70af4845af
new file: inpaint/__main__.py new file: inpaint/api.py new file: inpaint/batch_processing.py new file: inpaint/benchmark.py new file: inpaint/cli.py new file: inpaint/const.py new file: inpaint/download.py new file: inpaint/file_manager/__init__.py new file: inpaint/file_manager/file_manager.py new file: inpaint/file_manager/storage_backends.py new file: inpaint/file_manager/utils.py new file: inpaint/helper.py new file: inpaint/installer.py new file: inpaint/model/__init__.py new file: inpaint/model/anytext/__init__.py new file: inpaint/model/anytext/anytext_model.py new file: inpaint/model/anytext/anytext_pipeline.py new file: inpaint/model/anytext/anytext_sd15.yaml new file: inpaint/model/anytext/cldm/__init__.py new file: inpaint/model/anytext/cldm/cldm.py new file: inpaint/model/anytext/cldm/ddim_hacked.py new file: inpaint/model/anytext/cldm/embedding_manager.py new file: inpaint/model/anytext/cldm/hack.py new file: inpaint/model/anytext/cldm/model.py new file: inpaint/model/anytext/cldm/recognizer.py new file: inpaint/model/anytext/ldm/__init__.py new file: inpaint/model/anytext/ldm/models/__init__.py new file: inpaint/model/anytext/ldm/models/autoencoder.py new file: inpaint/model/anytext/ldm/models/diffusion/__init__.py new file: inpaint/model/anytext/ldm/models/diffusion/ddim.py new file: inpaint/model/anytext/ldm/models/diffusion/ddpm.py new file: inpaint/model/anytext/ldm/models/diffusion/dpm_solver/__init__.py new file: inpaint/model/anytext/ldm/models/diffusion/dpm_solver/dpm_solver.py new file: inpaint/model/anytext/ldm/models/diffusion/dpm_solver/sampler.py new file: inpaint/model/anytext/ldm/models/diffusion/plms.py new file: inpaint/model/anytext/ldm/models/diffusion/sampling_util.py new file: inpaint/model/anytext/ldm/modules/__init__.py new file: inpaint/model/anytext/ldm/modules/attention.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/__init__.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/model.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/openaimodel.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/upscaling.py new file: inpaint/model/anytext/ldm/modules/diffusionmodules/util.py new file: inpaint/model/anytext/ldm/modules/distributions/__init__.py new file: inpaint/model/anytext/ldm/modules/distributions/distributions.py new file: inpaint/model/anytext/ldm/modules/ema.py new file: inpaint/model/anytext/ldm/modules/encoders/__init__.py new file: inpaint/model/anytext/ldm/modules/encoders/modules.py new file: inpaint/model/anytext/ldm/util.py new file: inpaint/model/anytext/main.py new file: inpaint/model/anytext/ocr_recog/RNN.py new file: inpaint/model/anytext/ocr_recog/RecCTCHead.py new file: inpaint/model/anytext/ocr_recog/RecModel.py new file: inpaint/model/anytext/ocr_recog/RecMv1_enhance.py new file: inpaint/model/anytext/ocr_recog/RecSVTR.py new file: inpaint/model/anytext/ocr_recog/__init__.py new file: inpaint/model/anytext/ocr_recog/common.py new file: inpaint/model/anytext/ocr_recog/en_dict.txt new file: inpaint/model/anytext/ocr_recog/ppocr_keys_v1.txt new file: inpaint/model/anytext/utils.py new file: inpaint/model/base.py new file: inpaint/model/brushnet/__init__.py new file: inpaint/model/brushnet/brushnet.py new file: inpaint/model/brushnet/brushnet_unet_forward.py new file: inpaint/model/brushnet/brushnet_wrapper.py new file: inpaint/model/brushnet/pipeline_brushnet.py new file: inpaint/model/brushnet/unet_2d_blocks.py new file: inpaint/model/controlnet.py new file: inpaint/model/ddim_sampler.py new file: inpaint/model/fcf.py new file: inpaint/model/helper/__init__.py new file: inpaint/model/helper/controlnet_preprocess.py new file: inpaint/model/helper/cpu_text_encoder.py new file: inpaint/model/helper/g_diffuser_bot.py new file: inpaint/model/instruct_pix2pix.py new file: inpaint/model/kandinsky.py new file: inpaint/model/lama.py new file: inpaint/model/ldm.py new file: inpaint/model/manga.py new file: inpaint/model/mat.py new file: inpaint/model/mi_gan.py new file: inpaint/model/opencv2.py new file: inpaint/model/original_sd_configs/__init__.py new file: inpaint/model/original_sd_configs/sd_xl_base.yaml new file: inpaint/model/original_sd_configs/sd_xl_refiner.yaml new file: inpaint/model/original_sd_configs/v1-inference.yaml new file: inpaint/model/original_sd_configs/v2-inference-v.yaml new file: inpaint/model/paint_by_example.py new file: inpaint/model/plms_sampler.py new file: inpaint/model/power_paint/__init__.py new file: inpaint/model/power_paint/pipeline_powerpaint.py new file: inpaint/model/power_paint/power_paint.py new file: inpaint/model/power_paint/power_paint_v2.py new file: inpaint/model/power_paint/powerpaint_tokenizer.py
111 lines
3.9 KiB
Python
111 lines
3.9 KiB
Python
import os
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import PIL.Image
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import cv2
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import torch
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from diffusers import AutoencoderKL
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from loguru import logger
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from inpaint.schema import InpaintRequest, ModelType
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from .base import DiffusionInpaintModel
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from .helper.cpu_text_encoder import CPUTextEncoderWrapper
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from .original_sd_configs import get_config_files
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from .utils import (
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handle_from_pretrained_exceptions,
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get_torch_dtype,
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enable_low_mem,
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is_local_files_only,
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)
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class SDXL(DiffusionInpaintModel):
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name = "diffusers/stable-diffusion-xl-1.0-inpainting-0.1"
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pad_mod = 8
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min_size = 512
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lcm_lora_id = "latent-consistency/lcm-lora-sdxl"
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model_id_or_path = "diffusers/stable-diffusion-xl-1.0-inpainting-0.1"
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def init_model(self, device: torch.device, **kwargs):
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from diffusers.pipelines import StableDiffusionXLInpaintPipeline
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use_gpu, torch_dtype = get_torch_dtype(device, kwargs.get("no_half", False))
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if self.model_info.model_type == ModelType.DIFFUSERS_SDXL:
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num_in_channels = 4
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else:
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num_in_channels = 9
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if os.path.isfile(self.model_id_or_path):
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self.model = StableDiffusionXLInpaintPipeline.from_single_file(
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self.model_id_or_path,
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torch_dtype=torch_dtype,
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num_in_channels=num_in_channels,
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load_safety_checker=False,
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original_config_file=get_config_files()['xl'],
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)
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else:
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model_kwargs = {
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**kwargs.get("pipe_components", {}),
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"local_files_only": is_local_files_only(**kwargs),
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}
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if "vae" not in model_kwargs:
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vae = AutoencoderKL.from_pretrained(
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"madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch_dtype
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)
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model_kwargs["vae"] = vae
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self.model = handle_from_pretrained_exceptions(
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StableDiffusionXLInpaintPipeline.from_pretrained,
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pretrained_model_name_or_path=self.model_id_or_path,
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torch_dtype=torch_dtype,
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variant="fp16",
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**model_kwargs
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)
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enable_low_mem(self.model, kwargs.get("low_mem", False))
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if kwargs.get("cpu_offload", False) and use_gpu:
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logger.info("Enable sequential cpu offload")
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self.model.enable_sequential_cpu_offload(gpu_id=0)
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else:
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self.model = self.model.to(device)
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if kwargs["sd_cpu_textencoder"]:
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logger.info("Run Stable Diffusion TextEncoder on CPU")
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self.model.text_encoder = CPUTextEncoderWrapper(
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self.model.text_encoder, torch_dtype
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)
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self.model.text_encoder_2 = CPUTextEncoderWrapper(
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self.model.text_encoder_2, torch_dtype
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)
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self.callback = kwargs.pop("callback", None)
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def forward(self, image, mask, config: InpaintRequest):
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"""Input image and output image have same size
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image: [H, W, C] RGB
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mask: [H, W, 1] 255 means area to repaint
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return: BGR IMAGE
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"""
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self.set_scheduler(config)
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img_h, img_w = image.shape[:2]
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output = self.model(
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image=PIL.Image.fromarray(image),
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prompt=config.prompt,
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negative_prompt=config.negative_prompt,
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mask_image=PIL.Image.fromarray(mask[:, :, -1], mode="L"),
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num_inference_steps=config.sd_steps,
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strength=0.999 if config.sd_strength == 1.0 else config.sd_strength,
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guidance_scale=config.sd_guidance_scale,
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output_type="np",
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callback_on_step_end=self.callback,
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height=img_h,
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width=img_w,
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generator=torch.manual_seed(config.sd_seed),
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).images[0]
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output = (output * 255).round().astype("uint8")
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output = cv2.cvtColor(output, cv2.COLOR_RGB2BGR)
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return output
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