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Merge pull request #1274 from patriceac/beta

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Support for CodeFormer face restoration
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cmdr2 2023-06-01 15:28:25 +05:30 committed by GitHub
commit 32c4f10626
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2 changed files with 9 additions and 5 deletions
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10
ui/easydiffusion/model_manager.py
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@ -113,15 +113,17 @@ def resolve_model_to_use(model_name: str = None, model_type: str = None):
def reload_models_if_necessary(context: Context, task_data: TaskData):
use_upscale_lower = task_data.use_upscale.lower() if task_data.use_upscale else ""
face_fix_lower = task_data.use_face_correction.lower() if task_data.use_face_correction else ""
upscale_lower = task_data.use_upscale.lower() if task_data.use_upscale else ""
model_paths_in_req = {
"stable-diffusion": task_data.use_stable_diffusion_model,
"vae": task_data.use_vae_model,
"hypernetwork": task_data.use_hypernetwork_model,
"gfpgan": task_data.use_face_correction,
"realesrgan": task_data.use_upscale if "realesrgan" in use_upscale_lower else None,
"latent_upscaler": True if task_data.use_upscale == "latent_upscaler" else None,
"codeformer": task_data.use_face_correction if "codeformer" in face_fix_lower else None,
"gfpgan": task_data.use_face_correction if "gfpgan" in face_fix_lower else None,
"realesrgan": task_data.use_upscale if "realesrgan" in upscale_lower else None,
"latent_upscaler": True if "latent_upscaler" in upscale_lower else None,
"nsfw_checker": True if task_data.block_nsfw else None,
"lora": task_data.use_lora_model,
}

4
ui/easydiffusion/renderer.py
View File

@ -160,7 +160,9 @@ def filter_images(req: GenerateImageRequest, task_data: TaskData, images: list,
filter_params = {}
if task_data.block_nsfw:
filters_to_apply.append("nsfw_checker")
if task_data.use_face_correction and "gfpgan" in task_data.use_face_correction.lower():
if task_data.use_face_correction and "codeformer" in task_data.use_face_correction.lower():
filters_to_apply.append("codeformer")
elif task_data.use_face_correction and "gfpgan" in task_data.use_face_correction.lower():
filters_to_apply.append("gfpgan")
if task_data.use_upscale:
if "realesrgan" in task_data.use_upscale.lower():