).eval()

lama_cleaner/model/opencv2.py

@@ -8,6 +8,7 @@ flag_map = {"INPAINT_NS": cv2.INPAINT_NS, "INPAINT_TELEA": cv2.INPAINT_TELEA}
 class OpenCV2(InpaintModel):
     name = "cv2"
     pad_mod = 1
+    is_erase_model = True
 
     @staticmethod
     def is_downloaded() -> bool:

lama_cleaner/model/pipeline/pipeline_stable_diffusion_controlnet_inpaint.py

@@ -11,6 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import gc
 from typing import Union, List, Optional, Callable, Dict, Any
 
 # Copy from https://github.com/mikonvergence/ControlNetInpaint/blob/main/src/pipeline_stable_diffusion_controlnet_inpaint.py
@@ -217,6 +218,38 @@ class StableDiffusionControlNetInpaintPipeline(StableDiffusionControlNetPipeline
             Model that extracts features from generated images to be used as inputs for the `safety_checker`.
     """
 
+    @classmethod
+    def from_single_file(cls, pretrained_model_link_or_path, **kwargs):
+        from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
+            download_from_original_stable_diffusion_ckpt,
+        )
+
+        controlnet = kwargs.pop("controlnet", None)
+
+        pipe = download_from_original_stable_diffusion_ckpt(
+            pretrained_model_link_or_path,
+            num_in_channels=9,
+            from_safetensors=pretrained_model_link_or_path.endswith("safetensors"),
+            device="cpu",
+            load_safety_checker=False,
+        )
+
+        inpaint_pipe = cls(
+            vae=pipe.vae,
+            text_encoder=pipe.text_encoder,
+            tokenizer=pipe.tokenizer,
+            unet=pipe.unet,
+            controlnet=controlnet,
+            scheduler=pipe.scheduler,
+            safety_checker=None,
+            feature_extractor=None,
+            requires_safety_checker=False,
+        )
+
+        del pipe
+        gc.collect()
+        return inpaint_pipe
+
     def prepare_mask_latents(
         self,
         mask,

lama_cleaner/model/sd.py

@@ -1,4 +1,4 @@
-import gc
+import os
 
 import PIL.Image
 import cv2
@@ -6,34 +6,12 @@ import numpy as np
 import torch
 from loguru import logger
 
+from lama_cleaner.const import DIFFUSERS_MODEL_FP16_REVERSION
 from lama_cleaner.model.base import DiffusionInpaintModel
-from lama_cleaner.model.utils import torch_gc
+from lama_cleaner.model.helper.cpu_text_encoder import CPUTextEncoderWrapper
 from lama_cleaner.schema import Config
 
 
-class CPUTextEncoderWrapper(torch.nn.Module):
-    def __init__(self, text_encoder, torch_dtype):
-        super().__init__()
-        self.config = text_encoder.config
-        self.text_encoder = text_encoder.to(torch.device("cpu"), non_blocking=True)
-        self.text_encoder = self.text_encoder.to(torch.float32, non_blocking=True)
-        self.torch_dtype = torch_dtype
-        del text_encoder
-        torch_gc()
-
-    def __call__(self, x, **kwargs):
-        input_device = x.device
-        return [
-            self.text_encoder(x.to(self.text_encoder.device), **kwargs)[0]
-            .to(input_device)
-            .to(self.torch_dtype)
-        ]
-
-    @property
-    def dtype(self):
-        return self.torch_dtype
-
-
 class SD(DiffusionInpaintModel):
     pad_mod = 8
     min_size = 512
@@ -44,9 +22,7 @@ class SD(DiffusionInpaintModel):
 
         fp16 = not kwargs.get("no_half", False)
 
-        model_kwargs = {
+        model_kwargs = {}
-            "local_files_only": kwargs.get("local_files_only", kwargs["sd_run_local"])
-        }
         if kwargs["disable_nsfw"] or kwargs.get("cpu_offload", False):
             logger.info("Disable Stable Diffusion Model NSFW checker")
             model_kwargs.update(
@@ -60,14 +36,20 @@ class SD(DiffusionInpaintModel):
         use_gpu = device == torch.device("cuda") and torch.cuda.is_available()
         torch_dtype = torch.float16 if use_gpu and fp16 else torch.float32
 
-        if kwargs.get("sd_local_model_path", None):
+        if os.path.isfile(self.model_id_or_path):
             self.model = StableDiffusionInpaintPipeline.from_single_file(
-                kwargs["sd_local_model_path"], torch_dtype=torch_dtype, **model_kwargs
+                self.model_id_or_path, torch_dtype=torch_dtype, **model_kwargs
             )
         else:
             self.model = StableDiffusionInpaintPipeline.from_pretrained(
                 self.model_id_or_path,
-                revision="fp16" if use_gpu and fp16 else "main",
+                revision="fp16"
+                if (
+                    self.model_id_or_path in DIFFUSERS_MODEL_FP16_REVERSION
+                    and use_gpu
+                    and fp16
+                )
+                else "main",
                 torch_dtype=torch_dtype,
                 use_auth_token=kwargs["hf_access_token"],
                 **model_kwargs,

lama_cleaner/model/sdxl.py

@@ -1,7 +1,10 @@
+import os
+
 import PIL.Image
 import cv2
 import numpy as np
 import torch
+from diffusers import AutoencoderKL
 from loguru import logger
 
 from lama_cleaner.model.base import DiffusionInpaintModel
@@ -13,25 +16,30 @@ class SDXL(DiffusionInpaintModel):
     pad_mod = 8
     min_size = 512
     lcm_lora_id = "latent-consistency/lcm-lora-sdxl"
+    model_id_or_path = "diffusers/stable-diffusion-xl-1.0-inpainting-0.1"
 
     def init_model(self, device: torch.device, **kwargs):
-        from diffusers.pipelines import AutoPipelineForInpainting
+        from diffusers.pipelines import StableDiffusionXLInpaintPipeline
 
         fp16 = not kwargs.get("no_half", False)
 
-        model_kwargs = {
-            "local_files_only": kwargs.get("local_files_only", kwargs["sd_run_local"])
-        }
-
         use_gpu = device == torch.device("cuda") and torch.cuda.is_available()
         torch_dtype = torch.float16 if use_gpu and fp16 else torch.float32
 
-        self.model = AutoPipelineForInpainting.from_pretrained(
+        if os.path.isfile(self.model_id_or_path):
-            "diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
+            self.model = StableDiffusionXLInpaintPipeline.from_single_file(
+                self.model_id_or_path, torch_dtype=torch_dtype
+            )
+        else:
+            vae = AutoencoderKL.from_pretrained(
+                "madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16
+            )
+            self.model = StableDiffusionXLInpaintPipeline.from_pretrained(
+                self.model_id_or_path,
                 revision="main",
                 torch_dtype=torch_dtype,
                 use_auth_token=kwargs["hf_access_token"],
-            **model_kwargs,
+                vae=vae,
             )
 
         # https://huggingface.co/docs/diffusers/v0.7.0/en/api/pipelines/stable_diffusion#diffusers.StableDiffusionInpaintPipeline.enable_attention_slicing

lama_cleaner/model/zits.py

@@ -226,6 +226,7 @@ class ZITS(InpaintModel):
     min_size = 256
     pad_mod = 32
     pad_to_square = True
+    is_erase_model = True
 
     def __init__(self, device, **kwargs):
         """

lama_cleaner/model_manager.py

@@ -1,49 +1,14 @@
-import torch
 import gc
+from typing import List, Dict
 
+import torch
 from loguru import logger
 
-from lama_cleaner.const import (
+from lama_cleaner.download import scan_models
-    SD15_MODELS,
-    MODELS_SUPPORT_FREEU,
-    MODELS_SUPPORT_LCM_LORA,
-)
 from lama_cleaner.helper import switch_mps_device
-from lama_cleaner.model.controlnet import ControlNet
+from lama_cleaner.model import models, ControlNet, SD, SDXL
-from lama_cleaner.model.fcf import FcF
-from lama_cleaner.model.kandinsky import Kandinsky22
-from lama_cleaner.model.lama import LaMa
-from lama_cleaner.model.ldm import LDM
-from lama_cleaner.model.manga import Manga
-from lama_cleaner.model.mat import MAT
-from lama_cleaner.model.mi_gan import MIGAN
-from lama_cleaner.model.paint_by_example import PaintByExample
-from lama_cleaner.model.instruct_pix2pix import InstructPix2Pix
-from lama_cleaner.model.sd import SD15, SD2, Anything4, RealisticVision14
-from lama_cleaner.model.sdxl import SDXL
 from lama_cleaner.model.utils import torch_gc
-from lama_cleaner.model.zits import ZITS
+from lama_cleaner.schema import Config, ModelInfo, ModelType
-from lama_cleaner.model.opencv2 import OpenCV2
-from lama_cleaner.schema import Config
-
-models = {
-    "lama": LaMa,
-    "ldm": LDM,
-    "zits": ZITS,
-    "mat": MAT,
-    "fcf": FcF,
-    SD15.name: SD15,
-    Anything4.name: Anything4,
-    RealisticVision14.name: RealisticVision14,
-    "cv2": OpenCV2,
-    "manga": Manga,
-    "sd2": SD2,
-    "paint_by_example": PaintByExample,
-    "instruct_pix2pix": InstructPix2Pix,
-    Kandinsky22.name: Kandinsky22,
-    SDXL.name: SDXL,
-    MIGAN.name: MIGAN,
-}
 
 
 class ModelManager:
@@ -51,23 +16,39 @@ class ModelManager:
         self.name = name
         self.device = device
         self.kwargs = kwargs
+        self.available_models: Dict[str, ModelInfo] = {}
+        self.scan_models()
         self.model = self.init_model(name, device, **kwargs)
 
     def init_model(self, name: str, device, **kwargs):
-        if name in SD15_MODELS and kwargs.get("sd_controlnet", False):
+        for old_name, model_cls in models.items():
-            return ControlNet(device, **{**kwargs, "name": name})
+            if name == old_name and hasattr(model_cls, "model_id_or_path"):
+                name = model_cls.model_id_or_path
+        if name not in self.available_models:
+            raise NotImplementedError(f"Unsupported model: {name}")
 
-        if name in models:
+        sd_controlnet_enabled = kwargs.get("sd_controlnet", False)
-            model = models[name](device, **kwargs)
+        model_info = self.available_models[name]
-        else:
+        if model_info.model_type in [ModelType.INPAINT, ModelType.DIFFUSERS_OTHER]:
-            raise NotImplementedError(f"Not supported model: {name}")
+            return models[name](device, **kwargs)
-        return model
 
-    def is_downloaded(self, name: str) -> bool:
+        if sd_controlnet_enabled:
-        if name in models:
+            return ControlNet(device, **{**kwargs, "model_info": model_info})
-            return models[name].is_downloaded()
         else:
-            raise NotImplementedError(f"Not supported model: {name}")
+            if model_info.model_type in [
+                ModelType.DIFFUSERS_SD,
+                ModelType.DIFFUSERS_SDXL,
+            ]:
+                raise NotImplementedError(
+                    f"When using non inpaint Stable Diffusion model, you must enable controlnet"
+                )
+            if model_info.model_type == ModelType.DIFFUSERS_SD_INPAINT:
+                return SD(device, model_id_or_path=model_info.path, **kwargs)
+
+            if model_info.model_type == ModelType.DIFFUSERS_SDXL_INPAINT:
+                return SDXL(device, model_id_or_path=model_info.path, **kwargs)
+
+        raise NotImplementedError(f"Unsupported model: {name}")
 
     def __call__(self, image, mask, config: Config):
         self.switch_controlnet_method(control_method=config.controlnet_method)
@@ -75,9 +56,18 @@ class ModelManager:
         self.enable_disable_lcm_lora(config)
         return self.model(image, mask, config)
 
-    def switch(self, new_name: str, **kwargs):
+    def scan_models(self) -> List[ModelInfo]:
+        available_models = scan_models()
+        self.available_models = {it.name: it for it in available_models}
+        return available_models
+
+    def switch(self, new_name: str):
         if new_name == self.name:
             return
+
+        old_name = self.name
+        self.name = new_name
+
         try:
             if torch.cuda.memory_allocated() > 0:
                 # Clear current loaded model from memory
@@ -88,8 +78,8 @@ class ModelManager:
             self.model = self.init_model(
                 new_name, switch_mps_device(new_name, self.device), **self.kwargs
             )
-            self.name = new_name
+        except Exception as e:
-        except NotImplementedError as e:
+            self.name = old_name
             raise e
 
     def switch_controlnet_method(self, control_method: str):
@@ -97,27 +87,9 @@ class ModelManager:
             return
         if self.kwargs["sd_controlnet_method"] == control_method:
             return
-        if not hasattr(self.model, "is_local_sd_model"):
-            return
 
-        if self.model.is_local_sd_model:
+        if not self.available_models[self.name].support_controlnet():
-            # is_native_control_inpaint 表示加载了普通 SD 模型
+            return
-            if (
-                self.model.is_native_control_inpaint
-                and control_method != "control_v11p_sd15_inpaint"
-            ):
-                raise RuntimeError(
-                    f"--sd-local-model-path load a normal SD model, "
-                    f"to use {control_method} you should load an inpainting SD model"
-                )
-            elif (
-                not self.model.is_native_control_inpaint
-                and control_method == "control_v11p_sd15_inpaint"
-            ):
-                raise RuntimeError(
-                    f"--sd-local-model-path load an inpainting SD model, "
-                    f"to use {control_method} you should load a norml SD model"
-                )
 
         del self.model
         torch_gc()
@@ -133,7 +105,7 @@ class ModelManager:
         if str(self.model.device) == "mps":
             return
 
-        if self.name in MODELS_SUPPORT_FREEU:
+        if self.available_models[self.name].support_freeu():
             if config.sd_freeu:
                 freeu_config = config.sd_freeu_config
                 self.model.model.enable_freeu(
@@ -146,7 +118,7 @@ class ModelManager:
                 self.model.model.disable_freeu()
 
     def enable_disable_lcm_lora(self, config: Config):
-        if self.name in MODELS_SUPPORT_LCM_LORA:
+        if self.available_models[self.name].support_lcm_lora():
             if config.sd_lcm_lora:
                 if not self.model.model.pipe.get_list_adapters():
                     self.model.model.load_lora_weights(self.model.lcm_lora_id)

lama_cleaner/parse_args.py

@@ -6,7 +6,7 @@ from pathlib import Path
 from loguru import logger
 
 from lama_cleaner.const import *
-from lama_cleaner.download import cli_download_model
+from lama_cleaner.download import cli_download_model, scan_models
 from lama_cleaner.runtime import dump_environment_info
 
 DOWNLOAD_SUBCOMMAND = "download"
@@ -46,7 +46,11 @@ def parse_args():
         "--installer-config", default=None, help="Config file for windows installer"
     )
 
-    parser.add_argument("--model", default=DEFAULT_MODEL, choices=AVAILABLE_MODELS)
+    parser.add_argument(
+        "--model",
+        default=DEFAULT_MODEL,
+        help=f"Available models: [{', '.join(AVAILABLE_MODELS)}], or model id on huggingface",
+    )
     parser.add_argument("--no-half", action="store_true", help=NO_HALF_HELP)
     parser.add_argument("--cpu-offload", action="store_true", help=CPU_OFFLOAD_HELP)
     parser.add_argument("--disable-nsfw", action="store_true", help=DISABLE_NSFW_HELP)
@@ -56,10 +60,9 @@ def parse_args():
     parser.add_argument("--sd-controlnet", action="store_true", help=SD_CONTROLNET_HELP)
     parser.add_argument(
         "--sd-controlnet-method",
-        default=DEFAULT_CONTROLNET_METHOD,
+        default=DEFAULT_SD_CONTROLNET_METHOD,
         choices=SD_CONTROLNET_CHOICES,
     )
-    parser.add_argument("--sd-local-model-path", default=None, help=SD_LOCAL_MODEL_HELP)
     parser.add_argument(
         "--local-files-only", action="store_true", help=LOCAL_FILES_ONLY_HELP
     )
@@ -170,7 +173,8 @@ def parse_args():
     )
     #########
 
-    # useless args
+    ### useless args ###
+    parser.add_argument("--sd-local-model-path", default=None, help=argparse.SUPPRESS)
     parser.add_argument("--debug", action="store_true", help=argparse.SUPPRESS)
     parser.add_argument("--hf_access_token", default="", help=argparse.SUPPRESS)
     parser.add_argument(
@@ -180,6 +184,7 @@ def parse_args():
     parser.add_argument(
         "--sd-enable-xformers", action="store_true", help=argparse.SUPPRESS
     )
+    ### end useless args ###
 
     args = parser.parse_args()
     # collect system info to help debug
@@ -251,6 +256,17 @@ def parse_args():
         os.environ["XDG_CACHE_HOME"] = args.model_dir
         os.environ["U2NET_HOME"] = args.model_dir
 
+    if args.sd_run_local or args.local_files_only:
+        os.environ["TRANSFORMERS_OFFLINE"] = "1"
+        os.environ["HF_HUB_OFFLINE"] = "1"
+
+    if args.model not in AVAILABLE_MODELS:
+        scanned_models = scan_models()
+        if args.model not in [it.name for it in scanned_models]:
+            parser.error(
+                f"invalid --model: {args.model} not exists. Available models: {AVAILABLE_MODELS} or {scanned_models}"
+            )
+
     if args.input and args.input is not None:
         if not os.path.exists(args.input):
             parser.error(f"invalid --input: {args.input} not exists")

lama_cleaner/schema.py

@@ -4,6 +4,61 @@ from enum import Enum
 from PIL.Image import Image
 from pydantic import BaseModel
 
+DIFFUSERS_SD_CLASS_NAME = "StableDiffusionPipeline"
+DIFFUSERS_SD_INPAINT_CLASS_NAME = "StableDiffusionInpaintPipeline"
+DIFFUSERS_SDXL_CLASS_NAME = "StableDiffusionXLPipeline"
+DIFFUSERS_SDXL_INPAINT_CLASS_NAME = "StableDiffusionXLInpaintPipeline"
+
+
+class ModelType(str, Enum):
+    INPAINT = "inpaint"  # LaMa, MAT...
+    DIFFUSERS_SD = "diffusers_sd"
+    DIFFUSERS_SD_INPAINT = "diffusers_sd_inpaint"
+    DIFFUSERS_SDXL = "diffusers_sdxl"
+    DIFFUSERS_SDXL_INPAINT = "diffusers_sdxl_inpaint"
+    DIFFUSERS_OTHER = "diffusers_other"
+
+
+FREEU_DEFAULT_CONFIGS = {
+    ModelType.DIFFUSERS_SD: dict(s1=0.9, s2=0.2, b1=1.2, b2=1.4),
+    ModelType.DIFFUSERS_SDXL: dict(s1=0.6, s2=0.4, b1=1.1, b2=1.2),
+}
+
+
+class ModelInfo(BaseModel):
+    name: str
+    path: str
+    model_type: ModelType
+    is_single_file_diffusers: bool = False
+
+    def support_lcm_lora(self) -> bool:
+        return self.model_type in [
+            ModelType.DIFFUSERS_SD,
+            ModelType.DIFFUSERS_SDXL,
+            ModelType.DIFFUSERS_SD_INPAINT,
+            ModelType.DIFFUSERS_SDXL_INPAINT,
+        ]
+
+    def support_controlnet(self) -> bool:
+        return self.model_type in [
+            ModelType.DIFFUSERS_SD,
+            ModelType.DIFFUSERS_SDXL,
+            ModelType.DIFFUSERS_SD_INPAINT,
+            ModelType.DIFFUSERS_SDXL_INPAINT,
+        ]
+
+    def support_freeu(self) -> bool:
+        return (
+            self.model_type
+            in [
+                ModelType.DIFFUSERS_SD,
+                ModelType.DIFFUSERS_SDXL,
+                ModelType.DIFFUSERS_SD_INPAINT,
+                ModelType.DIFFUSERS_SDXL_INPAINT,
+            ]
+            or "instruct-pix2pix" in self.name
+        )
+
 
 class HDStrategy(str, Enum):
     # Use original image size

lama_cleaner/server.py

@@ -2,8 +2,6 @@
 import os
 import hashlib
 
-from lama_cleaner.diffusers_utils import scan_models
-
 os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
 
 import imghdr
@@ -22,9 +20,9 @@ from loguru import logger
 
 from lama_cleaner.const import (
     SD15_MODELS,
-    FREEU_DEFAULT_CONFIGS,
+    SD_CONTROLNET_CHOICES,
-    MODELS_SUPPORT_FREEU,
+    SDXL_CONTROLNET_CHOICES,
-    MODELS_SUPPORT_LCM_LORA,
+    SD2_CONTROLNET_CHOICES,
 )
 from lama_cleaner.file_manager import FileManager
 from lama_cleaner.model.utils import torch_gc
@@ -118,8 +116,8 @@ input_image_path: str = None
 is_disable_model_switch: bool = False
 is_controlnet: bool = False
 controlnet_method: str = "control_v11p_sd15_canny"
-is_enable_file_manager: bool = False
+enable_file_manager: bool = False
-is_enable_auto_saving: bool = False
+enable_auto_saving: bool = False
 is_desktop: bool = False
 image_quality: int = 95
 plugins = {}
@@ -421,34 +419,35 @@ def run_plugin():
 
 @app.route("/server_config", methods=["GET"])
 def get_server_config():
+    controlnet = {
+        "SD": SD_CONTROLNET_CHOICES,
+        "SD2": SD2_CONTROLNET_CHOICES,
+        "SDXL": SDXL_CONTROLNET_CHOICES,
+    }
     return {
-        "isControlNet": is_controlnet,
-        "controlNetMethod": controlnet_method,
-        "isDisableModelSwitchState": is_disable_model_switch,
-        "isEnableAutoSaving": is_enable_auto_saving,
-        "enableFileManager": is_enable_file_manager,
         "plugins": list(plugins.keys()),
-        "freeSupportedModels": MODELS_SUPPORT_FREEU,
+        "availableControlNet": controlnet,
-        "freeuDefaultConfigs": FREEU_DEFAULT_CONFIGS,
+        "enableFileManager": enable_file_manager,
-        "lcmLoraSupportedModels": MODELS_SUPPORT_LCM_LORA,
+        "enableAutoSaving": enable_auto_saving,
     }, 200
 
 
-@app.route("/sd_models", methods=["GET"])
+@app.route("/models", methods=["GET"])
-def get_diffusers_models():
+def get_models():
-    from diffusers.utils import DIFFUSERS_CACHE
+    return [
-
+        {
-    return scan_models(DIFFUSERS_CACHE)
+            **it.dict(),
+            "support_lcm_lora": it.support_lcm_lora(),
+            "support_controlnet": it.support_controlnet(),
+            "support_freeu": it.support_freeu(),
+        }
+        for it in model.scan_models()
+    ]
 
 
 @app.route("/model")
 def current_model():
-    return model.name, 200
+    return model.available_models[model.name].dict(), 200
-
-
-@app.route("/model_downloaded/<name>")
-def model_downloaded(name):
-    return str(model.is_downloaded(name)), 200
 
 
 @app.route("/is_desktop")
@@ -467,8 +466,10 @@ def switch_model():
 
     try:
         model.switch(new_name)
-    except NotImplementedError:
+    except Exception as e:
-        return f"{new_name} not implemented", 403
+        error_message = str(e)
+        logger.error(error_message)
+        return f"Switch model failed: {error_message}", 500
     return f"ok, switch to {new_name}", 200
 
 
@@ -478,7 +479,7 @@ def index():
 
 
 @app.route("/inputimage")
-def set_input_photo():
+def get_cli_input_image():
     if input_image_path:
         with open(input_image_path, "rb") as f:
             image_in_bytes = f.read()
@@ -547,11 +548,10 @@ def main(args):
     global device
     global input_image_path
     global is_disable_model_switch
-    global is_enable_file_manager
+    global enable_file_manager
     global is_desktop
     global thumb
     global output_dir
-    global is_enable_auto_saving
     global is_controlnet
     global controlnet_method
     global image_quality
@@ -566,7 +566,9 @@ def main(args):
 
     output_dir = args.output_dir
     if output_dir:
-        is_enable_auto_saving = True
+        output_dir = os.path.abspath(output_dir)
+        logger.info(f"Output dir: {output_dir}")
+        enable_auto_saving = True
 
     device = torch.device(args.device)
     is_disable_model_switch = args.disable_model_switch
@@ -579,12 +581,12 @@ def main(args):
     if args.input and os.path.isdir(args.input):
         logger.info(f"Initialize file manager")
         thumb = FileManager(app)
-        is_enable_file_manager = True
+        enable_file_manager = True
         app.config["THUMBNAIL_MEDIA_ROOT"] = args.input
         app.config["THUMBNAIL_MEDIA_THUMBNAIL_ROOT"] = os.path.join(
-            args.output_dir, "lama_cleaner_thumbnails"
+            output_dir, "lama_cleaner_thumbnails"
         )
-        thumb.output_dir = Path(args.output_dir)
+        thumb.output_dir = Path(output_dir)
         # thumb.start()
         # try:
         #     while True:

web_app/package-lock.json

@@ -9,7 +9,9 @@
       "version": "0.0.0",
       "dependencies": {
         "@heroicons/react": "^2.0.18",
+        "@hookform/resolvers": "^3.3.2",
         "@radix-ui/react-accordion": "^1.1.2",
+        "@radix-ui/react-alert-dialog": "^1.0.5",
         "@radix-ui/react-dialog": "^1.0.5",
         "@radix-ui/react-dropdown-menu": "^2.0.6",
         "@radix-ui/react-icons": "^1.3.0",
@@ -17,6 +19,7 @@
         "@radix-ui/react-popover": "^1.0.7",
         "@radix-ui/react-scroll-area": "^1.0.5",
         "@radix-ui/react-select": "^2.0.0",
+        "@radix-ui/react-separator": "^1.0.3",
         "@radix-ui/react-slider": "^1.1.2",
         "@radix-ui/react-slot": "^1.0.2",
         "@radix-ui/react-switch": "^1.0.3",
@@ -24,7 +27,9 @@
         "@radix-ui/react-toast": "^1.1.5",
         "@radix-ui/react-toggle": "^1.0.3",
         "@radix-ui/react-tooltip": "^1.0.7",
+        "@tanstack/react-query": "^5.8.7",
         "@uidotdev/usehooks": "^2.4.1",
+        "axios": "^1.6.2",
         "class-variance-authority": "^0.7.0",
         "clsx": "^2.0.0",
         "flexsearch": "^0.7.21",
@@ -35,6 +40,7 @@
         "next-themes": "^0.2.1",
         "react": "^18.2.0",
         "react-dom": "^18.2.0",
+        "react-hook-form": "^7.48.2",
         "react-hotkeys-hook": "^4.4.1",
         "react-photo-album": "^2.3.0",
         "react-use": "^17.4.0",
@@ -42,9 +48,12 @@
         "recoil": "^0.7.7",
         "tailwind-merge": "^2.0.0",
         "tailwindcss-animate": "^1.0.7",
+        "zod": "^3.22.4",
         "zustand": "^4.4.6"
       },
       "devDependencies": {
+        "@tanstack/eslint-plugin-query": "^5.8.4",
+        "@types/axios": "^0.14.0",
         "@types/flexsearch": "^0.7.3",
         "@types/lodash": "^4.14.201",
         "@types/node": "^20.9.2",
@@ -1069,6 +1078,14 @@
         "react": ">= 16"
       }
     },
+    "node_modules/@hookform/resolvers": {
+      "version": "3.3.2",
+      "resolved": "https://registry.npmjs.org/@hookform/resolvers/-/resolvers-3.3.2.tgz",
+      "integrity": "sha512-Tw+GGPnBp+5DOsSg4ek3LCPgkBOuOgS5DsDV7qsWNH9LZc433kgsWICjlsh2J9p04H2K66hsXPPb9qn9ILdUtA==",
+      "peerDependencies": {
+        "react-hook-form": "^7.0.0"
+      }
+    },
     "node_modules/@humanwhocodes/config-array": {
       "version": "0.11.13",
       "resolved": "https://registry.npmjs.org/@humanwhocodes/config-array/-/config-array-0.11.13.tgz",
@@ -1374,6 +1391,34 @@
         }
       }
     },
+    "node_modules/@radix-ui/react-alert-dialog": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-alert-dialog/-/react-alert-dialog-1.0.5.tgz",
+      "integrity": "sha512-OrVIOcZL0tl6xibeuGt5/+UxoT2N27KCFOPjFyfXMnchxSHZ/OW7cCX2nGlIYJrbHK/fczPcFzAwvNBB6XBNMA==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/primitive": "1.0.1",
+        "@radix-ui/react-compose-refs": "1.0.1",
+        "@radix-ui/react-context": "1.0.1",
+        "@radix-ui/react-dialog": "1.0.5",
+        "@radix-ui/react-primitive": "1.0.3",
+        "@radix-ui/react-slot": "1.0.2"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/@radix-ui/react-arrow": {
       "version": "1.0.3",
       "resolved": "https://registry.npmjs.org/@radix-ui/react-arrow/-/react-arrow-1.0.3.tgz",
@@ -1971,6 +2016,29 @@
         }
       }
     },
+    "node_modules/@radix-ui/react-separator": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-separator/-/react-separator-1.0.3.tgz",
+      "integrity": "sha512-itYmTy/kokS21aiV5+Z56MZB54KrhPgn6eHDKkFeOLR34HMN2s8PaN47qZZAGnvupcjxHaFZnW4pQEh0BvvVuw==",
+      "dependencies": {
+        "@babel/runtime": "^7.13.10",
+        "@radix-ui/react-primitive": "1.0.3"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0",
+        "react-dom": "^16.8 || ^17.0 || ^18.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/@radix-ui/react-slider": {
       "version": "1.1.2",
       "resolved": "https://registry.npmjs.org/@radix-ui/react-slider/-/react-slider-1.1.2.tgz",
@@ -2703,6 +2771,188 @@
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       "dev": true
     },
+    "node_modules/@tanstack/eslint-plugin-query": {
+      "version": "5.8.4",
+      "resolved": "https://registry.npmjs.org/@tanstack/eslint-plugin-query/-/eslint-plugin-query-5.8.4.tgz",
+      "integrity": "sha512-KVgcMc+Bn1qbwkxYVWQoiVSNEIN4IAiLj3cUH/SAHT8m8E59Y97o8ON1syp0Rcw094ItG8pEVZFyQuOaH6PDgQ==",
+      "dev": true,
+      "dependencies": {
+        "@typescript-eslint/utils": "^5.54.0"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/tannerlinsley"
+      },
+      "peerDependencies": {
+        "eslint": "^8.0.0"
+      }
+    },
+    "node_modules/@tanstack/eslint-plugin-query/node_modules/@typescript-eslint/scope-manager": {
+      "version": "5.62.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-5.62.0.tgz",
+      "integrity": "sha512-VXuvVvZeQCQb5Zgf4HAxc04q5j+WrNAtNh9OwCsCgpKqESMTu3tF/jhZ3xG6T4NZwWl65Bg8KuS2uEvhSfLl0w==",
+      "dev": true,
+      "dependencies": {
+        "@typescript-eslint/types": "5.62.0",
+        "@typescript-eslint/visitor-keys": "5.62.0"
+      },
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+        "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/typescript-eslint"
+      }
+    },
+    "node_modules/@tanstack/eslint-plugin-query/node_modules/@typescript-eslint/types": {
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+        "globby": "^11.1.0",
+        "is-glob": "^4.0.3",
+        "semver": "^7.3.7",
+        "tsutils": "^3.21.0"
+      },
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+        "typescript": {
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+    "node_modules/@tanstack/eslint-plugin-query/node_modules/@typescript-eslint/utils": {
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+      "dev": true,
+      "dependencies": {
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+        "@types/json-schema": "^7.0.9",
+        "@types/semver": "^7.3.12",
+        "@typescript-eslint/scope-manager": "5.62.0",
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+        "semver": "^7.3.7"
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+      },
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+        "type": "opencollective",
+        "url": "https://opencollective.com/typescript-eslint"
+      },
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+      }
+    },
+    "node_modules/@tanstack/eslint-plugin-query/node_modules/@typescript-eslint/visitor-keys": {
+      "version": "5.62.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-5.62.0.tgz",
+      "integrity": "sha512-07ny+LHRzQXepkGg6w0mFY41fVUNBrL2Roj/++7V1txKugfjm/Ci/qSND03r2RhlJhJYMcTn9AhhSSqQp0Ysyw==",
+      "dev": true,
+      "dependencies": {
+        "@typescript-eslint/types": "5.62.0",
+        "eslint-visitor-keys": "^3.3.0"
+      },
+      "engines": {
+        "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/typescript-eslint"
+      }
+    },
+    "node_modules/@tanstack/eslint-plugin-query/node_modules/eslint-scope": {
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/eslint-scope/-/eslint-scope-5.1.1.tgz",
+      "integrity": "sha512-2NxwbF/hZ0KpepYN0cNbo+FN6XoK7GaHlQhgx/hIZl6Va0bF45RQOOwhLIy8lQDbuCiadSLCBnH2CFYquit5bw==",
+      "dev": true,
+      "dependencies": {
+        "esrecurse": "^4.3.0",
+        "estraverse": "^4.1.1"
+      },
+      "engines": {
+        "node": ">=8.0.0"
+      }
+    },
+    "node_modules/@tanstack/eslint-plugin-query/node_modules/estraverse": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/estraverse/-/estraverse-4.3.0.tgz",
+      "integrity": "sha512-39nnKffWz8xN1BU/2c79n9nB9HDzo0niYUqx6xyqUnyoAnQyyWpOTdZEeiCch8BBu515t4wp9ZmgVfVhn9EBpw==",
+      "dev": true,
+      "engines": {
+        "node": ">=4.0"
+      }
+    },
+    "node_modules/@tanstack/query-core": {
+      "version": "5.8.7",
+      "resolved": "https://registry.npmjs.org/@tanstack/query-core/-/query-core-5.8.7.tgz",
+      "integrity": "sha512-58xOSkxxZK4SGQ/uzX8MDZHLGZCkxlgkPxnfhxUOL2uchnNHyay2UVcR3mQNMgaMwH1e2l+0n+zfS7+UJ/MAJw==",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/tannerlinsley"
+      }
+    },
+    "node_modules/@tanstack/react-query": {
+      "version": "5.8.7",
+      "resolved": "https://registry.npmjs.org/@tanstack/react-query/-/react-query-5.8.7.tgz",
+      "integrity": "sha512-RYSSMmkhbJ7tPkf8w+MSRIXQLoUCm7DRnTLDcdf+uampupnriEsob3fVWTt9oaEj+AJWEKeCErDBdZeNcAzURQ==",
+      "dependencies": {
+        "@tanstack/query-core": "5.8.7"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/tannerlinsley"
+      },
+      "peerDependencies": {
+        "react": "^18.0.0",
+        "react-dom": "^18.0.0",
+        "react-native": "*"
+      },
+      "peerDependenciesMeta": {
+        "react-dom": {
+          "optional": true
+        },
+        "react-native": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@types/axios": {
+      "version": "0.14.0",
+      "resolved": "https://registry.npmjs.org/@types/axios/-/axios-0.14.0.tgz",
+      "integrity": "sha512-KqQnQbdYE54D7oa/UmYVMZKq7CO4l8DEENzOKc4aBRwxCXSlJXGz83flFx5L7AWrOQnmuN3kVsRdt+GZPPjiVQ==",
+      "deprecated": "This is a stub types definition for axios (https://github.com/mzabriskie/axios). axios provides its own type definitions, so you don't need @types/axios installed!",
+      "dev": true,
+      "dependencies": {
+        "axios": "*"
+      }
+    },
     "node_modules/@types/babel__core": {
       "version": "7.20.4",
       "resolved": "https://registry.npmjs.org/@types/babel__core/-/babel__core-7.20.4.tgz",
@@ -3166,6 +3416,11 @@
         "node": ">=8"
       }
     },
+    "node_modules/asynckit": {
+      "version": "0.4.0",
+      "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
+      "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
+    },
     "node_modules/autoprefixer": {
       "version": "10.4.16",
       "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.16.tgz",
@@ -3203,6 +3458,16 @@
         "postcss": "^8.1.0"
       }
     },
+    "node_modules/axios": {
+      "version": "1.6.2",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.6.2.tgz",
+      "integrity": "sha512-7i24Ri4pmDRfJTR7LDBhsOTtcm+9kjX5WiY1X3wIisx6G9So3pfMkEiU7emUBe46oceVImccTEM3k6C5dbVW8A==",
+      "dependencies": {
+        "follow-redirects": "^1.15.0",
+        "form-data": "^4.0.0",
+        "proxy-from-env": "^1.1.0"
+      }
+    },
     "node_modules/balanced-match": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
@@ -3412,6 +3677,17 @@
       "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
       "dev": true
     },
+    "node_modules/combined-stream": {
+      "version": "1.0.8",
+      "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
+      "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
+      "dependencies": {
+        "delayed-stream": "~1.0.0"
+      },
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
     "node_modules/commander": {
       "version": "4.1.1",
       "resolved": "https://registry.npmjs.org/commander/-/commander-4.1.1.tgz",
@@ -3512,6 +3788,14 @@
       "integrity": "sha512-oIPzksmTg4/MriiaYGO+okXDT7ztn/w3Eptv/+gSIdMdKsJo0u4CfYNFJPy+4SKMuCqGw2wxnA+URMg3t8a/bQ==",
       "dev": true
     },
+    "node_modules/delayed-stream": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
+      "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==",
+      "engines": {
+        "node": ">=0.4.0"
+      }
+    },
     "node_modules/detect-node-es": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/detect-node-es/-/detect-node-es-1.1.0.tgz",
@@ -3916,6 +4200,38 @@
       "resolved": "https://registry.npmjs.org/flexsearch/-/flexsearch-0.7.31.tgz",
       "integrity": "sha512-XGozTsMPYkm+6b5QL3Z9wQcJjNYxp0CYn3U1gO7dwD6PAqU1SVWZxI9CCg3z+ml3YfqdPnrBehaBrnH2AGKbNA=="
     },
+    "node_modules/follow-redirects": {
+      "version": "1.15.3",
+      "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.3.tgz",
+      "integrity": "sha512-1VzOtuEM8pC9SFU1E+8KfTjZyMztRsgEfwQl44z8A25uy13jSzTj6dyK2Df52iV0vgHCfBwLhDWevLn95w5v6Q==",
+      "funding": [
+        {
+          "type": "individual",
+          "url": "https://github.com/sponsors/RubenVerborgh"
+        }
+      ],
+      "engines": {
+        "node": ">=4.0"
+      },
+      "peerDependenciesMeta": {
+        "debug": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/form-data": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
+      "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
+      "dependencies": {
+        "asynckit": "^0.4.0",
+        "combined-stream": "^1.0.8",
+        "mime-types": "^2.1.12"
+      },
+      "engines": {
+        "node": ">= 6"
+      }
+    },
     "node_modules/fraction.js": {
       "version": "4.3.7",
       "resolved": "https://registry.npmjs.org/fraction.js/-/fraction.js-4.3.7.tgz",
@@ -4413,6 +4729,25 @@
         "node": ">=8.6"
       }
     },
+    "node_modules/mime-db": {
+      "version": "1.52.0",
+      "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
+      "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/mime-types": {
+      "version": "2.1.35",
+      "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
+      "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
+      "dependencies": {
+        "mime-db": "1.52.0"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
     "node_modules/minimatch": {
       "version": "3.1.2",
       "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
@@ -4868,6 +5203,11 @@
         "node": ">= 0.8.0"
       }
     },
+    "node_modules/proxy-from-env": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
+      "integrity": "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg=="
+    },
     "node_modules/punycode": {
       "version": "2.3.1",
       "resolved": "https://registry.npmjs.org/punycode/-/punycode-2.3.1.tgz",
@@ -4919,6 +5259,21 @@
         "react": "^18.2.0"
       }
     },
+    "node_modules/react-hook-form": {
+      "version": "7.48.2",
+      "resolved": "https://registry.npmjs.org/react-hook-form/-/react-hook-form-7.48.2.tgz",
+      "integrity": "sha512-H0T2InFQb1hX7qKtDIZmvpU1Xfn/bdahWBN1fH19gSe4bBEqTfmlr7H3XWTaVtiK4/tpPaI1F3355GPMZYge+A==",
+      "engines": {
+        "node": ">=12.22.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/react-hook-form"
+      },
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17 || ^18"
+      }
+    },
     "node_modules/react-hotkeys-hook": {
       "version": "4.4.1",
       "resolved": "https://registry.npmjs.org/react-hotkeys-hook/-/react-hotkeys-hook-4.4.1.tgz",
@@ -5610,6 +5965,27 @@
       "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz",
       "integrity": "sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q=="
     },
+    "node_modules/tsutils": {
+      "version": "3.21.0",
+      "resolved": "https://registry.npmjs.org/tsutils/-/tsutils-3.21.0.tgz",
+      "integrity": "sha512-mHKK3iUXL+3UF6xL5k0PEhKRUBKPBCv/+RkEOpjRWxxx27KKRBmmA60A9pgOUvMi8GKhRMPEmjBRPzs2W7O1OA==",
+      "dev": true,
+      "dependencies": {
+        "tslib": "^1.8.1"
+      },
+      "engines": {
+        "node": ">= 6"
+      },
+      "peerDependencies": {
+        "typescript": ">=2.8.0 || >= 3.2.0-dev || >= 3.3.0-dev || >= 3.4.0-dev || >= 3.5.0-dev || >= 3.6.0-dev || >= 3.6.0-beta || >= 3.7.0-dev || >= 3.7.0-beta"
+      }
+    },
+    "node_modules/tsutils/node_modules/tslib": {
+      "version": "1.14.1",
+      "resolved": "https://registry.npmjs.org/tslib/-/tslib-1.14.1.tgz",
+      "integrity": "sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg==",
+      "dev": true
+    },
     "node_modules/type-check": {
       "version": "0.4.0",
       "resolved": "https://registry.npmjs.org/type-check/-/type-check-0.4.0.tgz",
@@ -5860,6 +6236,14 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/zod": {
+      "version": "3.22.4",
+      "resolved": "https://registry.npmjs.org/zod/-/zod-3.22.4.tgz",
+      "integrity": "sha512-iC+8Io04lddc+mVqQ9AZ7OQ2MrUKGN+oIQyq1vemgt46jwCwLfhq7/pwnBnNXXXZb8VTVLKwp9EDkx+ryxIWmg==",
+      "funding": {
+        "url": "https://github.com/sponsors/colinhacks"
+      }
+    },
     "node_modules/zustand": {
       "version": "4.4.6",
       "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.4.6.tgz",

web_app/package.json

@@ -11,7 +11,9 @@
   },
   "dependencies": {
     "@heroicons/react": "^2.0.18",
+    "@hookform/resolvers": "^3.3.2",
     "@radix-ui/react-accordion": "^1.1.2",
+    "@radix-ui/react-alert-dialog": "^1.0.5",
     "@radix-ui/react-dialog": "^1.0.5",
     "@radix-ui/react-dropdown-menu": "^2.0.6",
     "@radix-ui/react-icons": "^1.3.0",
@@ -19,6 +21,7 @@
     "@radix-ui/react-popover": "^1.0.7",
     "@radix-ui/react-scroll-area": "^1.0.5",
     "@radix-ui/react-select": "^2.0.0",
+    "@radix-ui/react-separator": "^1.0.3",
     "@radix-ui/react-slider": "^1.1.2",
     "@radix-ui/react-slot": "^1.0.2",
     "@radix-ui/react-switch": "^1.0.3",
@@ -26,7 +29,9 @@
     "@radix-ui/react-toast": "^1.1.5",
     "@radix-ui/react-toggle": "^1.0.3",
     "@radix-ui/react-tooltip": "^1.0.7",
+    "@tanstack/react-query": "^5.8.7",
     "@uidotdev/usehooks": "^2.4.1",
+    "axios": "^1.6.2",
     "class-variance-authority": "^0.7.0",
     "clsx": "^2.0.0",
     "flexsearch": "^0.7.21",
@@ -37,6 +42,7 @@
     "next-themes": "^0.2.1",
     "react": "^18.2.0",
     "react-dom": "^18.2.0",
+    "react-hook-form": "^7.48.2",
     "react-hotkeys-hook": "^4.4.1",
     "react-photo-album": "^2.3.0",
     "react-use": "^17.4.0",
@@ -44,9 +50,12 @@
     "recoil": "^0.7.7",
     "tailwind-merge": "^2.0.0",
     "tailwindcss-animate": "^1.0.7",
+    "zod": "^3.22.4",
     "zustand": "^4.4.6"
   },
   "devDependencies": {
+    "@tanstack/eslint-plugin-query": "^5.8.4",
+    "@types/axios": "^0.14.0",
     "@types/flexsearch": "^0.7.3",
     "@types/lodash": "^4.14.201",
     "@types/node": "^20.9.2",

web_app/src/App.tsx

@@ -1,7 +1,6 @@
 import { useCallback, useEffect, useMemo, useRef, useState } from "react"
 import { nanoid } from "nanoid"
-import { useSetRecoilState } from "recoil"
+
-import { serverConfigState } from "@/lib/store"
 import useInputImage from "@/hooks/useInputImage"
 import { keepGUIAlive } from "@/lib/utils"
 import { getServerConfig, isDesktop } from "@/lib/api"
@@ -19,10 +18,13 @@ const SUPPORTED_FILE_TYPE = [
   "image/tiff",
 ]
 function Home() {
-  const [file, setFile] = useStore((state) => [state.file, state.setFile])
+  const [file, setServerConfig, setFile] = useStore((state) => [
+    state.file,
+    state.setServerConfig,
+    state.setFile,
+  ])
 
   const userInputImage = useInputImage()
-  const setServerConfigState = useSetRecoilState(serverConfigState)
 
   useEffect(() => {
     if (userInputImage) {
@@ -44,8 +46,7 @@ function Home() {
   useEffect(() => {
     const fetchServerConfig = async () => {
       const serverConfig = await getServerConfig().then((res) => res.json())
-      console.log(serverConfig)
+      setServerConfig(serverConfig)
-      setServerConfigState(serverConfig)
     }
     fetchServerConfig()
   }, [])

web_app/src/components/Cropper.tsx

@@ -1,5 +1,7 @@
 import { useStore } from "@/lib/states"
+import { cn } from "@/lib/utils"
 import React, { useEffect, useState } from "react"
+import { twMerge } from "tailwind-merge"
 
 const DOC_MOVE_OPTS = { capture: true, passive: false }
 
@@ -75,11 +77,6 @@ const Cropper = (props: Props) => {
     state.setCropperWidth,
     state.setCropperHeight,
   ])
-  //   const [x, setX] = useRecoilState(croperX)
-  //   const [y, setY] = useRecoilState(croperY)
-  //   const [height, setHeight] = useRecoilState(croperHeight)
-  //   const [width, setWidth] = useRecoilState(croperWidth)
-  //   const isInpainting = useRecoilValue(isInpaintingState)
 
   const [isResizing, setIsResizing] = useState(false)
   const [isMoving, setIsMoving] = useState(false)
@@ -100,7 +97,7 @@ const Cropper = (props: Props) => {
   })
 
   const onDragFocus = () => {
-    console.log("focus")
+    // console.log("focus")
   }
 
   const clampLeftRight = (newX: number, newWidth: number) => {
@@ -254,102 +251,64 @@ const Cropper = (props: Props) => {
     }
   }
 
-  const createCropSelection = () => {
+  const createDragHandle = (cursor: string, side1: string, side2: string) => {
+    const sideLength = 12
+    const draghandleCls = `w-[${sideLength}px] h-[${sideLength}px] z-4 absolute block border-2 border-primary borde pointer-events-auto hover:bg-primary`
+
+    let side2Cls = `${side2}-[-${sideLength / 2}px]`
+    if (side2 === "") {
+      if (side1 === "top" || side1 === "bottom") {
+        side2Cls = `left-[calc(50%-${sideLength / 2}px)]`
+      } else if (side1 === "left" || side1 === "right") {
+        side2Cls = `top-[calc(50%-${sideLength / 2}px)]`
+      }
+    }
+
     return (
       <div
-        className="drag-elements"
+        className={cn(
-        onFocus={onDragFocus}
+          draghandleCls,
-        onPointerDown={onCropPointerDown}
+          `${cursor}`,
-      >
+          side1 ? `${side1}-[-${sideLength / 2}px]` : "",
+          side2Cls
+        )}
+        data-ord={side1 + side2}
+        aria-label={side1 + side2}
+        tabIndex={-1}
+        role="button"
+      />
+    )
+  }
+
+  const createCropSelection = () => {
+    return (
+      <div onFocus={onDragFocus} onPointerDown={onCropPointerDown}>
         <div
-          className="drag-bar ord-top"
+          className="absolute pointer-events-auto top-0 left-0 w-full cursor-ns-resize h-[12px] mt-[-6px]"
           data-ord="top"
-          style={{ transform: `scale(${1 / scale})` }}
         />
         <div
-          className="drag-bar ord-right"
+          className="absolute pointer-events-auto top-0 right-0 h-full cursor-ew-resize w-[12px] mr-[-6px]"
           data-ord="right"
-          style={{ transform: `scale(${1 / scale})` }}
         />
         <div
-          className="drag-bar ord-bottom"
+          className="absolute pointer-events-auto bottom-0 left-0 w-full cursor-ns-resize h-[12px] mb-[-6px]"
           data-ord="bottom"
-          style={{ transform: `scale(${1 / scale})` }}
         />
         <div
-          className="drag-bar ord-left"
+          className="absolute pointer-events-auto top-0 left-0 h-full cursor-ew-resize w-[12px] ml-[-6px]"
           data-ord="left"
-          style={{ transform: `scale(${1 / scale})` }}
         />
 
-        <div
+        {createDragHandle("cursor-nw-resize", "top", "left")}
-          className="drag-handle ord-topleft"
+        {createDragHandle("cursor-ne-resize", "top", "right")}
-          data-ord="topleft"
+        {createDragHandle("cursor-se-resize", "bottom", "left")}
-          aria-label="topleft"
+        {createDragHandle("cursor-sw-resize", "bottom", "right")}
-          tabIndex={0}
-          role="button"
-          style={{ transform: `scale(${1 / scale})` }}
-        />
 
-        <div
+        {createDragHandle("cursor-ns-resize", "top", "")}
-          className="drag-handle ord-topright"
+        {createDragHandle("cursor-ns-resize", "bottom", "")}
-          data-ord="topright"
+        {createDragHandle("cursor-ew-resize", "left", "")}
-          aria-label="topright"
+        {createDragHandle("cursor-ew-resize", "right", "")}
-          tabIndex={0}
-          role="button"
-          style={{ transform: `scale(${1 / scale})` }}
-        />
-
-        <div
-          className="drag-handle ord-bottomleft"
-          data-ord="bottomleft"
-          aria-label="bottomleft"
-          tabIndex={0}
-          role="button"
-          style={{ transform: `scale(${1 / scale})` }}
-        />
-
-        <div
-          className="drag-handle ord-bottomright"
-          data-ord="bottomright"
-          aria-label="bottomright"
-          tabIndex={0}
-          role="button"
-          style={{ transform: `scale(${1 / scale})` }}
-        />
-
-        <div
-          className="drag-handle ord-top"
-          data-ord="top"
-          aria-label="top"
-          tabIndex={0}
-          role="button"
-          style={{ transform: `scale(${1 / scale})` }}
-        />
-        <div
-          className="drag-handle ord-right"
-          data-ord="right"
-          aria-label="right"
-          tabIndex={0}
-          role="button"
-          style={{ transform: `scale(${1 / scale})` }}
-        />
-        <div
-          className="drag-handle ord-bottom"
-          data-ord="bottom"
-          aria-label="bottom"
-          tabIndex={0}
-          role="button"
-          style={{ transform: `scale(${1 / scale})` }}
-        />
-        <div
-          className="drag-handle ord-left"
-          data-ord="left"
-          aria-label="left"
-          tabIndex={0}
-          role="button"
-          style={{ transform: `scale(${1 / scale})` }}
-        />
       </div>
     )
   }
@@ -370,18 +329,18 @@ const Cropper = (props: Props) => {
   const createInfoBar = () => {
     return (
       <div
-        className="border absolute pointer-events-auto text-[1rem] px-[0.8rem] py-[0.2rem] flex items-center justify-center gap-[12px] rounded-full hover:cursor-move"
+        className={twMerge(
-        onPointerDown={onInfoBarPointerDown}
+          "border absolute pointer-events-auto px-2 py-1 rounded-full hover:cursor-move bg-background",
+          "origin-top-left top-0 left-0"
+        )}
         style={{
-          transform: `scale(${1 / scale})`,
+          transform: `scale(${(1 / scale) * 0.8})`,
-          top: `${10 / scale}px`,
-          left: `${10 / scale}px`,
         }}
+        onPointerDown={onInfoBarPointerDown}
       >
-        <div>
+        {/* TODO: 移动的时候会显示 brush */}
         {width} x {height}
       </div>
-      </div>
     )
   }
 

web_app/src/components/Editor.tsx

@@ -3,13 +3,10 @@ import { CursorArrowRaysIcon } from "@heroicons/react/24/outline"
 import { useToast } from "@/components/ui/use-toast"
 import {
   ReactZoomPanPinchContentRef,
-  ReactZoomPanPinchRef,
   TransformComponent,
   TransformWrapper,
 } from "react-zoom-pan-pinch"
-import { useRecoilState, useRecoilValue, useSetRecoilState } from "recoil"
+import { useKeyPressEvent, useWindowSize } from "react-use"
-import { useWindowSize } from "react-use"
-// import { useWindowSize, useKey, useKeyPressEvent } from "@uidotdev/usehooks"
 import inpaint, { downloadToOutput, runPlugin } from "@/lib/api"
 import { IconButton } from "@/components/ui/button"
 import {
@@ -22,23 +19,6 @@ import {
   srcToFile,
 } from "@/lib/utils"
 import { Eraser, Eye, Redo, Undo, Expand, Download } from "lucide-react"
-import {
-  croperState,
-  enableFileManagerState,
-  interactiveSegClicksState,
-  isDiffusionModelsState,
-  isEnableAutoSavingState,
-  isInteractiveSegRunningState,
-  isInteractiveSegState,
-  isPix2PixState,
-  isPluginRunningState,
-  isProcessingState,
-  negativePropmtState,
-  runManuallyState,
-  seedState,
-  settingState,
-} from "@/lib/store"
-// import Croper from "../Croper/Croper"
 import emitter, {
   EVENT_PROMPT,
   EVENT_CUSTOM_MASK,
@@ -49,19 +29,15 @@ import emitter, {
 } from "@/lib/event"
 import { useImage } from "@/hooks/useImage"
 import { Slider } from "./ui/slider"
-// import FileSelect from "../FileSelect/FileSelect"
-// import InteractiveSeg from "../InteractiveSeg/InteractiveSeg"
-// import InteractiveSegConfirmActions from "../InteractiveSeg/ConfirmActions"
-// import InteractiveSegReplaceModal from "../InteractiveSeg/ReplaceModal"
 import { PluginName } from "@/lib/types"
 import { useHotkeys } from "react-hotkeys-hook"
 import { useStore } from "@/lib/states"
 import Cropper from "./Cropper"
-import { HotkeysEvent } from "react-hotkeys-hook/dist/types"
 
 const TOOLBAR_HEIGHT = 200
 const MIN_BRUSH_SIZE = 10
 const MAX_BRUSH_SIZE = 200
+const COMPARE_SLIDER_DURATION_MS = 300
 const BRUSH_COLOR = "#ffcc00bb"
 
 interface Line {
@@ -110,48 +86,55 @@ export default function Editor(props: EditorProps) {
     imageWidth,
     imageHeight,
     baseBrushSize,
-    brushScale,
+    brushSizeScale,
-    promptVal,
+    settings,
+    enableAutoSaving,
+    cropperRect,
+    enableManualInpainting,
     setImageSize,
     setBrushSize,
     setIsInpainting,
+    setSeed,
+    interactiveSegState,
+    updateInteractiveSegState,
+    resetInteractiveSegState,
+    isPluginRunning,
+    setIsPluginRunning,
   ] = useStore((state) => [
     state.isInpainting,
     state.imageWidth,
     state.imageHeight,
     state.brushSize,
     state.brushSizeScale,
-    state.prompt,
+    state.settings,
+    state.serverConfig.enableAutoSaving,
+    state.cropperState,
+    state.settings.enableManualInpainting,
     state.setImageSize,
     state.setBrushSize,
     state.setIsInpainting,
+    state.setSeed,
+    state.interactiveSegState,
+    state.updateInteractiveSegState,
+    state.resetInteractiveSegState,
+    state.isPluginRunning,
+    state.setIsPluginRunning,
   ])
-  const brushSize = baseBrushSize * brushScale
+  const brushSize = baseBrushSize * brushSizeScale
 
   // 纯 local state
   const [showOriginal, setShowOriginal] = useState(false)
 
   //
-  const negativePromptVal = useRecoilValue(negativePropmtState)
+  const isProcessing = isInpainting
-  const settings = useRecoilValue(settingState)
+  const isDiffusionModels = false
-  const [seedVal, setSeed] = useRecoilState(seedState)
+  const isPix2Pix = false
-  const croperRect = useRecoilValue(croperState)
-  const setIsPluginRunning = useSetRecoilState(isPluginRunningState)
-  const isProcessing = useRecoilValue(isProcessingState)
-  const runMannually = useRecoilValue(runManuallyState)
-  const isDiffusionModels = useRecoilValue(isDiffusionModelsState)
-  const isPix2Pix = useRecoilValue(isPix2PixState)
-  const [isInteractiveSeg, setIsInteractiveSeg] = useRecoilState(
-    isInteractiveSegState
-  )
-  const setIsInteractiveSegRunning = useSetRecoilState(
-    isInteractiveSegRunningState
-  )
 
   const [showInteractiveSegModal, setShowInteractiveSegModal] = useState(false)
   const [interactiveSegMask, setInteractiveSegMask] = useState<
     HTMLImageElement | null | undefined
   >(null)
+
   // only used while interactive segmentation is on
   const [tmpInteractiveSegMask, setTmpInteractiveSegMask] = useState<
     HTMLImageElement | null | undefined
@@ -167,8 +150,6 @@ export default function Editor(props: EditorProps) {
   const [dreamButtonHoverLineGroup, setDreamButtonHoverLineGroup] =
     useState<LineGroup>([])
 
-  const [clicks, setClicks] = useRecoilState(interactiveSegClicksState)
-
   const [original, isOriginalLoaded] = useImage(file)
   const [renders, setRenders] = useState<HTMLImageElement[]>([])
   const [context, setContext] = useState<CanvasRenderingContext2D>()
@@ -201,7 +182,6 @@ export default function Editor(props: EditorProps) {
   const [initialCentered, setInitialCentered] = useState(false)
 
   const [isDraging, setIsDraging] = useState(false)
-  const [isMultiStrokeKeyPressed, setIsMultiStrokeKeyPressed] = useState(false)
 
   const [sliderPos, setSliderPos] = useState<number>(0)
 
@@ -209,8 +189,6 @@ export default function Editor(props: EditorProps) {
   const [redoRenders, setRedoRenders] = useState<HTMLImageElement[]>([])
   const [redoCurLines, setRedoCurLines] = useState<Line[]>([])
   const [redoLineGroups, setRedoLineGroups] = useState<LineGroup[]>([])
-  const enableFileManager = useRecoilValue(enableFileManagerState)
-  const isEnableAutoSaving = useRecoilValue(isEnableAutoSavingState)
 
   const draw = useCallback(
     (render: HTMLImageElement, lineGroup: LineGroup) => {
@@ -223,10 +201,10 @@ export default function Editor(props: EditorProps) {
 
       context.clearRect(0, 0, context.canvas.width, context.canvas.height)
       context.drawImage(render, 0, 0, imageWidth, imageHeight)
-      if (isInteractiveSeg && tmpInteractiveSegMask) {
+      if (interactiveSegState.isInteractiveSeg && tmpInteractiveSegMask) {
         context.drawImage(tmpInteractiveSegMask, 0, 0, imageWidth, imageHeight)
       }
-      if (!isInteractiveSeg && interactiveSegMask) {
+      if (!interactiveSegState.isInteractiveSeg && interactiveSegMask) {
         context.drawImage(interactiveSegMask, 0, 0, imageWidth, imageHeight)
       }
       if (dreamButtonHoverSegMask) {
@@ -243,7 +221,7 @@ export default function Editor(props: EditorProps) {
     },
     [
       context,
-      isInteractiveSeg,
+      interactiveSegState,
       tmpInteractiveSegMask,
       dreamButtonHoverSegMask,
       interactiveSegMask,
@@ -363,14 +341,12 @@ export default function Editor(props: EditorProps) {
       setCurLineGroup([])
       setIsDraging(false)
       setIsInpainting(true)
-      if (settings.graduallyInpainting) {
       drawLinesOnMask([maskLineGroup], maskImage)
-      } else {
-        drawLinesOnMask(newLineGroups)
-      }
 
       let targetFile = file
-      if (settings.graduallyInpainting === true) {
+      console.log(
+        `randers.length ${renders.length} useLastLineGroup: ${useLastLineGroup}`
+      )
       if (useLastLineGroup === true) {
         // renders.length == 1 还是用原来的
         if (renders.length > 1) {
@@ -391,17 +367,13 @@ export default function Editor(props: EditorProps) {
           file.type
         )
       }
-      }
 
       try {
         console.log("before run inpaint")
         const res = await inpaint(
           targetFile,
           settings,
-          croperRect,
+          cropperRect,
-          promptVal,
-          negativePromptVal,
-          seedVal,
           useCustomMask ? undefined : maskCanvas.toDataURL(),
           useCustomMask ? customMask : undefined,
           paintByExampleImage
@@ -445,18 +417,15 @@ export default function Editor(props: EditorProps) {
       setInteractiveSegMask(null)
     },
     [
+      renders,
       lineGroups,
       curLineGroup,
       maskCanvas,
-      settings.graduallyInpainting,
       settings,
-      croperRect,
+      cropperRect,
-      promptVal,
-      negativePromptVal,
       drawOnCurrentRender,
       hadDrawSomething,
       drawLinesOnMask,
-      seedVal,
     ]
   )
 
@@ -487,7 +456,6 @@ export default function Editor(props: EditorProps) {
   }, [
     hadDrawSomething,
     runInpainting,
-    promptVal,
     interactiveSegMask,
     prevInteractiveSegMask,
   ])
@@ -604,7 +572,7 @@ export default function Editor(props: EditorProps) {
 
   useEffect(() => {
     emitter.on(PluginName.InteractiveSeg, () => {
-      setIsInteractiveSeg(true)
+      // setIsInteractiveSeg(true)
       if (interactiveSegMask !== null) {
         setShowInteractiveSegModal(true)
       }
@@ -807,8 +775,8 @@ export default function Editor(props: EditorProps) {
     const offsetX = (windowSize.width - imageWidth * minScale) / 2
     const offsetY = (windowSize.height - imageHeight * minScale) / 2
     viewport.setTransform(offsetX, offsetY, minScale, 200, "easeOutQuad")
-    if (viewport.state) {
+    if (viewport.instance.transformState.scale) {
-      viewport.state.scale = minScale
+      viewport.instance.transformState.scale = minScale
     }
 
     setScale(minScale)
@@ -850,24 +818,12 @@ export default function Editor(props: EditorProps) {
     }
   }, [])
 
-  const onInteractiveCancel = useCallback(() => {
-    setIsInteractiveSeg(false)
-    setIsInteractiveSegRunning(false)
-    setClicks([])
-    setTmpInteractiveSegMask(null)
-  }, [])
-
   const handleEscPressed = () => {
     if (isProcessing) {
       return
     }
 
-    if (isInteractiveSeg) {
+    if (isDraging) {
-      onInteractiveCancel()
-      return
-    }
-
-    if (isDraging || isMultiStrokeKeyPressed) {
       setIsDraging(false)
       setCurLineGroup([])
       drawOnCurrentRender([])
@@ -879,9 +835,6 @@ export default function Editor(props: EditorProps) {
   useHotkeys("Escape", handleEscPressed, [
     isDraging,
     isInpainting,
-    isMultiStrokeKeyPressed,
-    isInteractiveSeg,
-    onInteractiveCancel,
     resetZoom,
     drawOnCurrentRender,
   ])
@@ -901,7 +854,7 @@ export default function Editor(props: EditorProps) {
       }
       return
     }
-    if (isInteractiveSeg) {
+    if (interactiveSegState.isInteractiveSeg) {
       return
     }
     if (isPanning) {
@@ -924,7 +877,7 @@ export default function Editor(props: EditorProps) {
       return
     }
 
-    setIsInteractiveSegRunning(true)
+    // setIsInteractiveSegRunning(true)
     const targetFile = await getCurrentRender()
     const prevMask = null
     try {
@@ -950,14 +903,14 @@ export default function Editor(props: EditorProps) {
         description: e.message ? e.message : e.toString(),
       })
     }
-    setIsInteractiveSegRunning(false)
+    // setIsInteractiveSegRunning(false)
   }
 
   const onPointerUp = (ev: SyntheticEvent) => {
     if (isMidClick(ev)) {
       setIsPanning(false)
     }
-    if (isInteractiveSeg) {
+    if (interactiveSegState.isInteractiveSeg) {
       return
     }
 
@@ -978,12 +931,7 @@ export default function Editor(props: EditorProps) {
       return
     }
 
-    if (isMultiStrokeKeyPressed) {
+    if (enableManualInpainting) {
-      setIsDraging(false)
-      return
-    }
-
-    if (runMannually) {
       setIsDraging(false)
     } else {
       runInpainting()
@@ -991,34 +939,34 @@ export default function Editor(props: EditorProps) {
   }
 
   const isOutsideCroper = (clickPnt: { x: number; y: number }) => {
-    if (clickPnt.x < croperRect.x) {
+    if (clickPnt.x < cropperRect.x) {
       return true
     }
-    if (clickPnt.y < croperRect.y) {
+    if (clickPnt.y < cropperRect.y) {
       return true
     }
-    if (clickPnt.x > croperRect.x + croperRect.width) {
+    if (clickPnt.x > cropperRect.x + cropperRect.width) {
       return true
     }
-    if (clickPnt.y > croperRect.y + croperRect.height) {
+    if (clickPnt.y > cropperRect.y + cropperRect.height) {
       return true
     }
     return false
   }
 
   const onCanvasMouseUp = (ev: SyntheticEvent) => {
-    if (isInteractiveSeg) {
+    if (interactiveSegState.isInteractiveSeg) {
       const xy = mouseXY(ev)
       const isX = xy.x
       const isY = xy.y
-      const newClicks: number[][] = [...clicks]
+      const newClicks: number[][] = [...interactiveSegState.clicks]
       if (isRightClick(ev)) {
         newClicks.push([isX, isY, 0, newClicks.length])
       } else {
         newClicks.push([isX, isY, 1, newClicks.length])
       }
       //   runInteractiveSeg(newClicks)
-      setClicks(newClicks)
+      updateInteractiveSegState({ clicks: newClicks })
     }
   }
 
@@ -1026,7 +974,7 @@ export default function Editor(props: EditorProps) {
     if (isProcessing) {
       return
     }
-    if (isInteractiveSeg) {
+    if (interactiveSegState.isInteractiveSeg) {
       return
     }
     if (isChangingBrushSizeByMouse) {
@@ -1063,7 +1011,7 @@ export default function Editor(props: EditorProps) {
     setIsDraging(true)
 
     let lineGroup: LineGroup = []
-    if (isMultiStrokeKeyPressed || runMannually) {
+    if (enableManualInpainting) {
       lineGroup = [...curLineGroup]
     }
     lineGroup.push({ size: brushSize, pts: [mouseXY(ev)] })
@@ -1122,9 +1070,9 @@ export default function Editor(props: EditorProps) {
     context,
   ])
 
-  const undo = (keyboardEvent: KeyboardEvent, hotkeysEvent: HotkeysEvent) => {
+  const undo = (keyboardEvent: KeyboardEvent | SyntheticEvent) => {
     keyboardEvent.preventDefault()
-    if (runMannually && curLineGroup.length !== 0) {
+    if (enableManualInpainting && curLineGroup.length !== 0) {
       undoStroke()
     } else {
       undoRender()
@@ -1134,7 +1082,7 @@ export default function Editor(props: EditorProps) {
   useHotkeys("meta+z,ctrl+z", undo, undefined, [
     undoStroke,
     undoRender,
-    runMannually,
+    enableManualInpainting,
     curLineGroup,
     context?.canvas,
     renders,
@@ -1148,7 +1096,7 @@ export default function Editor(props: EditorProps) {
       return false
     }
 
-    if (runMannually) {
+    if (enableManualInpainting) {
       if (curLineGroup.length === 0) {
         return true
       }
@@ -1188,9 +1136,9 @@ export default function Editor(props: EditorProps) {
     // draw(newRenders[newRenders.length - 1], [])
   }, [draw, renders, redoRenders, redoLineGroups, lineGroups, original])
 
-  const redo = (keyboardEvent: KeyboardEvent, hotkeysEvent: HotkeysEvent) => {
+  const redo = (keyboardEvent: KeyboardEvent | SyntheticEvent) => {
     keyboardEvent.preventDefault()
-    if (runMannually && redoCurLines.length !== 0) {
+    if (enableManualInpainting && redoCurLines.length !== 0) {
       redoStroke()
     } else {
       redoRender()
@@ -1200,7 +1148,7 @@ export default function Editor(props: EditorProps) {
   useHotkeys("shift+ctrl+z,shift+meta+z", redo, undefined, [
     redoStroke,
     redoRender,
-    runMannually,
+    enableManualInpainting,
     redoCurLines,
   ])
 
@@ -1212,7 +1160,7 @@ export default function Editor(props: EditorProps) {
       return false
     }
 
-    if (runMannually) {
+    if (enableManualInpainting) {
       if (redoCurLines.length === 0) {
         return true
       }
@@ -1223,37 +1171,39 @@ export default function Editor(props: EditorProps) {
     return false
   }
 
-  //   useKeyPressEvent(
+  useKeyPressEvent(
-  //     "Tab",
+    "Tab",
-  //     (ev) => {
+    (ev) => {
-  //       ev?.preventDefault()
+      ev?.preventDefault()
-  //       ev?.stopPropagation()
+      ev?.stopPropagation()
-  //       if (hadRunInpainting()) {
+      if (hadRunInpainting()) {
-  //         setShowOriginal(() => {
+        setShowOriginal(() => {
-  //           window.setTimeout(() => {
+          window.setTimeout(() => {
-  //             setSliderPos(100)
+            setSliderPos(100)
-  //           }, 10)
+          }, 10)
-  //           return true
+          return true
-  //         })
+        })
-  //       }
+      }
-  //     },
+    },
-  //     (ev) => {
+    (ev) => {
-  //       ev?.preventDefault()
+      ev?.preventDefault()
-  //       ev?.stopPropagation()
+      ev?.stopPropagation()
-  //       if (hadRunInpainting()) {
+      if (hadRunInpainting()) {
-  //         setSliderPos(0)
+        window.setTimeout(() => {
-  //         window.setTimeout(() => {
+          setSliderPos(0)
-  //           setShowOriginal(false)
+        }, 10)
-  //         }, 350)
+        window.setTimeout(() => {
-  //       }
+          setShowOriginal(false)
-  //     }
+        }, COMPARE_SLIDER_DURATION_MS)
-  //   )
+      }
+    }
+  )
 
   function download() {
     if (file === undefined) {
       return
     }
-    if ((enableFileManager || isEnableAutoSaving) && renders.length > 0) {
+    if (enableAutoSaving && renders.length > 0) {
       try {
         downloadToOutput(renders[renders.length - 1], file.name, file.type)
         toast({
@@ -1273,7 +1223,7 @@ export default function Editor(props: EditorProps) {
     const name = file.name.replace(/(\.[\w\d_-]+)$/i, "_cleanup$1")
     const curRender = renders[renders.length - 1]
     downloadImage(curRender.currentSrc, name)
-    if (settings.downloadMask) {
+    if (settings.enableDownloadMask) {
       let maskFileName = file.name.replace(/(\.[\w\d_-]+)$/i, "_mask$1")
       maskFileName = maskFileName.replace(/\.[^/.]+$/, ".jpg")
 
@@ -1305,104 +1255,98 @@ export default function Editor(props: EditorProps) {
     return undefined
   }, [showBrush, isPanning])
 
-  // Standard Hotkeys for Brush Size
+  useHotkeys(
-  //   useHotKey("[", () => {
+    "[",
-  //     setBrushSize((currentBrushSize: number) => {
+    () => {
-  //       if (currentBrushSize > 10) {
+      let newBrushSize = baseBrushSize
-  //         return currentBrushSize - 10
+      if (baseBrushSize > 10) {
-  //       }
+        newBrushSize = baseBrushSize - 10
-  //       if (currentBrushSize <= 10 && currentBrushSize > 0) {
+      }
-  //         return currentBrushSize - 5
+      if (baseBrushSize <= 10 && baseBrushSize > 0) {
-  //       }
+        newBrushSize = baseBrushSize - 5
-  //       return currentBrushSize
+      }
-  //     })
+      setBrushSize(newBrushSize)
-  //   })
+    },
+    [baseBrushSize]
+  )
 
-  //   useHotKey("]", () => {
+  useHotkeys(
-  //     setBrushSize((currentBrushSize: number) => {
+    "]",
-  //       return currentBrushSize + 10
+    () => {
-  //     })
+      setBrushSize(baseBrushSize + 10)
-  //   })
+    },
+    [baseBrushSize]
+  )
 
-  //   // Manual Inpainting Hotkey
+  // Manual Inpainting Hotkey
-  //   useHotKey(
+  useHotkeys(
-  //     "shift+r",
+    "shift+r",
-  //     () => {
+    () => {
-  //       if (runMannually && hadDrawSomething()) {
+      if (enableManualInpainting && hadDrawSomething()) {
-  //         runInpainting()
+        runInpainting()
-  //       }
+      }
-  //     },
+    },
-  //     {},
+    [enableManualInpainting, runInpainting, hadDrawSomething]
-  //     [runMannually, runInpainting, hadDrawSomething]
+  )
-  //   )
 
-  //   useHotKey(
+  useHotkeys(
-  //     "ctrl+c, cmd+c",
+    "ctrl+c, cmd+c",
-  //     async () => {
+    async () => {
-  //       const hasPermission = await askWritePermission()
+      const hasPermission = await askWritePermission()
-  //       if (hasPermission && renders.length > 0) {
+      if (hasPermission && renders.length > 0) {
-  //         if (context?.canvas) {
+        if (context?.canvas) {
-  //           await copyCanvasImage(context?.canvas)
+          await copyCanvasImage(context?.canvas)
-  //           setToastState({
+          toast({
-  //             open: true,
+            title: "Copy inpainting result to clipboard",
-  //             desc: "Copy inpainting result to clipboard",
+          })
-  //             state: "success",
+        }
-  //             duration: 3000,
+      }
-  //           })
+    },
-  //         }
+    [renders, context]
-  //       }
+  )
-  //     },
-  //     {},
-  //     [renders, context]
-  //   )
 
   // Toggle clean/zoom tool on spacebar.
-  //   useKeyPressEvent(
+  useKeyPressEvent(
-  //     " ",
+    " ",
-  //     (ev) => {
+    (ev) => {
-  //       if (!app.disableShortCuts) {
+      ev?.preventDefault()
-  //         ev?.preventDefault()
+      ev?.stopPropagation()
-  //         ev?.stopPropagation()
+      setShowBrush(false)
-  //         setShowBrush(false)
+      setIsPanning(true)
-  //         setIsPanning(true)
+    },
-  //       }
+    (ev) => {
-  //     },
+      ev?.preventDefault()
-  //     (ev) => {
+      ev?.stopPropagation()
-  //       if (!app.disableShortCuts) {
+      setShowBrush(true)
-  //         ev?.preventDefault()
+      setIsPanning(false)
-  //         ev?.stopPropagation()
+    }
-  //         setShowBrush(true)
+  )
-  //         setIsPanning(false)
-  //       }
-  //     }
-  //   )
 
-  //   useKeyPressEvent(
+  useKeyPressEvent(
-  //     "Alt",
+    "Alt",
-  //     (ev) => {
+    (ev) => {
-  //       ev?.preventDefault()
+      ev?.preventDefault()
-  //       ev?.stopPropagation()
+      ev?.stopPropagation()
-  //       setIsChangingBrushSizeByMouse(true)
+      setIsChangingBrushSizeByMouse(true)
-  //       setChangeBrushSizeByMouseInit({ x, y, brushSize })
+      setChangeBrushSizeByMouseInit({ x, y, brushSize })
-  //     },
+    },
-  //     (ev) => {
+    (ev) => {
-  //       ev?.preventDefault()
+      ev?.preventDefault()
-  //       ev?.stopPropagation()
+      ev?.stopPropagation()
-  //       setIsChangingBrushSizeByMouse(false)
+      setIsChangingBrushSizeByMouse(false)
-  //     }
+    }
-  //   )
+  )
 
   const getCurScale = (): number => {
     let s = minScale
-    if (viewportRef.current?.state?.scale !== undefined) {
+    if (viewportRef.current?.instance?.transformState.scale !== undefined) {
-      s = viewportRef.current?.state.scale
+      s = viewportRef.current?.instance?.transformState.scale
-      console.log("!!!!!!")
     }
     return s!
   }
 
   const getBrushStyle = (_x: number, _y: number) => {
-    const curScale = scale
+    const curScale = getCurScale()
     return {
       width: `${brushSize * curScale}px`,
       height: `${brushSize * curScale}px`,
@@ -1435,7 +1379,7 @@ export default function Editor(props: EditorProps) {
   const renderInteractiveSegCursor = () => {
     return (
       <div
-        className="interactive-seg-cursor"
+        className="absolute h-[20px] w-[20px] pointer-events-none rounded-[50%] bg-[rgba(21,_215,_121,_0.936)] [box-shadow:0_0_0_0_rgba(21,_215,_121,_0.936)] animate-pulse"
         style={{
           left: `${x}px`,
           top: `${y}px`,
@@ -1475,7 +1419,9 @@ export default function Editor(props: EditorProps) {
         }}
       >
         <TransformComponent
-          contentClass={isProcessing ? "pointer-events-none" : ""}
+          contentClass={
+            isProcessing ? "pointer-events-none animate-pulse duration-700" : ""
+          }
           contentStyle={{
             visibility: initialCentered ? "visible" : "hidden",
           }}
@@ -1486,7 +1432,7 @@ export default function Editor(props: EditorProps) {
               style={{
                 cursor: getCursor(),
                 clipPath: `inset(0 ${sliderPos}% 0 0)`,
-                transition: "clip-path 300ms cubic-bezier(0.4, 0, 0.2, 1)",
+                transition: `clip-path ${COMPARE_SLIDER_DURATION_MS}ms`,
               }}
               onContextMenu={(e) => {
                 e.preventDefault()
@@ -1519,9 +1465,10 @@ export default function Editor(props: EditorProps) {
               {showOriginal && (
                 <>
                   <div
-                    className="[grid-area:original-image-content] h-full w-[6px] justify-self-end [transition:all_300ms_cubic-bezier(0.4,_0,_0.2,_1)]"
+                    className="[grid-area:original-image-content] z-10 bg-primary h-full w-[6px] justify-self-end"
                     style={{
                       marginRight: `${sliderPos}%`,
+                      transition: `margin-right ${COMPARE_SLIDER_DURATION_MS}ms`,
                     }}
                   />
                   <img
@@ -1543,12 +1490,12 @@ export default function Editor(props: EditorProps) {
             maxWidth={imageWidth}
             minHeight={Math.min(256, imageHeight)}
             minWidth={Math.min(256, imageWidth)}
-            scale={scale}
+            scale={getCurScale()}
+            // show={settings.showCroper}
             show={true}
-            // show={isDiffusionModels && settings.showCroper}
           />
 
-          {/* {isInteractiveSeg ? <InteractiveSeg /> : <></>} */}
+          {/* {interactiveSegState.isInteractiveSeg ? <InteractiveSeg /> : <></>} */}
         </TransformComponent>
       </TransformWrapper>
     )
@@ -1558,7 +1505,7 @@ export default function Editor(props: EditorProps) {
     setInteractiveSegMask(tmpInteractiveSegMask)
     setTmpInteractiveSegMask(null)
 
-    if (!runMannually && tmpInteractiveSegMask) {
+    if (!enableManualInpainting && tmpInteractiveSegMask) {
       runInpainting(false, undefined, tmpInteractiveSegMask)
     }
   }
@@ -1570,16 +1517,12 @@ export default function Editor(props: EditorProps) {
       onMouseMove={onMouseMove}
       onMouseUp={onPointerUp}
     >
-      {/* <InteractiveSegConfirmActions
-        onAcceptClick={onInteractiveAccept}
-        onCancelClick={onInteractiveCancel}
-      /> */}
       {renderCanvas()}
 
       {showBrush &&
         !isInpainting &&
         !isPanning &&
-        (isInteractiveSeg
+        (interactiveSegState.isInteractiveSeg
           ? renderInteractiveSegCursor()
           : renderBrush(
               getBrushStyle(
@@ -1590,20 +1533,21 @@ export default function Editor(props: EditorProps) {
 
       {showRefBrush && renderBrush(getBrushStyle(windowCenterX, windowCenterY))}
 
-      <div className="fixed flex bottom-10 border px-4 py-2 rounded-[3rem] gap-8 items-center justify-center backdrop-filter backdrop-blur-md">
+      <div className="fixed flex bottom-5 border px-4 py-2 rounded-[3rem] gap-8 items-center justify-center backdrop-filter backdrop-blur-md bg-background/50">
         <Slider
           className="w-48"
           defaultValue={[50]}
           min={MIN_BRUSH_SIZE}
           max={MAX_BRUSH_SIZE}
           step={1}
+          tabIndex={-1}
           value={[baseBrushSize]}
           onValueChange={(vals) => handleSliderChange(vals[0])}
           onClick={() => setShowRefBrush(false)}
         />
         <div className="flex gap-2">
           <IconButton
-            tooltip="Reset Zoom & Pan"
+            tooltip="Reset zoom & pan"
             disabled={scale === minScale && panned === false}
             onClick={resetZoom}
           >
@@ -1616,23 +1560,26 @@ export default function Editor(props: EditorProps) {
             <Redo />
           </IconButton>
           <IconButton
-            tooltip="Show Original"
+            tooltip="Show original image"
-            className={showOriginal ? "eyeicon-active" : ""}
+            onPointerDown={(ev) => {
-            // onDown={(ev) => {
+              ev.preventDefault()
-            //   ev.preventDefault()
+              setShowOriginal(() => {
-            //   setShowOriginal(() => {
+                window.setTimeout(() => {
-            //     window.setTimeout(() => {
+                  setSliderPos(100)
-            //       setSliderPos(100)
+                }, 10)
-            //     }, 10)
+                return true
-            //     return true
+              })
-            //   })
+            }}
-            // }}
+            onPointerUp={() => {
-            // onUp={() => {
+              window.setTimeout(() => {
-            //   setSliderPos(0)
+                // 防止快速点击 show original image 按钮时图片消失
-            //   window.setTimeout(() => {
+                setSliderPos(0)
-            //     setShowOriginal(false)
+              }, 10)
-            //   }, 300)
+
-            // }}
+              window.setTimeout(() => {
+                setShowOriginal(false)
+              }, COMPARE_SLIDER_DURATION_MS)
+            }}
             disabled={renders.length === 0}
           >
             <Eye />
@@ -1645,6 +1592,7 @@ export default function Editor(props: EditorProps) {
             <Download />
           </IconButton>
 
+          {settings.enableManualInpainting ? (
             <IconButton
               tooltip="Run Inpainting"
               disabled={
@@ -1658,23 +1606,11 @@ export default function Editor(props: EditorProps) {
             >
               <Eraser />
             </IconButton>
+          ) : (
+            <></>
+          )}
         </div>
       </div>
-      {/* <InteractiveSegReplaceModal
-        show={showInteractiveSegModal}
-        onClose={() => {
-          onInteractiveCancel()
-          setShowInteractiveSegModal(false)
-        }}
-        onCleanClick={() => {
-          onInteractiveCancel()
-          setInteractiveSegMask(null)
-        }}
-        onReplaceClick={() => {
-          setShowInteractiveSegModal(false)
-          setIsInteractiveSeg(true)
-        }}
-      /> */}
     </div>
   )
 }

web_app/src/components/FileManager.tsx

@@ -74,18 +74,9 @@ export default function FileManager(props: Props) {
   const { onPhotoClick, photoWidth } = props
   const [open, toggleOpen] = useToggle(false)
 
-  const [
+  const [fileManagerState, updateFileManagerState] = useStore((state) => [
-    fileManagerState,
-    setFileManagerLayout,
-    setFileManagerSortBy,
-    setFileManagerSortOrder,
-    setFileManagerSearchText,
-  ] = useStore((state) => [
     state.fileManagerState,
-    state.setFileManagerLayout,
+    state.updateFileManagerState,
-    state.setFileManagerSortBy,
-    state.setFileManagerSortOrder,
-    state.setFileManagerSearchText,
   ])
 
   useHotkeys("f", () => {
@@ -185,7 +176,7 @@ export default function FileManager(props: Props) {
           <IconButton
             tooltip="Rows layout"
             onClick={() => {
-              setFileManagerLayout("rows")
+              updateFileManagerState({ layout: "rows" })
             }}
           >
             <ViewHorizontalIcon
@@ -195,7 +186,7 @@ export default function FileManager(props: Props) {
           <IconButton
             tooltip="Grid layout"
             onClick={() => {
-              setFileManagerLayout("masonry")
+              updateFileManagerState({ layout: "masonry" })
             }}
           >
             <ViewGridIcon
@@ -230,7 +221,7 @@ export default function FileManager(props: Props) {
                 evt.preventDefault()
                 evt.stopPropagation()
                 const target = evt.target as HTMLInputElement
-                setFileManagerSearchText(target.value)
+                updateFileManagerState({ searchText: target.value })
               }}
               placeholder="Search by file name"
             />
@@ -250,13 +241,13 @@ export default function FileManager(props: Props) {
                 onValueChange={(val) => {
                   switch (val) {
                     case SORT_BY_NAME:
-                      setFileManagerSortBy(SortBy.NAME)
+                      updateFileManagerState({ sortBy: SortBy.NAME })
                       break
                     case SORT_BY_CREATED_TIME:
-                      setFileManagerSortBy(SortBy.CTIME)
+                      updateFileManagerState({ sortBy: SortBy.CTIME })
                       break
                     case SORT_BY_MODIFIED_TIME:
-                      setFileManagerSortBy(SortBy.MTIME)
+                      updateFileManagerState({ sortBy: SortBy.MTIME })
                       break
                     default:
                       break
@@ -281,7 +272,7 @@ export default function FileManager(props: Props) {
                 <IconButton
                   tooltip="Descending Order"
                   onClick={() => {
-                    setFileManagerSortOrder(SortOrder.ASCENDING)
+                    updateFileManagerState({ sortOrder: SortOrder.ASCENDING })
                   }}
                 >
                   <BarsArrowDownIcon />
@@ -290,7 +281,7 @@ export default function FileManager(props: Props) {
                 <IconButton
                   tooltip="Ascending Order"
                   onClick={() => {
-                    setFileManagerSortOrder(SortOrder.DESCENDING)
+                    updateFileManagerState({ sortOrder: SortOrder.DESCENDING })
                   }}
                 >
                   <BarsArrowUpIcon />

web_app/src/components/Header.tsx

@@ -1,19 +1,8 @@
 import { PlayIcon } from "@radix-ui/react-icons"
-import React, { useCallback, useState } from "react"
+import { useCallback, useState } from "react"
-import { useRecoilState, useRecoilValue } from "recoil"
 import { useHotkeys } from "react-hotkeys-hook"
-import {
-  enableFileManagerState,
-  isPix2PixState,
-  isSDState,
-  maskState,
-  runManuallyState,
-} from "@/lib/store"
 import { IconButton, ImageUploadButton } from "@/components/ui/button"
 import Shortcuts from "@/components/Shortcuts"
-// import SettingIcon from "../Settings/SettingIcon"
-// import PromptInput from "./PromptInput"
-// import CoffeeIcon from '../CoffeeIcon/CoffeeIcon'
 import emitter, {
   DREAM_BUTTON_MOUSE_ENTER,
   DREAM_BUTTON_MOUSE_LEAVE,
@@ -24,24 +13,37 @@ import { useImage } from "@/hooks/useImage"
 
 import { Popover, PopoverContent, PopoverTrigger } from "./ui/popover"
 import PromptInput from "./PromptInput"
-import { RotateCw, Image } from "lucide-react"
+import { RotateCw, Image, Upload } from "lucide-react"
 import FileManager from "./FileManager"
 import { getMediaFile } from "@/lib/api"
 import { useStore } from "@/lib/states"
+import SettingsDialog from "./Settings"
+import { cn } from "@/lib/utils"
 
 const Header = () => {
-  const [file, isInpainting, setFile] = useStore((state) => [
+  const [
+    file,
+    customMask,
+    isInpainting,
+    enableFileManager,
+    enableManualInpainting,
+    enableUploadMask,
+    shouldShowPromptInput,
+    setFile,
+    setCustomFile,
+  ] = useStore((state) => [
     state.file,
+    state.customMask,
     state.isInpainting,
+    state.serverConfig.enableFileManager,
+    state.settings.enableManualInpainting,
+    state.settings.enableUploadMask,
+    state.shouldShowPromptInput(),
     state.setFile,
+    state.setCustomFile,
   ])
-  const [mask, setMask] = useRecoilState(maskState)
+  const [maskImage, maskImageLoaded] = useImage(customMask)
-  // const [maskImage, maskImageLoaded] = useImage(mask)
-  const isSD = useRecoilValue(isSDState)
-  const isPix2Pix = useRecoilValue(isPix2PixState)
-  const runManually = useRecoilValue(runManuallyState)
   const [openMaskPopover, setOpenMaskPopover] = useState(false)
-  const enableFileManager = useRecoilValue(enableFileManagerState)
 
   const handleRerunLastMask = useCallback(() => {
     emitter.emit(RERUN_LAST_MASK)
@@ -68,7 +70,7 @@ const Header = () => {
 
   return (
     <header className="h-[60px] px-6 py-4 absolute top-[0] flex justify-between items-center w-full z-20 backdrop-filter backdrop-blur-md border-b">
-      <div className="flex items-center">
+      <div className="flex items-center gap-1">
         {enableFileManager ? (
           <FileManager
             photoWidth={512}
@@ -92,38 +94,37 @@ const Header = () => {
         </ImageUploadButton>
 
         <div
-          className="flex items-center"
+          className={cn([
-          style={{
+            "flex items-center gap-1",
-            visibility: file ? "visible" : "hidden",
+            file && enableUploadMask ? "visible" : "hidden",
-          }}
+          ])}
         >
           <ImageUploadButton
             disabled={isInpainting}
             tooltip="Upload custom mask"
             onFileUpload={(file) => {
-              setMask(file)
+              setCustomFile(file)
-              console.info("Send custom mask")
+              if (!enableManualInpainting) {
-              if (!runManually) {
                 emitter.emit(EVENT_CUSTOM_MASK, { mask: file })
               }
             }}
           >
-            <div>M</div>
+            <Upload />
           </ImageUploadButton>
 
-          {mask ? (
+          {customMask ? (
             <Popover open={openMaskPopover}>
               <PopoverTrigger
                 className="btn-primary side-panel-trigger"
                 onMouseEnter={() => setOpenMaskPopover(true)}
                 onMouseLeave={() => setOpenMaskPopover(false)}
                 style={{
-                  visibility: mask ? "visible" : "hidden",
+                  visibility: customMask ? "visible" : "hidden",
                   outline: "none",
                 }}
                 onClick={() => {
-                  if (mask) {
+                  if (customMask) {
-                    emitter.emit(EVENT_CUSTOM_MASK, { mask })
+                    emitter.emit(EVENT_CUSTOM_MASK, { mask: customMask })
                   }
                 }}
               >
@@ -131,17 +132,18 @@ const Header = () => {
                   <PlayIcon />
                 </IconButton>
               </PopoverTrigger>
-              {/* <PopoverContent>
+              <PopoverContent>
                 {maskImageLoaded ? (
                   <img src={maskImage.src} alt="Custom mask" />
                 ) : (
                   <></>
                 )}
-              </PopoverContent> */}
+              </PopoverContent>
             </Popover>
           ) : (
             <></>
           )}
+        </div>
 
         <IconButton
           disabled={isInpainting}
@@ -150,17 +152,16 @@ const Header = () => {
           onMouseEnter={onRerunMouseEnter}
           onMouseLeave={onRerunMouseLeave}
         >
-            <RotateCw />
+          <RotateCw className={file ? "visible" : "hidden"} />
         </IconButton>
       </div>
-      </div>
 
-      {isSD ? <PromptInput /> : <></>}
+      {shouldShowPromptInput ? <PromptInput /> : <></>}
 
+      <div className="flex gap-1">
         {/* <CoffeeIcon /> */}
-      <div>
         <Shortcuts />
-        {/* <SettingIcon /> */}
+        <SettingsDialog />
       </div>
     </header>
   )

web_app/src/components/ImageSize.tsx

@@ -11,7 +11,7 @@ const ImageSize = () => {
   }
 
   return (
-    <div className="border rounded-lg px-2 py-[6px] z-10">
+    <div className="border rounded-lg px-2 py-[6px] z-10 bg-background">
       {imageWidth}x{imageHeight}
     </div>
   )

web_app/src/components/InteractiveSeg.tsx

@@ -0,0 +1,136 @@
+import { useStore } from "@/lib/states"
+import { Button } from "./ui/button"
+import { Dialog, DialogContent, DialogTitle } from "./ui/dialog"
+import { MousePointerClick } from "lucide-react"
+import { DropdownMenuItem } from "./ui/dropdown-menu"
+
+interface InteractiveSegReplaceModal {
+  show: boolean
+  onClose: () => void
+  onCleanClick: () => void
+  onReplaceClick: () => void
+}
+
+const InteractiveSegReplaceModal = (props: InteractiveSegReplaceModal) => {
+  const { show, onClose, onCleanClick, onReplaceClick } = props
+
+  const onOpenChange = (open: boolean) => {
+    if (!open) {
+      onClose()
+    }
+  }
+
+  return (
+    <Dialog open={show} onOpenChange={onOpenChange}>
+      <DialogContent>
+        <DialogTitle>Do you want to remove it or create a new one?</DialogTitle>
+        <div className="flex gap-[12px] w-full justify-end items-center">
+          <Button
+            onClick={() => {
+              onClose()
+              onCleanClick()
+            }}
+          >
+            Remove
+          </Button>
+          <Button onClick={onReplaceClick}>Create new</Button>
+        </div>
+      </DialogContent>
+    </Dialog>
+  )
+}
+
+const InteractiveSegConfirmActions = () => {
+  const [interactiveSegState, resetInteractiveSegState] = useStore((state) => [
+    state.interactiveSegState,
+    state.resetInteractiveSegState,
+  ])
+
+  if (!interactiveSegState.isInteractiveSeg) {
+    return null
+  }
+
+  const onAcceptClick = () => {
+    resetInteractiveSegState()
+  }
+
+  return (
+    <div className="z-10 absolute top-[68px] rounded-xl border-solid border p-[8px] left-1/2 translate-x-[-50%] flex justify-center items-center gap-[8px] bg-background">
+      <Button
+        onClick={() => {
+          resetInteractiveSegState()
+        }}
+        size="sm"
+        variant="secondary"
+      >
+        Cancel
+      </Button>
+      <Button
+        size="sm"
+        onClick={() => {
+          onAcceptClick()
+        }}
+      >
+        Accept
+      </Button>
+    </div>
+  )
+}
+
+interface ItemProps {
+  x: number
+  y: number
+  positive: boolean
+}
+
+const Item = (props: ItemProps) => {
+  const { x, y, positive } = props
+  const name = positive
+    ? "bg-[rgba(21,_215,_121,_0.936)] outline-[6px_solid_rgba(98,_255,_179,_0.31)]"
+    : "bg-[rgba(237,_49,_55,_0.942)] outline-[6px_solid_rgba(255,_89,_95,_0.31)]"
+  return (
+    <div
+      className={`absolute h-[8px] w-[8px] rounded-[50%] ${name}`}
+      style={{
+        left: x,
+        top: y,
+        transform: "translate(-50%, -50%)",
+      }}
+    />
+  )
+}
+
+const InteractiveSegPoints = () => {
+  const clicks = useStore((state) => state.interactiveSegState.clicks)
+
+  return (
+    <div className="absolute h-full w-full overflow-hidden pointer-events-none">
+      {clicks.map((click) => {
+        return (
+          <Item
+            key={click[3]}
+            x={click[0]}
+            y={click[1]}
+            positive={click[2] === 1}
+          />
+        )
+      })}
+    </div>
+  )
+}
+
+const InteractiveSeg = () => {
+  const [interactiveSegState, updateInteractiveSegState] = useStore((state) => [
+    state.interactiveSegState,
+    state.updateInteractiveSegState,
+  ])
+
+  return (
+    <div>
+      <InteractiveSegConfirmActions />
+      {/* <InteractiveSegReplaceModal /> */}
+    </div>
+  )
+}
+
+export { InteractiveSeg, InteractiveSegPoints }

web_app/src/components/Plugins.tsx

@@ -10,6 +10,8 @@ import {
 import { Button } from "./ui/button"
 import { Fullscreen, MousePointerClick, Slice, Smile } from "lucide-react"
 import { MixIcon } from "@radix-ui/react-icons"
+import { useStore } from "@/lib/states"
+import { InteractiveSeg } from "./InteractiveSeg"
 
 export enum PluginName {
   RemoveBG = "RemoveBG",
@@ -48,17 +50,10 @@ const pluginMap = {
 }
 
 const Plugins = () => {
-  // const [open, toggleOpen] = useToggle(true)
+  const [plugins, updateInteractiveSegState] = useStore((state) => [
-  // const serverConfig = useRecoilValue(serverConfigState)
+    state.serverConfig.plugins,
-  // const isProcessing = useRecoilValue(isProcessingState)
+    state.updateInteractiveSegState,
-  const plugins = [
+  ])
-    PluginName.RemoveBG,
-    PluginName.AnimeSeg,
-    PluginName.RealESRGAN,
-    PluginName.GFPGAN,
-    PluginName.RestoreFormer,
-    PluginName.InteractiveSeg,
-  ]
 
   if (plugins.length === 0) {
     return null
@@ -68,6 +63,9 @@ const Plugins = () => {
     // if (!disabled) {
     //   emitter.emit(pluginName)
     // }
+    if (pluginName === PluginName.InteractiveSeg) {
+      updateInteractiveSegState({ isInteractiveSeg: true })
+    }
   }
 
   const onRealESRGANClick = (upscale: number) => {
@@ -98,8 +96,8 @@ const Plugins = () => {
   }
 
   const renderPlugins = () => {
-    return plugins.map((plugin: PluginName) => {
+    return plugins.map((plugin: string) => {
-      const { IconClass, showName } = pluginMap[plugin]
+      const { IconClass, showName } = pluginMap[plugin as PluginName]
       if (plugin === PluginName.RealESRGAN) {
         return renderRealESRGANPlugin()
       }
@@ -116,7 +114,10 @@ const Plugins = () => {
 
   return (
     <DropdownMenu modal={false}>
-      <DropdownMenuTrigger className="border rounded-lg z-10">
+      <DropdownMenuTrigger
+        className="border rounded-lg z-10 bg-background"
+        tabIndex={-1}
+      >
         <Button variant="ghost" size="icon" asChild>
           <MixIcon className="p-2" />
         </Button>

web_app/src/components/PromptInput.tsx

@@ -9,17 +9,17 @@ import { Input } from "./ui/input"
 import { useStore } from "@/lib/states"
 
 const PromptInput = () => {
-  const [isInpainting, prompt, setPrompt] = useStore((state) => [
+  const [isInpainting, prompt, updateSettings] = useStore((state) => [
     state.isInpainting,
-    state.prompt,
+    state.settings.prompt,
-    state.setPrompt,
+    state.updateSettings,
   ])
 
   const handleOnInput = (evt: FormEvent<HTMLInputElement>) => {
     evt.preventDefault()
     evt.stopPropagation()
     const target = evt.target as HTMLInputElement
-    setPrompt(target.value)
+    updateSettings({ prompt: target.value })
   }
 
   const handleRepaintClick = () => {

web_app/src/components/Settings.tsx

@@ -0,0 +1,435 @@
+import { IconButton } from "@/components/ui/button"
+import { useToggle } from "@uidotdev/usehooks"
+import { Dialog, DialogContent, DialogTitle, DialogTrigger } from "./ui/dialog"
+import { useHotkeys } from "react-hotkeys-hook"
+import { Info, Settings } from "lucide-react"
+import { zodResolver } from "@hookform/resolvers/zod"
+import { useForm } from "react-hook-form"
+import * as z from "zod"
+import { Button } from "@/components/ui/button"
+import { Separator } from "@/components/ui/separator"
+import {
+  Form,
+  FormControl,
+  FormDescription,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form"
+import { Input } from "@/components/ui/input"
+import { Switch } from "./ui/switch"
+import { Tabs, TabsContent, TabsList, TabsTrigger } from "./ui/tabs"
+import { useState } from "react"
+import { cn } from "@/lib/utils"
+import { useQuery } from "@tanstack/react-query"
+import { fetchModelInfos, switchModel } from "@/lib/api"
+import { ModelInfo } from "@/lib/types"
+import { useStore } from "@/lib/states"
+import { ScrollArea } from "./ui/scroll-area"
+import { useToast } from "./ui/use-toast"
+import {
+  AlertDialog,
+  AlertDialogContent,
+  AlertDialogDescription,
+  AlertDialogHeader,
+} from "./ui/alert-dialog"
+
+const formSchema = z.object({
+  enableFileManager: z.boolean(),
+  inputDirectory: z.string().refine(async (id) => {
+    // verify that ID exists in database
+    return true
+  }),
+  outputDirectory: z.string().refine(async (id) => {
+    // verify that ID exists in database
+    return true
+  }),
+  enableDownloadMask: z.boolean(),
+  enableManualInpainting: z.boolean(),
+  enableUploadMask: z.boolean(),
+})
+
+const TAB_GENERAL = "General"
+const TAB_MODEL = "Model"
+const TAB_FILE_MANAGER = "File Manager"
+
+const TAB_NAMES = [TAB_MODEL, TAB_GENERAL]
+
+export function SettingsDialog() {
+  const [open, toggleOpen] = useToggle(false)
+  const [openModelSwitching, toggleOpenModelSwitching] = useToggle(false)
+  const [tab, setTab] = useState(TAB_GENERAL)
+  const [settings, updateSettings, fileManagerState, updateFileManagerState] =
+    useStore((state) => [
+      state.settings,
+      state.updateSettings,
+      state.fileManagerState,
+      state.updateFileManagerState,
+    ])
+  const { toast } = useToast()
+  const [model, setModel] = useState<ModelInfo>(settings.model)
+
+  const { data: modelInfos, isSuccess } = useQuery({
+    queryKey: ["modelInfos"],
+    queryFn: fetchModelInfos,
+  })
+
+  // 1. Define your form.
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+    defaultValues: {
+      enableDownloadMask: settings.enableDownloadMask,
+      enableManualInpainting: settings.enableManualInpainting,
+      enableUploadMask: settings.enableUploadMask,
+      enableFileManager: fileManagerState.enabled,
+      inputDirectory: fileManagerState.inputDirectory,
+      outputDirectory: fileManagerState.outputDirectory,
+    },
+  })
+
+  function onSubmit(values: z.infer<typeof formSchema>) {
+    // Do something with the form values. ✅ This will be type-safe and validated.
+    updateSettings({
+      enableDownloadMask: values.enableDownloadMask,
+      enableManualInpainting: values.enableManualInpainting,
+      enableUploadMask: values.enableUploadMask,
+    })
+
+    // TODO: validate input/output Directory
+    updateFileManagerState({
+      enabled: values.enableFileManager,
+      inputDirectory: values.inputDirectory,
+      outputDirectory: values.outputDirectory,
+    })
+
+    if (model.name !== settings.model.name) {
+      toggleOpenModelSwitching()
+      switchModel(model.name)
+        .then((res) => {
+          if (res.ok) {
+            toast({
+              title: `Switch to ${model.name} success`,
+            })
+            updateSettings({ model: model })
+          } else {
+            throw new Error("Server error")
+          }
+        })
+        .catch(() => {
+          toast({
+            variant: "destructive",
+            title: `Switch to ${model.name} failed`,
+          })
+        })
+        .finally(() => {
+          toggleOpenModelSwitching()
+        })
+    }
+  }
+  useHotkeys("s", () => {
+    toggleOpen()
+    form.handleSubmit(onSubmit)()
+  })
+
+  function onOpenChange(value: boolean) {
+    toggleOpen()
+    if (!value) {
+      form.handleSubmit(onSubmit)()
+    }
+  }
+
+  function onModelSelect(info: ModelInfo) {
+    setModel(info)
+  }
+
+  function renderModelList(model_types: string[]) {
+    if (!modelInfos) {
+      return <div>Please download model first</div>
+    }
+    return modelInfos
+      .filter((info) => model_types.includes(info.model_type))
+      .map((info: ModelInfo) => {
+        return (
+          <div key={info.name} onClick={() => onModelSelect(info)}>
+            <div
+              className={cn([
+                info.name === model.name ? "bg-muted " : "hover:bg-muted",
+                "rounded-md px-2 py-1 my-1",
+                "cursor-default",
+              ])}
+            >
+              <div className="text-base max-w-sm">{info.name}</div>
+            </div>
+            <Separator />
+          </div>
+        )
+      })
+  }
+
+  function renderModelSettings() {
+    if (!isSuccess) {
+      return <></>
+    }
+
+    let defaultTab = "inpaint"
+    for (let info of modelInfos) {
+      if (model.name === info.name) {
+        defaultTab = info.model_type
+        break
+      }
+    }
+
+    return (
+      <div className="flex flex-col gap-4">
+        <div className="flex flex-col gap-4 rounded-md">
+          <div>Current Model</div>
+          <div>{model.name}</div>
+        </div>
+
+        <Separator />
+
+        <div className="space-y-4  rounded-md">
+          <div className="flex gap-4 items-center justify-start">
+            <div>Available models</div>
+            <IconButton tooltip="How to download new model" asChild>
+              <Info />
+            </IconButton>
+          </div>
+          <Tabs defaultValue={defaultTab}>
+            <TabsList>
+              <TabsTrigger value="inpaint">Inpaint</TabsTrigger>
+              <TabsTrigger value="diffusers_sd">Diffusion</TabsTrigger>
+              <TabsTrigger value="diffusers_sd_inpaint">
+                Diffusion inpaint
+              </TabsTrigger>
+              <TabsTrigger value="diffusers_other">Diffusion other</TabsTrigger>
+            </TabsList>
+            <ScrollArea className="h-[240px] w-full mt-2">
+              <TabsContent value="inpaint">
+                {renderModelList(["inpaint"])}
+              </TabsContent>
+              <TabsContent value="diffusers_sd">
+                {renderModelList(["diffusers_sd", "diffusers_sdxl"])}
+              </TabsContent>
+              <TabsContent value="diffusers_sd_inpaint">
+                {renderModelList([
+                  "diffusers_sd_inpaint",
+                  "diffusers_sdxl_inpaint",
+                ])}
+              </TabsContent>
+              <TabsContent value="diffusers_other">
+                {renderModelList(["diffusers_other"])}
+              </TabsContent>
+            </ScrollArea>
+          </Tabs>
+        </div>
+      </div>
+    )
+  }
+
+  function renderGeneralSettings() {
+    return (
+      <div className="space-y-4 w-[400px]">
+        <FormField
+          control={form.control}
+          name="enableManualInpainting"
+          render={({ field }) => (
+            <FormItem className="flex items-center justify-between">
+              <div className="space-y-0.5">
+                <FormLabel>Enable manual inpainting</FormLabel>
+                <FormDescription>
+                  Click a button to trigger inpainting after draw mask.
+                </FormDescription>
+              </div>
+              <FormControl>
+                <Switch
+                  checked={field.value}
+                  onCheckedChange={field.onChange}
+                />
+              </FormControl>
+            </FormItem>
+          )}
+        />
+
+        <Separator />
+
+        <FormField
+          control={form.control}
+          name="enableDownloadMask"
+          render={({ field }) => (
+            <FormItem className="flex items-center justify-between">
+              <div className="space-y-0.5">
+                <FormLabel>Enable download mask</FormLabel>
+                <FormDescription>
+                  Also download the mask after save the inpainting result.
+                </FormDescription>
+              </div>
+              <FormControl>
+                <Switch
+                  checked={field.value}
+                  onCheckedChange={field.onChange}
+                />
+              </FormControl>
+            </FormItem>
+          )}
+        />
+
+        <Separator />
+
+        <FormField
+          control={form.control}
+          name="enableUploadMask"
+          render={({ field }) => (
+            <FormItem className="flex tems-center justify-between">
+              <div className="space-y-0.5">
+                <FormLabel>Enable upload mask</FormLabel>
+                <FormDescription>
+                  Enable upload custom mask to perform inpainting.
+                </FormDescription>
+              </div>
+              <FormControl>
+                <Switch
+                  checked={field.value}
+                  onCheckedChange={field.onChange}
+                />
+              </FormControl>
+            </FormItem>
+          )}
+        />
+        <Separator />
+      </div>
+    )
+  }
+
+  function renderFileManagerSettings() {
+    return (
+      <div className="flex flex-col justify-between rounded-lg gap-4 w-[400px]">
+        <FormField
+          control={form.control}
+          name="enableFileManager"
+          render={({ field }) => (
+            <FormItem className="flex items-center justify-between gap-4">
+              <div className="space-y-0.5">
+                <FormLabel>Enable file manger</FormLabel>
+                <FormDescription className="max-w-sm">
+                  Browser images
+                </FormDescription>
+              </div>
+              <FormControl>
+                <Switch
+                  checked={field.value}
+                  onCheckedChange={field.onChange}
+                />
+              </FormControl>
+            </FormItem>
+          )}
+        />
+
+        <Separator />
+
+        <FormField
+          control={form.control}
+          name="inputDirectory"
+          render={({ field }) => (
+            <FormItem>
+              <FormLabel>Input directory</FormLabel>
+              <FormControl>
+                <Input placeholder="" {...field} />
+              </FormControl>
+              <FormDescription>
+                Browser images from this directory.
+              </FormDescription>
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+
+        <FormField
+          control={form.control}
+          name="outputDirectory"
+          render={({ field }) => (
+            <FormItem>
+              <FormLabel>Save directory</FormLabel>
+              <FormControl>
+                <Input placeholder="" {...field} />
+              </FormControl>
+              <FormDescription>
+                Result images will be saved to this directory.
+              </FormDescription>
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+      </div>
+    )
+  }
+
+  return (
+    <>
+      <AlertDialog open={openModelSwitching}>
+        <AlertDialogContent>
+          <AlertDialogHeader>
+            <AlertDialogDescription>
+              TODO: 添加加载动画 Switching to {model.name}
+            </AlertDialogDescription>
+          </AlertDialogHeader>
+        </AlertDialogContent>
+      </AlertDialog>
+      <Dialog open={open} onOpenChange={onOpenChange}>
+        <DialogTrigger asChild>
+          <IconButton tooltip="Settings">
+            <Settings />
+          </IconButton>
+        </DialogTrigger>
+        <DialogContent
+          className="max-w-3xl h-[600px]"
+          // onEscapeKeyDown={(event) => event.preventDefault()}
+          onOpenAutoFocus={(event) => event.preventDefault()}
+          // onPointerDownOutside={(event) => event.preventDefault()}
+        >
+          <DialogTitle>Settings</DialogTitle>
+          <Separator />
+
+          <div className="flex flex-row space-x-8 h-full">
+            <div className="flex flex-col space-y-1">
+              {TAB_NAMES.map((item) => (
+                <Button
+                  key={item}
+                  variant="ghost"
+                  onClick={() => setTab(item)}
+                  className={cn(
+                    tab === item ? "bg-muted " : "hover:bg-muted",
+                    "justify-start"
+                  )}
+                >
+                  {item}
+                </Button>
+              ))}
+            </div>
+            <Separator orientation="vertical" />
+            <Form {...form}>
+              <div className="flex  w-full justify-center">
+                <form onSubmit={form.handleSubmit(onSubmit)}>
+                  {tab === TAB_MODEL ? renderModelSettings() : <></>}
+                  {tab === TAB_GENERAL ? renderGeneralSettings() : <></>}
+                  {/* {tab === TAB_FILE_MANAGER ? (
+                    renderFileManagerSettings()
+                  ) : (
+                    <></>
+                  )} */}
+
+                  {/* <div className=" absolute right-">
+                  <Button type="submit">Ok</Button>
+                </div> */}
+                </form>
+              </div>
+            </Form>
+          </div>
+        </DialogContent>
+      </Dialog>
+    </>
+  )
+}
+
+export default SettingsDialog

web_app/src/components/Workspace.tsx

@@ -1,18 +1,16 @@
 import { useEffect } from "react"
-import { useRecoilState, useRecoilValue, useSetRecoilState } from "recoil"
 import Editor from "./Editor"
-// import SettingModal from "./Settings/SettingsModal"
 import {
   AIModel,
   isPaintByExampleState,
   isPix2PixState,
   isSDState,
-  settingState,
 } from "@/lib/store"
-import { currentModel, modelDownloaded, switchModel } from "@/lib/api"
+import { currentModel } from "@/lib/api"
 import { useStore } from "@/lib/states"
 import ImageSize from "./ImageSize"
 import Plugins from "./Plugins"
+import { InteractiveSeg } from "./InteractiveSeg"
 // import SidePanel from "./SidePanel/SidePanel"
 // import PESidePanel from "./SidePanel/PESidePanel"
 // import P2PSidePanel from "./SidePanel/P2PSidePanel"
@@ -21,73 +19,18 @@ import Plugins from "./Plugins"
 // import ImageSize from "./ImageSize/ImageSize"
 
 const Workspace = () => {
-  const file = useStore((state) => state.file)
+  const [file, updateSettings] = useStore((state) => [
-  const [settings, setSettingState] = useRecoilState(settingState)
+    state.file,
-  const isSD = useRecoilValue(isSDState)
+    state.updateSettings,
-  const isPaintByExample = useRecoilValue(isPaintByExampleState)
+  ])
-  const isPix2Pix = useRecoilValue(isPix2PixState)
-
-  const onSettingClose = async () => {
-    const curModel = await currentModel().then((res) => res.text())
-    if (curModel === settings.model) {
-      return
-    }
-    const downloaded = await modelDownloaded(settings.model).then((res) =>
-      res.text()
-    )
-
-    const { model } = settings
-
-    let loadingMessage = `Switching to ${model} model`
-    let loadingDuration = 3000
-    if (downloaded === "False") {
-      loadingMessage = `Downloading ${model} model, this may take a while`
-      loadingDuration = 9999999999
-    }
-
-    // TODO 修改成 Modal
-    // setToastState({
-    //   open: true,
-    //   desc: loadingMessage,
-    //   state: "loading",
-    //   duration: loadingDuration,
-    // })
-
-    switchModel(model)
-      .then((res) => {
-        if (res.ok) {
-          // setToastState({
-          //   open: true,
-          //   desc: `Switch to ${model} model success`,
-          //   state: "success",
-          //   duration: 3000,
-          // })
-        } else {
-          throw new Error("Server error")
-        }
-      })
-      .catch(() => {
-        // setToastState({
-        //   open: true,
-        //   desc: `Switch to ${model} model failed`,
-        //   state: "error",
-        //   duration: 3000,
-        // })
-        setSettingState((old) => {
-          return { ...old, model: curModel as AIModel }
-        })
-      })
-  }
 
   useEffect(() => {
     currentModel()
-      .then((res) => res.text())
+      .then((res) => res.json())
       .then((model) => {
-        setSettingState((old) => {
+        updateSettings({ model })
-          return { ...old, model: model as AIModel }
       })
-      })
+  }, [])
-  }, [setSettingState])
 
   return (
     <>
@@ -99,6 +42,7 @@ const Workspace = () => {
         <Plugins />
         <ImageSize />
       </div>
+      <InteractiveSeg />
       {file ? <Editor file={file} /> : <></>}
     </>
   )

web_app/src/components/ui/alert-dialog.tsx

@@ -0,0 +1,139 @@
+import * as React from "react"
+import * as AlertDialogPrimitive from "@radix-ui/react-alert-dialog"
+
+import { cn } from "@/lib/utils"
+import { buttonVariants } from "@/components/ui/button"
+
+const AlertDialog = AlertDialogPrimitive.Root
+
+const AlertDialogTrigger = AlertDialogPrimitive.Trigger
+
+const AlertDialogPortal = AlertDialogPrimitive.Portal
+
+const AlertDialogOverlay = React.forwardRef<
+  React.ElementRef<typeof AlertDialogPrimitive.Overlay>,
+  React.ComponentPropsWithoutRef<typeof AlertDialogPrimitive.Overlay>
+>(({ className, ...props }, ref) => (
+  <AlertDialogPrimitive.Overlay
+    className={cn(
+      "fixed inset-0 z-50 bg-background/80 backdrop-blur-sm data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
+      className
+    )}
+    {...props}
+    ref={ref}
+  />
+))
+AlertDialogOverlay.displayName = AlertDialogPrimitive.Overlay.displayName
+
+const AlertDialogContent = React.forwardRef<
+  React.ElementRef<typeof AlertDialogPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof AlertDialogPrimitive.Content>
+>(({ className, ...props }, ref) => (
+  <AlertDialogPortal>
+    <AlertDialogOverlay />
+    <AlertDialogPrimitive.Content
+      ref={ref}
+      className={cn(
+        "fixed left-[50%] top-[50%] z-50 grid w-full max-w-lg translate-x-[-50%] translate-y-[-50%] gap-4 border bg-background p-6 shadow-lg duration-200 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[state=closed]:slide-out-to-left-1/2 data-[state=closed]:slide-out-to-top-[48%] data-[state=open]:slide-in-from-left-1/2 data-[state=open]:slide-in-from-top-[48%] sm:rounded-lg",
+        className
+      )}
+      {...props}
+    />
+  </AlertDialogPortal>
+))
+AlertDialogContent.displayName = AlertDialogPrimitive.Content.displayName
+
+const AlertDialogHeader = ({
+  className,
+  ...props
+}: React.HTMLAttributes<HTMLDivElement>) => (
+  <div
+    className={cn(
+      "flex flex-col space-y-2 text-center sm:text-left",
+      className
+    )}
+    {...props}
+  />
+)
+AlertDialogHeader.displayName = "AlertDialogHeader"
+
+const AlertDialogFooter = ({
+  className,
+  ...props
+}: React.HTMLAttributes<HTMLDivElement>) => (
+  <div
+    className={cn(
+      "flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
+      className
+    )}
+    {...props}
+  />
+)
+AlertDialogFooter.displayName = "AlertDialogFooter"
+
+const AlertDialogTitle = React.forwardRef<
+  React.ElementRef<typeof AlertDialogPrimitive.Title>,
+  React.ComponentPropsWithoutRef<typeof AlertDialogPrimitive.Title>
+>(({ className, ...props }, ref) => (
+  <AlertDialogPrimitive.Title
+    ref={ref}
+    className={cn("text-lg font-semibold", className)}
+    {...props}
+  />
+))
+AlertDialogTitle.displayName = AlertDialogPrimitive.Title.displayName
+
+const AlertDialogDescription = React.forwardRef<
+  React.ElementRef<typeof AlertDialogPrimitive.Description>,
+  React.ComponentPropsWithoutRef<typeof AlertDialogPrimitive.Description>
+>(({ className, ...props }, ref) => (
+  <AlertDialogPrimitive.Description
+    ref={ref}
+    className={cn("text-sm text-muted-foreground", className)}
+    {...props}
+  />
+))
+AlertDialogDescription.displayName =
+  AlertDialogPrimitive.Description.displayName
+
+const AlertDialogAction = React.forwardRef<
+  React.ElementRef<typeof AlertDialogPrimitive.Action>,
+  React.ComponentPropsWithoutRef<typeof AlertDialogPrimitive.Action>
+>(({ className, ...props }, ref) => (
+  <AlertDialogPrimitive.Action
+    ref={ref}
+    className={cn(buttonVariants(), className)}
+    {...props}
+  />
+))
+AlertDialogAction.displayName = AlertDialogPrimitive.Action.displayName
+
+const AlertDialogCancel = React.forwardRef<
+  React.ElementRef<typeof AlertDialogPrimitive.Cancel>,
+  React.ComponentPropsWithoutRef<typeof AlertDialogPrimitive.Cancel>
+>(({ className, ...props }, ref) => (
+  <AlertDialogPrimitive.Cancel
+    ref={ref}
+    className={cn(
+      buttonVariants({ variant: "outline" }),
+      "mt-2 sm:mt-0",
+      className
+    )}
+    {...props}
+  />
+))
+AlertDialogCancel.displayName = AlertDialogPrimitive.Cancel.displayName
+
+export {
+  AlertDialog,
+  AlertDialogPortal,
+  AlertDialogOverlay,
+  AlertDialogTrigger,
+  AlertDialogContent,
+  AlertDialogHeader,
+  AlertDialogFooter,
+  AlertDialogTitle,
+  AlertDialogDescription,
+  AlertDialogAction,
+  AlertDialogCancel,
+}

web_app/src/components/ui/button.tsx

@@ -78,7 +78,7 @@ const IconButton = React.forwardRef<HTMLButtonElement, IconButtonProps>(
                 {...rest}
                 ref={ref}
                 tabIndex={-1}
-                className="cursor-default"
+                className="cursor-default bg-background"
               >
                 <div className="icon-button-icon-wrapper">{children}</div>
               </Button>

web_app/src/components/ui/dialog.tsx

@@ -87,7 +87,7 @@ const DialogTitle = React.forwardRef<
   <DialogPrimitive.Title
     ref={ref}
     className={cn(
-      "text-lg font-semibold leading-none tracking-tight",
+      "text-2xl font-semibold leading-none tracking-tight",
       className
     )}
     {...props}

web_app/src/components/ui/form.tsx

@@ -0,0 +1,176 @@
+import * as React from "react"
+import * as LabelPrimitive from "@radix-ui/react-label"
+import { Slot } from "@radix-ui/react-slot"
+import {
+  Controller,
+  ControllerProps,
+  FieldPath,
+  FieldValues,
+  FormProvider,
+  useFormContext,
+} from "react-hook-form"
+
+import { cn } from "@/lib/utils"
+import { Label } from "@/components/ui/label"
+
+const Form = FormProvider
+
+type FormFieldContextValue<
+  TFieldValues extends FieldValues = FieldValues,
+  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>
+> = {
+  name: TName
+}
+
+const FormFieldContext = React.createContext<FormFieldContextValue>(
+  {} as FormFieldContextValue
+)
+
+const FormField = <
+  TFieldValues extends FieldValues = FieldValues,
+  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>
+>({
+  ...props
+}: ControllerProps<TFieldValues, TName>) => {
+  return (
+    <FormFieldContext.Provider value={{ name: props.name }}>
+      <Controller {...props} />
+    </FormFieldContext.Provider>
+  )
+}
+
+const useFormField = () => {
+  const fieldContext = React.useContext(FormFieldContext)
+  const itemContext = React.useContext(FormItemContext)
+  const { getFieldState, formState } = useFormContext()
+
+  const fieldState = getFieldState(fieldContext.name, formState)
+
+  if (!fieldContext) {
+    throw new Error("useFormField should be used within <FormField>")
+  }
+
+  const { id } = itemContext
+
+  return {
+    id,
+    name: fieldContext.name,
+    formItemId: `${id}-form-item`,
+    formDescriptionId: `${id}-form-item-description`,
+    formMessageId: `${id}-form-item-message`,
+    ...fieldState,
+  }
+}
+
+type FormItemContextValue = {
+  id: string
+}
+
+const FormItemContext = React.createContext<FormItemContextValue>(
+  {} as FormItemContextValue
+)
+
+const FormItem = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => {
+  const id = React.useId()
+
+  return (
+    <FormItemContext.Provider value={{ id }}>
+      <div ref={ref} className={cn("space-y-2", className)} {...props} />
+    </FormItemContext.Provider>
+  )
+})
+FormItem.displayName = "FormItem"
+
+const FormLabel = React.forwardRef<
+  React.ElementRef<typeof LabelPrimitive.Root>,
+  React.ComponentPropsWithoutRef<typeof LabelPrimitive.Root>
+>(({ className, ...props }, ref) => {
+  const { error, formItemId } = useFormField()
+
+  return (
+    <Label
+      ref={ref}
+      className={cn(error && "text-destructive", "text-sm", className)}
+      htmlFor={formItemId}
+      {...props}
+    />
+  )
+})
+FormLabel.displayName = "FormLabel"
+
+const FormControl = React.forwardRef<
+  React.ElementRef<typeof Slot>,
+  React.ComponentPropsWithoutRef<typeof Slot>
+>(({ ...props }, ref) => {
+  const { error, formItemId, formDescriptionId, formMessageId } = useFormField()
+
+  return (
+    <Slot
+      ref={ref}
+      id={formItemId}
+      aria-describedby={
+        !error
+          ? `${formDescriptionId}`
+          : `${formDescriptionId} ${formMessageId}`
+      }
+      aria-invalid={!!error}
+      {...props}
+    />
+  )
+})
+FormControl.displayName = "FormControl"
+
+const FormDescription = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, ...props }, ref) => {
+  const { formDescriptionId } = useFormField()
+
+  return (
+    <p
+      ref={ref}
+      id={formDescriptionId}
+      className={cn("text-[0.8rem] text-muted-foreground", className)}
+      {...props}
+    />
+  )
+})
+FormDescription.displayName = "FormDescription"
+
+const FormMessage = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, children, ...props }, ref) => {
+  const { error, formMessageId } = useFormField()
+  const body = error ? String(error?.message) : children
+
+  if (!body) {
+    return null
+  }
+
+  return (
+    <p
+      ref={ref}
+      id={formMessageId}
+      className={cn("text-[0.8rem] font-medium text-destructive", className)}
+      {...props}
+    >
+      {body}
+    </p>
+  )
+})
+FormMessage.displayName = "FormMessage"
+
+export {
+  useFormField,
+  Form,
+  FormItem,
+  FormLabel,
+  FormControl,
+  FormDescription,
+  FormMessage,
+  FormField,
+}

web_app/src/components/ui/separator.tsx

@@ -0,0 +1,29 @@
+import * as React from "react"
+import * as SeparatorPrimitive from "@radix-ui/react-separator"
+
+import { cn } from "@/lib/utils"
+
+const Separator = React.forwardRef<
+  React.ElementRef<typeof SeparatorPrimitive.Root>,
+  React.ComponentPropsWithoutRef<typeof SeparatorPrimitive.Root>
+>(
+  (
+    { className, orientation = "horizontal", decorative = true, ...props },
+    ref
+  ) => (
+    <SeparatorPrimitive.Root
+      ref={ref}
+      decorative={decorative}
+      orientation={orientation}
+      className={cn(
+        "shrink-0 bg-border",
+        orientation === "horizontal" ? "h-[1px] w-full" : "h-full w-[1px]",
+        className
+      )}
+      {...props}
+    />
+  )
+)
+Separator.displayName = SeparatorPrimitive.Root.displayName
+
+export { Separator }

web_app/src/components/ui/slider.tsx

@@ -18,7 +18,10 @@ const Slider = React.forwardRef<
     <SliderPrimitive.Track className="relative h-1.5 w-full grow overflow-hidden rounded-full bg-primary/20">
       <SliderPrimitive.Range className="absolute h-full bg-primary" />
     </SliderPrimitive.Track>
-    <SliderPrimitive.Thumb className="block h-4 w-4 rounded-full border border-primary/50 bg-background shadow transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50" />
+    <SliderPrimitive.Thumb
+      tabIndex={-1}
+      className="block h-4 w-4 rounded-full border border-primary/60 bg-background shadow transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50"
+    />
   </SliderPrimitive.Root>
 ))
 Slider.displayName = SliderPrimitive.Root.displayName

web_app/src/globals.css

@@ -42,7 +42,7 @@
     --popover: 0 0% 100%;
     --popover-foreground: 224 71.4% 4.1%;
  
-    --primary: 220.9 39.3% 11%;
+    --primary: 48 100.0% 50.0%;
     --primary-foreground: 210 20% 98%;
  
     --secondary: 220 14.3% 95.9%;
@@ -74,7 +74,7 @@
     --popover: 224 71.4% 4.1%;
     --popover-foreground: 210 20% 98%;
  
-    --primary: 210 20% 98%;
+    --primary: 48 100.0% 50.0%;
     --primary-foreground: 220.9 39.3% 11%;
  
     --secondary: 215 27.9% 16.9%;

web_app/src/lib/api.ts

@@ -1,18 +1,20 @@
-import { PluginName } from "@/lib/types"
+import { ModelInfo, Rect } from "@/lib/types"
-import { ControlNetMethodMap, Rect, Settings } from "@/lib/store"
+import { Settings } from "@/lib/states"
-import { dataURItoBlob, loadImage, srcToFile } from "@/lib/utils"
+import { dataURItoBlob, srcToFile } from "@/lib/utils"
+import axios from "axios"
 
 export const API_ENDPOINT = import.meta.env.VITE_BACKEND
   ? import.meta.env.VITE_BACKEND
   : ""
 
+const api = axios.create({
+  baseURL: API_ENDPOINT,
+})
+
 export default async function inpaint(
   imageFile: File,
   settings: Settings,
   croperRect: Rect,
-  prompt?: string,
-  negativePrompt?: string,
-  seed?: number,
   maskBase64?: string,
   customMask?: File,
   paintByExampleImage?: File
@@ -26,38 +28,29 @@ export default async function inpaint(
     fd.append("mask", customMask)
   }
 
-  const hdSettings = settings.hdSettings[settings.model]
   fd.append("ldmSteps", settings.ldmSteps.toString())
   fd.append("ldmSampler", settings.ldmSampler.toString())
   fd.append("zitsWireframe", settings.zitsWireframe.toString())
-  fd.append("hdStrategy", hdSettings.hdStrategy)
+  fd.append("hdStrategy", "Crop")
-  fd.append("hdStrategyCropMargin", hdSettings.hdStrategyCropMargin.toString())
+  fd.append("hdStrategyCropMargin", "128")
-  fd.append(
+  fd.append("hdStrategyCropTrigerSize", "640")
-    "hdStrategyCropTrigerSize",
+  fd.append("hdStrategyResizeLimit", "2048")
-    hdSettings.hdStrategyCropTrigerSize.toString()
-  )
-  fd.append(
-    "hdStrategyResizeLimit",
-    hdSettings.hdStrategyResizeLimit.toString()
-  )
 
-  fd.append("prompt", prompt === undefined ? "" : prompt)
+  fd.append("prompt", settings.prompt)
-  fd.append(
+  fd.append("negativePrompt", settings.negativePrompt)
-    "negativePrompt",
-    negativePrompt === undefined ? "" : negativePrompt
-  )
   fd.append("croperX", croperRect.x.toString())
   fd.append("croperY", croperRect.y.toString())
   fd.append("croperHeight", croperRect.height.toString())
   fd.append("croperWidth", croperRect.width.toString())
-  fd.append("useCroper", settings.showCroper ? "true" : "false")
+  // fd.append("useCroper", settings.showCroper ? "true" : "false")
+  fd.append("useCroper", "false")
 
   fd.append("sdMaskBlur", settings.sdMaskBlur.toString())
   fd.append("sdStrength", settings.sdStrength.toString())
   fd.append("sdSteps", settings.sdSteps.toString())
   fd.append("sdGuidanceScale", settings.sdGuidanceScale.toString())
   fd.append("sdSampler", settings.sdSampler.toString())
-  fd.append("sdSeed", seed ? seed.toString() : "-1")
+  fd.append("sdSeed", settings.seed.toString())
   fd.append("sdMatchHistograms", settings.sdMatchHistograms ? "true" : "false")
   fd.append("sdScale", (settings.sdScale / 100).toString())
 
@@ -69,7 +62,7 @@ export default async function inpaint(
     "paintByExampleGuidanceScale",
     settings.paintByExampleGuidanceScale.toString()
   )
-  fd.append("paintByExampleSeed", seed ? seed.toString() : "-1")
+  fd.append("paintByExampleSeed", settings.seed.toString())
   fd.append(
     "paintByExampleMaskBlur",
     settings.paintByExampleMaskBlur.toString()
@@ -94,10 +87,7 @@ export default async function inpaint(
     "controlnet_conditioning_scale",
     settings.controlnetConditioningScale.toString()
   )
-  fd.append(
+  fd.append("controlnet_method", settings.controlnetMethod.toString())
-    "controlnet_method",
-    ControlNetMethodMap[settings.controlnetMethod.toString()]
-  )
 
   try {
     const res = await fetch(`${API_ENDPOINT}/inpaint`, {
@@ -137,6 +127,10 @@ export function currentModel() {
   })
 }
 
+export function fetchModelInfos(): Promise<ModelInfo[]> {
+  return api.get("/models").then((response) => response.data)
+}
+
 export function isDesktop() {
   return fetch(`${API_ENDPOINT}/is_desktop`, {
     method: "GET",

web_app/src/lib/states.ts

@@ -1,14 +1,17 @@
-import { create, StoreApi, UseBoundStore } from "zustand"
+import { create } from "zustand"
 import { persist } from "zustand/middleware"
 import { immer } from "zustand/middleware/immer"
-import { SortBy, SortOrder } from "./types"
+import { CV2Flag, LDMSampler, ModelInfo, SortBy, SortOrder } from "./types"
 import { DEFAULT_BRUSH_SIZE } from "./const"
+import { SDSampler } from "./store"
 
 type FileManagerState = {
   sortBy: SortBy
   sortOrder: SortOrder
   layout: "rows" | "masonry"
   searchText: string
+  inputDirectory: string
+  outputDirectory: string
 }
 
 type CropperState = {
@@ -18,81 +21,256 @@ type CropperState = {
   height: number
 }
 
+export type Settings = {
+  model: ModelInfo
+  enableDownloadMask: boolean
+  enableManualInpainting: boolean
+  enableUploadMask: boolean
+  showCroper: boolean
+
+  // For LDM
+  ldmSteps: number
+  ldmSampler: LDMSampler
+
+  // For ZITS
+  zitsWireframe: boolean
+
+  // For OpenCV2
+  cv2Radius: number
+  cv2Flag: CV2Flag
+
+  // For Diffusion moel
+  prompt: string
+  negativePrompt: string
+  seed: number
+  seedFixed: boolean
+
+  // For SD
+  sdMaskBlur: number
+  sdStrength: number
+  sdSteps: number
+  sdGuidanceScale: number
+  sdSampler: SDSampler
+  sdMatchHistograms: boolean
+  sdScale: number
+
+  // Paint by Example
+  paintByExampleSteps: number
+  paintByExampleGuidanceScale: number
+  paintByExampleMaskBlur: number
+  paintByExampleMatchHistograms: boolean
+
+  // InstructPix2Pix
+  p2pSteps: number
+  p2pImageGuidanceScale: number
+  p2pGuidanceScale: number
+
+  // ControlNet
+  controlnetConditioningScale: number
+  controlnetMethod: string
+}
+
+type ServerConfig = {
+  plugins: string[]
+  availableControlNet: Record<string, string[]>
+  enableFileManager: boolean
+  enableAutoSaving: boolean
+}
+
+type InteractiveSegState = {
+  isInteractiveSeg: boolean
+  isInteractiveSegRunning: boolean
+  clicks: number[][]
+}
+
 type AppState = {
   file: File | null
+  customMask: File | null
   imageHeight: number
   imageWidth: number
   brushSize: number
   brushSizeScale: number
-
   isInpainting: boolean
-  isInteractiveSeg: boolean // 是否正处于 sam 状态
+  isPluginRunning: boolean
-  isInteractiveSegRunning: boolean
-  interactiveSegClicks: number[][]
-
-  prompt: string
 
+  interactiveSegState: InteractiveSegState
   fileManagerState: FileManagerState
   cropperState: CropperState
+  serverConfig: ServerConfig
+
+  settings: Settings
 }
 
 type AppAction = {
   setFile: (file: File) => void
+  setCustomFile: (file: File) => void
   setIsInpainting: (newValue: boolean) => void
+  setIsPluginRunning: (newValue: boolean) => void
   setBrushSize: (newValue: number) => void
   setImageSize: (width: number, height: number) => void
-  setPrompt: (newValue: string) => void
-
-  setFileManagerSortBy: (newValue: SortBy) => void
-  setFileManagerSortOrder: (newValue: SortOrder) => void
-  setFileManagerLayout: (
-    newValue: AppState["fileManagerState"]["layout"]
-  ) => void
-  setFileManagerSearchText: (newValue: string) => void
 
   setCropperX: (newValue: number) => void
   setCropperY: (newValue: number) => void
   setCropperWidth: (newValue: number) => void
   setCropperHeight: (newValue: number) => void
+
+  setServerConfig: (newValue: ServerConfig) => void
+  setSeed: (newValue: number) => void
+  updateSettings: (newSettings: Partial<Settings>) => void
+  updateFileManagerState: (newState: Partial<FileManagerState>) => void
+  updateInteractiveSegState: (newState: Partial<InteractiveSegState>) => void
+  resetInteractiveSegState: () => void
+  shouldShowPromptInput: () => boolean
 }
 
-export const useStore = create<AppState & AppAction>()(
+const defaultValues: AppState = {
-  immer(
-    persist(
-      (set, get) => ({
   file: null,
+  customMask: null,
   imageHeight: 0,
   imageWidth: 0,
   brushSize: DEFAULT_BRUSH_SIZE,
   brushSizeScale: 1,
   isInpainting: false,
+  isPluginRunning: false,
+
+  interactiveSegState: {
     isInteractiveSeg: false,
     isInteractiveSegRunning: false,
-        interactiveSegClicks: [],
+    clicks: [],
-        prompt: "",
+  },
+
   cropperState: {
     x: 0,
     y: 0,
-          width: 0,
+    width: 512,
-          height: 0,
+    height: 512,
   },
   fileManagerState: {
     sortBy: SortBy.CTIME,
     sortOrder: SortOrder.DESCENDING,
     layout: "masonry",
     searchText: "",
+    inputDirectory: "",
+    outputDirectory: "",
   },
+  serverConfig: {
+    plugins: [],
+    availableControlNet: { SD: [], SD2: [], SDXL: [] },
+    enableFileManager: false,
+    enableAutoSaving: false,
+  },
+  settings: {
+    model: {
+      name: "lama",
+      path: "lama",
+      model_type: "inpaint",
+      support_controlnet: false,
+      support_freeu: false,
+      support_lcm_lora: false,
+      is_single_file_diffusers: false,
+    },
+    showCroper: false,
+    enableDownloadMask: false,
+    enableManualInpainting: false,
+    enableUploadMask: false,
+    ldmSteps: 30,
+    ldmSampler: LDMSampler.ddim,
+    zitsWireframe: true,
+    cv2Radius: 5,
+    cv2Flag: CV2Flag.INPAINT_NS,
+    prompt: "",
+    negativePrompt: "",
+    seed: 42,
+    seedFixed: false,
+    sdMaskBlur: 5,
+    sdStrength: 1.0,
+    sdSteps: 50,
+    sdGuidanceScale: 7.5,
+    sdSampler: SDSampler.uni_pc,
+    sdMatchHistograms: false,
+    sdScale: 100,
+    paintByExampleSteps: 50,
+    paintByExampleGuidanceScale: 7.5,
+    paintByExampleMaskBlur: 5,
+    paintByExampleMatchHistograms: false,
+    p2pSteps: 50,
+    p2pImageGuidanceScale: 1.5,
+    p2pGuidanceScale: 7.5,
+    controlnetConditioningScale: 0.4,
+    controlnetMethod: "lllyasviel/control_v11p_sd15_canny",
+  },
+}
+
+export const useStore = create<AppState & AppAction>()(
+  immer(
+    persist(
+      (set, get) => ({
+        ...defaultValues,
+
+        shouldShowPromptInput: (): boolean => {
+          const model_type = get().settings.model.model_type
+          return ["diffusers_sd"].includes(model_type)
+        },
+
+        setServerConfig: (newValue: ServerConfig) => {
+          set((state: AppState) => {
+            state.serverConfig = newValue
+          })
+        },
+
+        updateSettings: (newSettings: Partial<Settings>) => {
+          set((state: AppState) => {
+            state.settings = {
+              ...state.settings,
+              ...newSettings,
+            }
+          })
+        },
+
+        updateFileManagerState: (newState: Partial<FileManagerState>) => {
+          set((state: AppState) => {
+            state.fileManagerState = {
+              ...state.fileManagerState,
+              ...newState,
+            }
+          })
+        },
+
+        updateInteractiveSegState: (newState: Partial<InteractiveSegState>) => {
+          set((state: AppState) => {
+            state.interactiveSegState = {
+              ...state.interactiveSegState,
+              ...newState,
+            }
+          })
+        },
+        resetInteractiveSegState: () => {
+          set((state: AppState) => {
+            state.interactiveSegState = defaultValues.interactiveSegState
+          })
+        },
+
         setIsInpainting: (newValue: boolean) =>
           set((state: AppState) => {
             state.isInpainting = newValue
           }),
 
+        setIsPluginRunning: (newValue: boolean) =>
+          set((state: AppState) => {
+            state.isPluginRunning = newValue
+          }),
+
         setFile: (file: File) =>
           set((state: AppState) => {
             // TODO: 清空各种状态
             state.file = file
           }),
 
+        setCustomFile: (file: File) =>
+          set((state: AppState) => {
+            state.customMask = file
+          }),
+
         setBrushSize: (newValue: number) =>
           set((state: AppState) => {
             state.brushSize = newValue
@@ -107,11 +285,6 @@ export const useStore = create<AppState & AppAction>()(
           })
         },
 
-        setPrompt: (newValue: string) =>
-          set((state: AppState) => {
-            state.prompt = newValue
-          }),
-
         setCropperX: (newValue: number) =>
           set((state: AppState) => {
             state.cropperState.x = newValue
@@ -132,32 +305,18 @@ export const useStore = create<AppState & AppAction>()(
             state.cropperState.height = newValue
           }),
 
-        setFileManagerSortBy: (newValue: SortBy) =>
+        setSeed: (newValue: number) =>
           set((state: AppState) => {
-            state.fileManagerState.sortBy = newValue
+            state.settings.seed = newValue
-          }),
-
-        setFileManagerSortOrder: (newValue: SortOrder) =>
-          set((state: AppState) => {
-            state.fileManagerState.sortOrder = newValue
-          }),
-
-        setFileManagerLayout: (newValue: "rows" | "masonry") =>
-          set((state: AppState) => {
-            state.fileManagerState.layout = newValue
-          }),
-
-        setFileManagerSearchText: (newValue: string) =>
-          set((state: AppState) => {
-            state.fileManagerState.searchText = newValue
           }),
       }),
       {
         name: "ZUSTAND_STATE", // name of the item in the storage (must be unique)
+        version: 0,
         partialize: (state) =>
           Object.fromEntries(
             Object.entries(state).filter(([key]) =>
-              ["fileManagerState", "prompt"].includes(key)
+              ["fileManagerState", "prompt", "settings"].includes(key)
             )
           ),
       }

web_app/src/lib/store.ts

@@ -1,6 +1,6 @@
 import { atom, selector } from "recoil"
 import _ from "lodash"
-import { CV2Flag, HDStrategy, LDMSampler, ModelsHDSettings } from "./types"
+import { CV2Flag, LDMSampler } from "./types"
 
 export enum AIModel {
   LAMA = "lama",
@@ -320,7 +320,6 @@ export interface Settings {
   graduallyInpainting: boolean
   runInpaintingManually: boolean
   model: AIModel
-  hdSettings: ModelsHDSettings
 
   // For LDM
   ldmSteps: number
@@ -363,107 +362,6 @@ export interface Settings {
   controlnetMethod: string
 }
 
-const defaultHDSettings: ModelsHDSettings = {
-  [AIModel.LAMA]: {
-    hdStrategy: HDStrategy.CROP,
-    hdStrategyResizeLimit: 2048,
-    hdStrategyCropTrigerSize: 800,
-    hdStrategyCropMargin: 196,
-    enabled: true,
-  },
-  [AIModel.LDM]: {
-    hdStrategy: HDStrategy.CROP,
-    hdStrategyResizeLimit: 1080,
-    hdStrategyCropTrigerSize: 1080,
-    hdStrategyCropMargin: 128,
-    enabled: true,
-  },
-  [AIModel.ZITS]: {
-    hdStrategy: HDStrategy.CROP,
-    hdStrategyResizeLimit: 1024,
-    hdStrategyCropTrigerSize: 1024,
-    hdStrategyCropMargin: 128,
-    enabled: true,
-  },
-  [AIModel.MAT]: {
-    hdStrategy: HDStrategy.CROP,
-    hdStrategyResizeLimit: 1024,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: true,
-  },
-  [AIModel.FCF]: {
-    hdStrategy: HDStrategy.CROP,
-    hdStrategyResizeLimit: 512,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: false,
-  },
-  [AIModel.SD15]: {
-    hdStrategy: HDStrategy.ORIGINAL,
-    hdStrategyResizeLimit: 768,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: false,
-  },
-  [AIModel.ANYTHING4]: {
-    hdStrategy: HDStrategy.ORIGINAL,
-    hdStrategyResizeLimit: 768,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: false,
-  },
-  [AIModel.REALISTIC_VISION_1_4]: {
-    hdStrategy: HDStrategy.ORIGINAL,
-    hdStrategyResizeLimit: 768,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: false,
-  },
-  [AIModel.SD2]: {
-    hdStrategy: HDStrategy.ORIGINAL,
-    hdStrategyResizeLimit: 768,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: false,
-  },
-  [AIModel.PAINT_BY_EXAMPLE]: {
-    hdStrategy: HDStrategy.ORIGINAL,
-    hdStrategyResizeLimit: 768,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: false,
-  },
-  [AIModel.PIX2PIX]: {
-    hdStrategy: HDStrategy.ORIGINAL,
-    hdStrategyResizeLimit: 768,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: false,
-  },
-  [AIModel.Mange]: {
-    hdStrategy: HDStrategy.CROP,
-    hdStrategyResizeLimit: 1280,
-    hdStrategyCropTrigerSize: 1024,
-    hdStrategyCropMargin: 196,
-    enabled: true,
-  },
-  [AIModel.CV2]: {
-    hdStrategy: HDStrategy.RESIZE,
-    hdStrategyResizeLimit: 1080,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: true,
-  },
-  [AIModel.KANDINSKY22]: {
-    hdStrategy: HDStrategy.ORIGINAL,
-    hdStrategyResizeLimit: 768,
-    hdStrategyCropTrigerSize: 512,
-    hdStrategyCropMargin: 128,
-    enabled: false,
-  },
-}
-
 export enum SDSampler {
   ddim = "ddim",
   pndm = "pndm",
@@ -487,7 +385,6 @@ export const settingStateDefault: Settings = {
   graduallyInpainting: true,
   runInpaintingManually: false,
   model: AIModel.LAMA,
-  hdSettings: defaultHDSettings,
 
   ldmSteps: 25,
   ldmSampler: LDMSampler.plms,
@@ -588,24 +485,6 @@ export const seedState = selector({
   },
 })
 
-export const hdSettingsState = selector({
-  key: "hdSettings",
-  get: ({ get }) => {
-    const settings = get(settingState)
-    return settings.hdSettings[settings.model]
-  },
-  set: ({ get, set }, newValue: any) => {
-    const settings = get(settingState)
-    const hdSettings = settings.hdSettings[settings.model]
-    const newHDSettings = { ...hdSettings, ...newValue }
-
-    set(settingState, {
-      ...settings,
-      hdSettings: { ...settings.hdSettings, [settings.model]: newHDSettings },
-    })
-  },
-})
-
 export const isSDState = selector({
   key: "isSD",
   get: ({ get }) => {

web_app/src/lib/types.ts

@@ -1,3 +1,19 @@
+export interface ModelInfo {
+  name: string
+  path: string
+  model_type:
+    | "inpaint"
+    | "diffusers_sd"
+    | "diffusers_sdxl"
+    | "diffusers_sd_inpaint"
+    | "diffusers_sdxl_inpaint"
+    | "diffusers_other"
+  support_controlnet: boolean
+  support_freeu: boolean
+  support_lcm_lora: boolean
+  is_single_file_diffusers: boolean
+}
+
 export enum PluginName {
   RemoveBG = "RemoveBG",
   AnimeSeg = "AnimeSeg",
@@ -18,12 +34,6 @@ export enum SortOrder {
   ASCENDING = "asc",
 }
 
-export enum HDStrategy {
-  ORIGINAL = "Original",
-  RESIZE = "Resize",
-  CROP = "Crop",
-}
-
 export enum LDMSampler {
   ddim = "ddim",
   plms = "plms",
@@ -34,12 +44,9 @@ export enum CV2Flag {
   INPAINT_TELEA = "INPAINT_TELEA",
 }
 
-export interface HDSettings {
+export interface Rect {
-  hdStrategy: HDStrategy
+  x: number
-  hdStrategyResizeLimit: number
+  y: number
-  hdStrategyCropTrigerSize: number
+  width: number
-  hdStrategyCropMargin: number
+  height: number
-  enabled: boolean
 }
-
-export type ModelsHDSettings = { [key in AIModel]: HDSettings }

web_app/src/main.tsx

@@ -1,16 +1,18 @@
 import React from "react"
 import ReactDOM from "react-dom/client"
-import { RecoilRoot } from "recoil"
+import { QueryClient, QueryClientProvider } from "@tanstack/react-query"
 import App from "./App.tsx"
 import "./globals.css"
 import { ThemeProvider } from "./components/theme-provider.tsx"
 
+const queryClient = new QueryClient()
+
 ReactDOM.createRoot(document.getElementById("root")!).render(
   <React.StrictMode>
+    <QueryClientProvider client={queryClient}>
       <ThemeProvider defaultTheme="dark" storageKey="vite-ui-theme">
-      <RecoilRoot>
         <App />
-      </RecoilRoot>
       </ThemeProvider>
+    </QueryClientProvider>
   </React.StrictMode>
 )

web_app/tailwind.config.js

@@ -2,10 +2,10 @@
 module.exports = {
   darkMode: ["class"],
   content: [
-    './pages/**/*.{ts,tsx}',
+    "./pages/**/*.{ts,tsx}",
-    './components/**/*.{ts,tsx}',
+    "./components/**/*.{ts,tsx}",
-    './app/**/*.{ts,tsx}',
+    "./app/**/*.{ts,tsx}",
-    './src/**/*.{ts,tsx}',
+    "./src/**/*.{ts,tsx}",
   ],
   theme: {
     container: {