Lifeinhockey commited on
Commit
e9e6a73
·
verified ·
1 Parent(s): 069e0a3

Update app.py

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Files changed (1) hide show
  1. app.py +5 -7
app.py CHANGED
@@ -108,7 +108,7 @@ def infer(
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  width=512,
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  height=512,
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  num_inference_steps=50,
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- model='stable-diffusion-v1-5/stable-diffusion-v1-5',
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  seed=4,
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  guidance_scale=7.5,
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  lora_scale=0.7,
@@ -299,10 +299,8 @@ def infer(
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  generator = torch.Generator(device).manual_seed(seed)
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  # Преобразование изображений для IP-Adapter (размер 224x224)
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- # ip_source_image = preprocess_image(ip_source_image, width, height, resize_to_224=True)
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- # ip_adapter_image = preprocess_image(ip_adapter_image, width, height, resize_to_224=True)
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- ip_source_image = preprocess_image(ip_source_image, width, height)
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- ip_adapter_image = preprocess_image(ip_adapter_image, width, height)
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  pipe_ip_adapter = StableDiffusionControlNetPipeline.from_pretrained(
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  model_default,
@@ -405,7 +403,7 @@ def infer(
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  generator = torch.Generator(device).manual_seed(seed)
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  pipe_controlnet = StableDiffusionControlNetPipeline.from_pretrained(
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- "stable-diffusion-v1-5/stable-diffusion-v1-5",
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  controlnet=controlnet,
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  torch_dtype=torch_dtype,
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  use_safetensors=True
@@ -445,7 +443,7 @@ def infer(
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  generator = torch.Generator(device).manual_seed(seed)
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  pipe_controlnet = StableDiffusionControlNetImg2ImgPipeline.from_pretrained(
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- "stable-diffusion-v1-5/stable-diffusion-v1-5",
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  controlnet=controlnet,
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  torch_dtype=torch_dtype,
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  use_safetensors=True
 
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  width=512,
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  height=512,
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  num_inference_steps=50,
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+ model=model_default, #'stable-diffusion-v1-5/stable-diffusion-v1-5',
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  seed=4,
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  guidance_scale=7.5,
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  lora_scale=0.7,
 
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  generator = torch.Generator(device).manual_seed(seed)
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  # Преобразование изображений для IP-Adapter (размер 224x224)
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+ ip_source_image = preprocess_image(ip_source_image, width, height, resize_to_224=True)
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+ ip_adapter_image = preprocess_image(ip_adapter_image, width, height, resize_to_224=True)
 
 
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  pipe_ip_adapter = StableDiffusionControlNetPipeline.from_pretrained(
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  model_default,
 
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  generator = torch.Generator(device).manual_seed(seed)
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  pipe_controlnet = StableDiffusionControlNetPipeline.from_pretrained(
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+ model_default, #"stable-diffusion-v1-5/stable-diffusion-v1-5",
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  controlnet=controlnet,
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  torch_dtype=torch_dtype,
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  use_safetensors=True
 
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  generator = torch.Generator(device).manual_seed(seed)
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  pipe_controlnet = StableDiffusionControlNetImg2ImgPipeline.from_pretrained(
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+ model_default, #"stable-diffusion-v1-5/stable-diffusion-v1-5",
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  controlnet=controlnet,
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  torch_dtype=torch_dtype,
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  use_safetensors=True