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
75 lines
2.4 KiB
Python
75 lines
2.4 KiB
Python
from typing import Dict
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from loguru import logger
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from .anime_seg import AnimeSeg
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from .gfpgan_plugin import GFPGANPlugin
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from .interactive_seg import InteractiveSeg
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from .realesrgan import RealESRGANUpscaler
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from .remove_bg import RemoveBG
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from .restoreformer import RestoreFormerPlugin
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from ..schema import InteractiveSegModel, Device, RealESRGANModel
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def build_plugins(
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enable_interactive_seg: bool,
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interactive_seg_model: InteractiveSegModel,
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interactive_seg_device: Device,
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enable_remove_bg: bool,
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remove_bg_model: str,
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enable_anime_seg: bool,
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enable_realesrgan: bool,
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realesrgan_device: Device,
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realesrgan_model: RealESRGANModel,
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enable_gfpgan: bool,
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gfpgan_device: Device,
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enable_restoreformer: bool,
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restoreformer_device: Device,
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no_half: bool,
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) -> Dict:
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plugins = {}
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if enable_interactive_seg:
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logger.info(f"Initialize {InteractiveSeg.name} plugin")
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plugins[InteractiveSeg.name] = InteractiveSeg(
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interactive_seg_model, interactive_seg_device
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)
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if enable_remove_bg:
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logger.info(f"Initialize {RemoveBG.name} plugin")
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plugins[RemoveBG.name] = RemoveBG(remove_bg_model)
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if enable_anime_seg:
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logger.info(f"Initialize {AnimeSeg.name} plugin")
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plugins[AnimeSeg.name] = AnimeSeg()
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if enable_realesrgan:
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logger.info(
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f"Initialize {RealESRGANUpscaler.name} plugin: {realesrgan_model}, {realesrgan_device}"
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)
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plugins[RealESRGANUpscaler.name] = RealESRGANUpscaler(
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realesrgan_model,
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realesrgan_device,
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no_half=no_half,
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)
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if enable_gfpgan:
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logger.info(f"Initialize {GFPGANPlugin.name} plugin")
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if enable_realesrgan:
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logger.info("Use realesrgan as GFPGAN background upscaler")
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else:
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logger.info(
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f"GFPGAN no background upscaler, use --enable-realesrgan to enable it"
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)
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plugins[GFPGANPlugin.name] = GFPGANPlugin(
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gfpgan_device,
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upscaler=plugins.get(RealESRGANUpscaler.name, None),
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)
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if enable_restoreformer:
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logger.info(f"Initialize {RestoreFormerPlugin.name} plugin")
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plugins[RestoreFormerPlugin.name] = RestoreFormerPlugin(
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restoreformer_device,
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upscaler=plugins.get(RealESRGANUpscaler.name, None),
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)
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return plugins
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