65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
from __future__ import annotations
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import logging
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import torch
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from modules import (
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devices,
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errors,
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face_restoration,
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face_restoration_utils,
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modelloader,
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shared,
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)
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logger = logging.getLogger(__name__)
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model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth'
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model_download_name = 'codeformer-v0.1.0.pth'
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# used by e.g. postprocessing_codeformer.py
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codeformer: face_restoration.FaceRestoration | None = None
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class FaceRestorerCodeFormer(face_restoration_utils.CommonFaceRestoration):
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def name(self):
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return "CodeFormer"
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def load_net(self) -> torch.Module:
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for model_path in modelloader.load_models(
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model_path=self.model_path,
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model_url=model_url,
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command_path=self.model_path,
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download_name=model_download_name,
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ext_filter=['.pth'],
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):
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return modelloader.load_spandrel_model(
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model_path,
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device=devices.device_codeformer,
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expected_architecture='CodeFormer',
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).model
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raise ValueError("No codeformer model found")
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def get_device(self):
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return devices.device_codeformer
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def restore(self, np_image, w: float | None = None):
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if w is None:
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w = getattr(shared.opts, "code_former_weight", 0.5)
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def restore_face(cropped_face_t):
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assert self.net is not None
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return self.net(cropped_face_t, w=w, adain=True)[0]
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return self.restore_with_helper(np_image, restore_face)
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def setup_model(dirname: str) -> None:
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global codeformer
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try:
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codeformer = FaceRestorerCodeFormer(dirname)
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shared.face_restorers.append(codeformer)
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except Exception:
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errors.report("Error setting up CodeFormer", exc_info=True)
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