Manjushri commited on
Commit
acef489
1 Parent(s): 97321a0

Update app.py

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Files changed (1) hide show
  1. app.py +3 -2
app.py CHANGED
@@ -30,5 +30,6 @@ gr.Interface(fn=infer, inputs=[
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  gr.Textbox(label = 'Prompt Input Text. 77 Token (Keyword or Symbol) Maximum'),
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  gr.Slider(1, 5, value = 2, step = 1, label = 'Number of Iterations'),
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  gr.Slider(label = "Seed", minimum = 0, maximum = 987654321987654321, step = 1, randomize = True),
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- gr.Slider(label='Strength', minimum = 0.0, maximum = 1, step = .05, value = .5)],
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- outputs='image', title = "Stable Diffusion XL Turbo Image to Image Pipeline CPU", description = "For more information on Stable Diffusion XL 1.0 see https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0 <br><br>Upload an Image (<b>MUST Be .PNG and 512x512 or 768x768</b>) enter a Prompt, or let it just do its Thing, then click submit. 10 Iterations takes about ~900-1200 seconds currently. For more informationon about Stable Diffusion or Suggestions for prompts, keywords, artists or styles see https://github.com/Maks-s/sd-akashic", article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").queue(max_size=5).launch()
 
 
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  gr.Textbox(label = 'Prompt Input Text. 77 Token (Keyword or Symbol) Maximum'),
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  gr.Slider(1, 5, value = 2, step = 1, label = 'Number of Iterations'),
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  gr.Slider(label = "Seed", minimum = 0, maximum = 987654321987654321, step = 1, randomize = True),
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+ gr.Slider(label='Strength', minimum = 0.1, maximum = 1, step = .05, value = .5)],
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+ outputs='image', title = "Stable Diffusion XL Turbo Image to Image Pipeline CPU", description = "For more information on Stable Diffusion XL Turbo see https://huggingface.co/stabilityai/sdxl-turbo <br><br>Upload an Image, Use your Cam, or Paste an Image. Then enter a Prompt, or let it just do its Thing, then click submit. For more informationon about Stable Diffusion or Suggestions for prompts, keywords, artists or styles see https://github.com/Maks-s/sd-akashic",
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+ article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").queue(max_size=10).launch()