Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -417,13 +417,6 @@ class GuiSD:
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type_model_precision=model_precision
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)
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self.model.load_pipe(
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model_name,
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task_name=task,
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vae_model=vae_model if vae_model != "None" else None,
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type_model_precision=model_precision
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)
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if task != "txt2img" and not image_control:
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raise ValueError("No control image found: To use this function, you have to upload an image in 'Image ControlNet/Inpaint/Img2img'")
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@@ -443,11 +436,18 @@ class GuiSD:
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upscaler_model = f"./upscalers/{url_upscaler.split('/')[-1]}"
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if textual_inversion and self.model.class_name == "StableDiffusionXLPipeline":
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print("No Textual inversion for SDXL")
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logging.getLogger("ultralytics").setLevel(logging.INFO if adetailer_verbose else logging.ERROR)
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adetailer_params_A = {
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"face_detector_ad" : face_detector_ad_a,
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"person_detector_ad" : person_detector_ad_a,
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type_model_precision=model_precision
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)
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if task != "txt2img" and not image_control:
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raise ValueError("No control image found: To use this function, you have to upload an image in 'Image ControlNet/Inpaint/Img2img'")
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upscaler_model = f"./upscalers/{url_upscaler.split('/')[-1]}"
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logging.getLogger("ultralytics").setLevel(logging.INFO if adetailer_verbose else logging.ERROR)
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self.model.load_pipe(
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model_name,
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task_name=task,
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vae_model=vae_model if vae_model != "None" else None,
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type_model_precision=model_precision
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)
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if textual_inversion and self.model.class_name == "StableDiffusionXLPipeline":
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print("No Textual inversion for SDXL")
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adetailer_params_A = {
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"face_detector_ad" : face_detector_ad_a,
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"person_detector_ad" : person_detector_ad_a,
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