advokat commited on
Commit
525ab06
1 Parent(s): 5a195df

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -7,7 +7,7 @@ from diffusers import DiffusionPipeline
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  import torch
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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- model_repo_id = "stabilityai/sdxl-turbo" # Replace to the model you would like to use
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  if torch.cuda.is_available():
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  torch_dtype = torch.float16
@@ -18,7 +18,7 @@ pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
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  pipe = pipe.to(device)
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  MAX_SEED = np.iinfo(np.int32).max
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- MAX_IMAGE_SIZE = 1024
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  @spaces.GPU #[uncomment to use ZeroGPU]
@@ -105,7 +105,7 @@ with gr.Blocks(css=css) as demo:
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  minimum=256,
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  maximum=MAX_IMAGE_SIZE,
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  step=32,
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- value=1024, # Replace with defaults that work for your model
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  )
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  height = gr.Slider(
@@ -113,7 +113,7 @@ with gr.Blocks(css=css) as demo:
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  minimum=256,
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  maximum=MAX_IMAGE_SIZE,
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  step=32,
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- value=1024, # Replace with defaults that work for your model
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  )
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  with gr.Row():
@@ -122,7 +122,7 @@ with gr.Blocks(css=css) as demo:
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  minimum=0.0,
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  maximum=10.0,
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  step=0.1,
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- value=0.0, # Replace with defaults that work for your model
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  )
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  num_inference_steps = gr.Slider(
@@ -130,7 +130,7 @@ with gr.Blocks(css=css) as demo:
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  minimum=1,
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  maximum=50,
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  step=1,
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- value=2, # Replace with defaults that work for your model
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  )
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  gr.Examples(examples=examples, inputs=[prompt])
 
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  import torch
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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+ model_repo_id = "advokat/Illustrious_x_Pony" # Replace to the model you would like to use
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  if torch.cuda.is_available():
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  torch_dtype = torch.float16
 
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  pipe = pipe.to(device)
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  MAX_SEED = np.iinfo(np.int32).max
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+ MAX_IMAGE_SIZE = 2048
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  @spaces.GPU #[uncomment to use ZeroGPU]
 
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  minimum=256,
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  maximum=MAX_IMAGE_SIZE,
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  step=32,
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+ value=2024, # Replace with defaults that work for your model
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  )
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  height = gr.Slider(
 
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  minimum=256,
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  maximum=MAX_IMAGE_SIZE,
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  step=32,
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+ value=2024, # Replace with defaults that work for your model
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  )
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  with gr.Row():
 
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  minimum=0.0,
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  maximum=10.0,
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  step=0.1,
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+ value=7.5, # Replace with defaults that work for your model
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  )
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  num_inference_steps = gr.Slider(
 
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  minimum=1,
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  maximum=50,
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  step=1,
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+ value=28, # Replace with defaults that work for your model
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  )
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  gr.Examples(examples=examples, inputs=[prompt])