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Runtime error
Update app.py
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app.py
CHANGED
@@ -206,7 +206,7 @@ def infer(
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# Инициализация ControlNet
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controlnet_model_path = "lllyasviel/control_v11f1p_sd15_depth"
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controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=
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generator = torch.Generator(device).manual_seed(seed)
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@@ -294,7 +294,7 @@ def infer(
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# Инициализация ControlNet
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controlnet_model_path = "lllyasviel/control_v11f1p_sd15_depth"
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controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=
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generator = torch.Generator(device).manual_seed(seed)
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@@ -394,7 +394,7 @@ def infer(
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print('control_mode = ', control_mode)
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controlnet_model_path = "lllyasviel/sd-controlnet-canny"
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controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=
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generator = torch.Generator(device).manual_seed(seed)
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@@ -434,7 +434,7 @@ def infer(
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depth_map = get_depth_map(control_image, depth_estimator).unsqueeze(0).half().to(device)
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controlnet_model_path = "lllyasviel/control_v11f1p_sd15_depth"
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controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=
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generator = torch.Generator(device).manual_seed(seed)
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# Инициализация ControlNet
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controlnet_model_path = "lllyasviel/control_v11f1p_sd15_depth"
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controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=torch_dtype)
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generator = torch.Generator(device).manual_seed(seed)
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# Инициализация ControlNet
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controlnet_model_path = "lllyasviel/control_v11f1p_sd15_depth"
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controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=torch_dtype)
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generator = torch.Generator(device).manual_seed(seed)
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print('control_mode = ', control_mode)
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controlnet_model_path = "lllyasviel/sd-controlnet-canny"
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controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=torch_dtype, use_safetensors=True)
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generator = torch.Generator(device).manual_seed(seed)
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depth_map = get_depth_map(control_image, depth_estimator).unsqueeze(0).half().to(device)
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controlnet_model_path = "lllyasviel/control_v11f1p_sd15_depth"
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controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=torch_dtype, use_safetensors=True)
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generator = torch.Generator(device).manual_seed(seed)
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