Manjushri commited on
Commit
eed8e9b
·
1 Parent(s): 0fbd92e

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -45,11 +45,11 @@ def genie (prompt, negative_prompt, height, width, scale, steps, seed, upscaling
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  if upscaling == 'Yes':
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  image = refiner(prompt=prompt, prompt_2=prompt_2, negative_prompt=negative_prompt, negative_prompt_2=negative_prompt_2, image=int_image).images[0]
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  upscaled = upscaler(prompt=prompt, negative_prompt=negative_prompt, image=image, num_inference_steps=5, guidance_scale=0).images[0]
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- #torch.cuda.empty_cache()
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  return (image, upscaled)
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  else:
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  image = refiner(prompt=prompt, prompt_2=prompt_2, negative_prompt=negative_prompt, negative_prompt_2=negative_prompt_2, image=int_image).images[0]
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- #torch.cuda.empty_cache()
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  return (image, image)
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  gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit. A Token is Any Word, Number, Symbol, or Punctuation. Everything Over 77 Will Be Truncated!'),
 
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  if upscaling == 'Yes':
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  image = refiner(prompt=prompt, prompt_2=prompt_2, negative_prompt=negative_prompt, negative_prompt_2=negative_prompt_2, image=int_image).images[0]
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  upscaled = upscaler(prompt=prompt, negative_prompt=negative_prompt, image=image, num_inference_steps=5, guidance_scale=0).images[0]
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+ torch.cuda.empty_cache()
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  return (image, upscaled)
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  else:
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  image = refiner(prompt=prompt, prompt_2=prompt_2, negative_prompt=negative_prompt, negative_prompt_2=negative_prompt_2, image=int_image).images[0]
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+ torch.cuda.empty_cache()
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  return (image, image)
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  gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit. A Token is Any Word, Number, Symbol, or Punctuation. Everything Over 77 Will Be Truncated!'),