switch to FastAPI

lama_cleaner/api.py

@@ -175,6 +175,7 @@ class Api:
     def api_inpaint(self, req: InpaintRequest):
         image, alpha_channel, infos = decode_base64_to_image(req.image)
         mask, _, _ = decode_base64_to_image(req.mask, gray=True)
+
         mask = cv2.threshold(mask, 127, 255, cv2.THRESH_BINARY)[1]
         if image.shape[:2] != mask.shape[:2]:
             raise HTTPException(

lama_cleaner/file_manager/file_manager.py

@@ -7,13 +7,7 @@ from PIL import Image, ImageOps, PngImagePlugin
 from fastapi import FastAPI, UploadFile, HTTPException
 from starlette.responses import FileResponse
 
-from ..schema import (
+from ..schema import MediasResponse, MediaTab
-    MediasResponse,
-    MediasRequest,
-    MediaFileRequest,
-    MediaTab,
-    MediaThumbnailFileRequest,
-)
 
 LARGE_ENOUGH_NUMBER = 100
 PngImagePlugin.MAX_TEXT_CHUNK = LARGE_ENOUGH_NUMBER * (1024**2)
@@ -34,9 +28,9 @@ class FileManager:
 
         # fmt: off
         self.app.add_api_route("/api/v1/save_image", self.api_save_image, methods=["POST"])
-        self.app.add_api_route("/api/v1/medias", self.api_medias, methods=["POST"], response_model=List[MediasResponse])
+        self.app.add_api_route("/api/v1/medias", self.api_medias, methods=["GET"], response_model=List[MediasResponse])
-        self.app.add_api_route("/api/v1/media_file", self.api_media_file, methods=["POST"], response_model=None)
+        self.app.add_api_route("/api/v1/media_file", self.api_media_file, methods=["GET"])
-        self.app.add_api_route("/api/v1/media_thumbnail_file", self.api_media_thumbnail_file, methods=["POST"], response_model=None)
+        self.app.add_api_route("/api/v1/media_thumbnail_file", self.api_media_thumbnail_file, methods=["GET"])
         # fmt: on
 
     def api_save_image(self, file: UploadFile):
@@ -45,18 +39,21 @@ class FileManager:
         with open(self.output_dir / filename, "wb") as fw:
             fw.write(origin_image_bytes)
 
-    def api_medias(self, req: MediasRequest) -> List[MediasResponse]:
+    def api_medias(self, tab: MediaTab) -> List[MediasResponse]:
-        img_dir = self._get_dir(req.tab)
+        img_dir = self._get_dir(tab)
         return self._media_names(img_dir)
 
-    def api_media_file(self, req: MediaFileRequest) -> FileResponse:
+    def api_media_file(self, tab: MediaTab, filename: str) -> FileResponse:
-        file_path = self._get_file(req.tab, req.filename)
+        file_path = self._get_file(tab, filename)
-        return FileResponse(file_path)
+        return FileResponse(file_path, media_type="image/png")
 
-    def api_media_thumbnail_file(self, req: MediaThumbnailFileRequest) -> FileResponse:
+    # tab=${tab}?filename=${filename.name}?width=${width}&height=${height}
-        img_dir = self._get_dir(req.tab)
+    def api_media_thumbnail_file(
+        self, tab: MediaTab, filename: str, width: int, height: int
+    ) -> FileResponse:
+        img_dir = self._get_dir(tab)
         thumb_filename, (width, height) = self.get_thumbnail(
-            img_dir, req.filename, width=req.width, height=req.height
+            img_dir, filename, width=width, height=height
         )
         thumbnail_filepath = self.thumbnail_directory / thumb_filename
         return FileResponse(
@@ -65,6 +62,7 @@ class FileManager:
                 "X-Width": str(width),
                 "X-Height": str(height),
             },
+            media_type="image/jpeg",
         )
 
     def _get_dir(self, tab: MediaTab) -> Path:

lama_cleaner/schema.py

@@ -236,10 +236,6 @@ class RunPluginRequest(BaseModel):
 MediaTab = Literal["input", "output"]
 
 
-class MediasRequest(BaseModel):
-    tab: MediaTab
-
-
 class MediasResponse(BaseModel):
     name: str
     height: int
@@ -248,18 +244,6 @@ class MediasResponse(BaseModel):
     mtime: float
 
 
-class MediaFileRequest(BaseModel):
-    tab: MediaTab
-    filename: str
-
-
-class MediaThumbnailFileRequest(BaseModel):
-    tab: MediaTab
-    filename: str
-    width: int = 0
-    height: int = 0
-
-
 class GenInfoResponse(BaseModel):
     prompt: str = ""
     negative_prompt: str = ""

lama_cleaner/server.py

@@ -1,186 +0,0 @@
-#!/usr/bin/env python3
-import multiprocessing
-import os
-
-import cv2
-
-os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
-
-NUM_THREADS = str(multiprocessing.cpu_count())
-cv2.setNumThreads(NUM_THREADS)
-
-# fix libomp problem on windows https://github.com/Sanster/lama-cleaner/issues/56
-os.environ["KMP_DUPLICATE_LIB_OK"] = "True"
-
-os.environ["OMP_NUM_THREADS"] = NUM_THREADS
-os.environ["OPENBLAS_NUM_THREADS"] = NUM_THREADS
-os.environ["MKL_NUM_THREADS"] = NUM_THREADS
-os.environ["VECLIB_MAXIMUM_THREADS"] = NUM_THREADS
-os.environ["NUMEXPR_NUM_THREADS"] = NUM_THREADS
-
-import hashlib
-import traceback
-from dataclasses import dataclass
-
-import io
-import random
-import time
-from pathlib import Path
-
-import cv2
-import numpy as np
-import torch
-from PIL import Image
-from loguru import logger
-
-from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse
-
-from lama_cleaner.const import *
-from lama_cleaner.file_manager import FileManager
-from lama_cleaner.model.utils import torch_gc
-from lama_cleaner.model_manager import ModelManager
-from lama_cleaner.plugins import (
-    InteractiveSeg,
-    RemoveBG,
-    AnimeSeg,
-    build_plugins,
-)
-from lama_cleaner.schema import InpaintRequest
-from lama_cleaner.helper import (
-    load_img,
-    numpy_to_bytes,
-    resize_max_size,
-    pil_to_bytes,
-    is_mac,
-    get_image_ext, concat_alpha_channel,
-)
-
-try:
-    torch._C._jit_override_can_fuse_on_cpu(False)
-    torch._C._jit_override_can_fuse_on_gpu(False)
-    torch._C._jit_set_texpr_fuser_enabled(False)
-    torch._C._jit_set_nvfuser_enabled(False)
-except:
-    pass
-
-
-app = FastAPI()
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-BUILD_DIR = os.environ.get("LAMA_CLEANER_BUILD_DIR", "app/build")
-
-global_config = GlobalConfig()
-
-def diffuser_callback(i, t, latents):
-    socketio.emit("diffusion_progress", {"step": i})
-
-
-def start(
-    host: str,
-    port: int,
-    model: str,
-    no_half: bool,
-    cpu_offload: bool,
-    disable_nsfw_checker,
-    cpu_textencoder: bool,
-    device: Device,
-    gui: bool,
-    disable_model_switch: bool,
-    input: Path,
-    output_dir: Path,
-    quality: int,
-    enable_interactive_seg: bool,
-    interactive_seg_model: InteractiveSegModel,
-    interactive_seg_device: Device,
-    enable_remove_bg: bool,
-    enable_anime_seg: bool,
-    enable_realesrgan: bool,
-    realesrgan_device: Device,
-    realesrgan_model: RealESRGANModel,
-    enable_gfpgan: bool,
-    gfpgan_device: Device,
-    enable_restoreformer: bool,
-    restoreformer_device: Device,
-):
-    if input:
-        if not input.exists():
-            logger.error(f"invalid --input: {input} not exists")
-            exit()
-        if input.is_dir():
-            logger.info(f"Initialize file manager")
-            file_manager = FileManager(app)
-            app.config["THUMBNAIL_MEDIA_ROOT"] = input
-            app.config["THUMBNAIL_MEDIA_THUMBNAIL_ROOT"] = os.path.join(
-                output_dir, "lama_cleaner_thumbnails"
-            )
-            file_manager.output_dir = output_dir
-            global_config.file_manager = file_manager
-        else:
-            global_config.input_image_path = input
-
-    global_config.image_quality = quality
-    global_config.disable_model_switch = disable_model_switch
-    global_config.is_desktop = gui
-    build_plugins(
-        global_config,
-        enable_interactive_seg,
-        interactive_seg_model,
-        interactive_seg_device,
-        enable_remove_bg,
-        enable_anime_seg,
-        enable_realesrgan,
-        realesrgan_device,
-        realesrgan_model,
-        enable_gfpgan,
-        gfpgan_device,
-        enable_restoreformer,
-        restoreformer_device,
-        no_half,
-    )
-    if output_dir:
-        output_dir = output_dir.expanduser().absolute()
-        logger.info(f"Image will auto save to output dir: {output_dir}")
-        if not output_dir.exists():
-            logger.info(f"Create output dir: {output_dir}")
-            output_dir.mkdir(parents=True)
-        global_config.output_dir = output_dir
-
-    global_config.model_manager = ModelManager(
-        name=model,
-        device=torch.device(device),
-        no_half=no_half,
-        disable_nsfw=disable_nsfw_checker,
-        sd_cpu_textencoder=cpu_textencoder,
-        cpu_offload=cpu_offload,
-        callback=diffuser_callback,
-    )
-
-    if gui:
-        from flaskwebgui import FlaskUI
-
-        ui = FlaskUI(
-            app,
-            socketio=socketio,
-            width=1200,
-            height=800,
-            host=host,
-            port=port,
-            close_server_on_exit=True,
-            idle_interval=60,
-        )
-        ui.run()
-    else:
-        socketio.run(
-            app,
-            host=host,
-            port=port,
-            allow_unsafe_werkzeug=True,
-        )

web_app/src/components/FileManager.tsx

@@ -48,7 +48,7 @@ const SORT_BY_NAME = "Name"
 const SORT_BY_CREATED_TIME = "Created time"
 const SORT_BY_MODIFIED_TIME = "Modified time"
 
-const IMAGE_TAB = "image"
+const IMAGE_TAB = "input"
 const OUTPUT_TAB = "output"
 
 const SortByMap = {
@@ -158,7 +158,9 @@ export default function FileManager(props: Props) {
         const newPhotos = filteredFilenames.map((filename: Filename) => {
           const width = photoWidth
           const height = filename.height * (width / filename.width)
-          const src = `${API_ENDPOINT}/media_thumbnail/${tab}/${filename.name}?width=${width}&height=${height}`
+          const src = `${API_ENDPOINT}/media_thumbnail_file?tab=${tab}&filename=${encodeURIComponent(
+            filename.name
+          )}&width=${Math.ceil(width)}&height=${Math.ceil(height)}`
           return { src, height, width, name: filename.name }
         })
         setPhotos(newPhotos)

web_app/src/components/Header.tsx

@@ -71,8 +71,16 @@ const Header = () => {
           <FileManager
             photoWidth={512}
             onPhotoClick={async (tab: string, filename: string) => {
+              try {
                 const newFile = await getMediaFile(tab, filename)
                 setFile(newFile)
+              } catch (e: any) {
+                toast({
+                  variant: "destructive",
+                  description: e.message ? e.message : e.toString(),
+                })
+                return
+              }
             }}
           />
         ) : (

web_app/src/components/Settings.tsx

@@ -115,19 +115,15 @@ export function SettingsDialog() {
       updateAppState({ disableShortCuts: true })
       switchModel(model.name)
         .then((res) => {
-          if (res.ok) {
           toast({
             title: `Switch to ${model.name} success`,
           })
           setAppModel(model)
-          } else {
-            throw new Error("Server error")
-          }
         })
-        .catch(() => {
+        .catch((error: any) => {
           toast({
             variant: "destructive",
-            title: `Switch to ${model.name} failed`,
+            title: `Switch to ${model.name} failed: ${error}`,
           })
           setModel(settings.model)
         })
@@ -168,17 +164,21 @@ export function SettingsDialog() {
       .filter((info) => model_types.includes(info.model_type))
       .map((info: ModelInfo) => {
         return (
-          <div key={info.name} onClick={() => onModelSelect(info)}>
+          <div
+            key={info.name}
+            onClick={() => onModelSelect(info)}
+            className="px-2"
+          >
             <div
               className={cn([
                 info.name === model.name ? "bg-muted" : "hover:bg-muted",
-                "rounded-md px-2 py-1 my-1",
+                "rounded-md px-2 py-2",
                 "cursor-default",
               ])}
             >
               <div className="text-base">{info.name}</div>
             </div>
-            <Separator />
+            <Separator className="my-1" />
           </div>
         )
       })

web_app/src/lib/api.ts

@@ -1,7 +1,7 @@
 import { Filename, ModelInfo, PowerPaintTask, Rect } from "@/lib/types"
 import { Settings } from "@/lib/states"
 import { convertToBase64, srcToFile } from "@/lib/utils"
-import axios, { AxiosError } from "axios"
+import axios from "axios"
 
 export const API_ENDPOINT = import.meta.env.VITE_BACKEND
   ? import.meta.env.VITE_BACKEND
@@ -93,12 +93,7 @@ export function getServerConfig() {
 }
 
 export function switchModel(name: string) {
-  const fd = new FormData()
+  return axios.post(`${API_ENDPOINT}/model`, { name })
-  fd.append("name", name)
-  return fetch(`${API_ENDPOINT}/model`, {
-    method: "POST",
-    body: fd,
-  })
 }
 
 export function currentModel() {
@@ -151,14 +146,18 @@ export async function runPlugin(
 
 export async function getMediaFile(tab: string, filename: string) {
   const res = await fetch(
-    `${API_ENDPOINT}/media/${tab}/${encodeURIComponent(filename)}`,
+    `${API_ENDPOINT}/media_file?tab=${tab}&filename=${encodeURIComponent(
+      filename
+    )}`,
     {
       method: "GET",
     }
   )
   if (res.ok) {
     const blob = await res.blob()
-    const file = new File([blob], filename)
+    const file = new File([blob], filename, {
+      type: res.headers.get("Content-Type") ?? "image/png",
+    })
     return file
   }
   const errMsg = await res.text()
@@ -166,15 +165,8 @@ export async function getMediaFile(tab: string, filename: string) {
 }
 
 export async function getMedias(tab: string): Promise<Filename[]> {
-  const res = await fetch(`${API_ENDPOINT}/medias/${tab}`, {
+  const res = await axios.get(`${API_ENDPOINT}/medias`, { params: { tab } })
-    method: "GET",
+  return res.data
-  })
-  if (res.ok) {
-    const filenames = await res.json()
-    return filenames
-  }
-  const errMsg = await res.text()
-  throw new Error(errMsg)
 }
 
 export async function downloadToOutput(
@@ -192,7 +184,6 @@ export async function downloadToOutput(
       method: "POST",
       body: fd,
     })
-    console.log(res.ok)
     if (!res.ok) {
       const errMsg = await res.text()
       throw new Error(errMsg)