AlGe commited on
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7b9ae35
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1 Parent(s): 0686cd7

Update app.py

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Files changed (1) hide show
  1. app.py +2 -1
app.py CHANGED
@@ -5,9 +5,10 @@ import gradio as gr
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  client = Client("radames/Enhance-This-HiDiffusion-SDXL")
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  print(client.view_api())
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  # Define your interface function
 
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  def my_interface(input_image, prompt="This is a beautiful scenery", negative_prompt="blurry, ugly, duplicate, poorly drawn, deformed, mosaic", seed=1415926535897932, guidance_scale=8.5, scale=2, controlnet_conditioning_scale=0.5, strength=1.0, controlnet_start=0.0, controlnet_end=1.0, guassian_sigma=2.0, intensity_threshold=3):
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  # Call the other space's predict function
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- result = client.predict(input_image, prompt, negative_prompt, seed, guidance_scale, scale, controlnet_conditioning_scale, strength, controlnet_start, controlnet_end, guassian_sigma, intensity_threshold, api_name="predict")
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  # Return only the first image from the result
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  return result[0][0]
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  client = Client("radames/Enhance-This-HiDiffusion-SDXL")
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  print(client.view_api())
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  # Define your interface function
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+
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  def my_interface(input_image, prompt="This is a beautiful scenery", negative_prompt="blurry, ugly, duplicate, poorly drawn, deformed, mosaic", seed=1415926535897932, guidance_scale=8.5, scale=2, controlnet_conditioning_scale=0.5, strength=1.0, controlnet_start=0.0, controlnet_end=1.0, guassian_sigma=2.0, intensity_threshold=3):
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  # Call the other space's predict function
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+ result = client.predict(input_image, prompt, negative_prompt, seed, guidance_scale, scale, controlnet_conditioning_scale, strength, controlnet_start, controlnet_end, guassian_sigma, intensity_threshold, api_name="/predict")
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  # Return only the first image from the result
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  return result[0][0]
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