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Dagfinn1962
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Parent(s):
07826b3
Update app.py
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app.py
CHANGED
@@ -1,31 +1,34 @@
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from diffusers import StableDiffusionXLPipeline
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import torch
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from gradio import Interface, Image, Dropdown, Slider
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import gradio as gr
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import spaces
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model_id = "RunDiffusion/Juggernaut-X-v10"
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pipe = StableDiffusionXLPipeline.from_pretrained(model_id, torch_dtype=torch.
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pipe = pipe.to("
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image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=guidance_scale).images[0]
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return image
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#duplicate_button = gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
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gradio_interface = Interface(
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fn=text_to_image,
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allow_duplication=False,
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inputs=[
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gr.Textbox(label="Prompt", lines=
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gr.Textbox(label="Negative Prompt", lines=
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gr.Slider(minimum=1, maximum=65, value=50, label="Steps", step=1),
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gr.Slider(minimum=1, maximum=20, value=7.5, label="Guidance Scale", step=0.1)
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],
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outputs=Image(type="pil", show_download_button=True),
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examples= [" hyper realistic , detailed , real person , very pretty naked Japanese 18 yo girl, looking at the viewer, ashamed, (smile:0.7), textured fair skin, tight skirt, She is standing up in an open-air bath in a Japanese hot spring, medium breasts , skinny but fit , 8k , Leica quality , masterpiece , "],
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cache_examples=False,
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theme=gr.themes.Soft()
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)
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from diffusers import StableDiffusionXLPipeline
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import torch
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import gradio as gr
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# Load the model with forced download
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model_id = "RunDiffusion/Juggernaut-X-v10"
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pipe = StableDiffusionXLPipeline.from_pretrained(model_id, torch_dtype=torch.float32, force_download=True)
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pipe = pipe.to("cpu")
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def text_to_image(prompt, negative_prompt, steps, guidance_scale, add_4k_masterpiece):
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if add_4k_masterpiece:
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prompt += ", 4k, (masterpiece)"
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image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=guidance_scale).images[0]
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return image
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gradio_interface = gr.Interface(
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fn=text_to_image,
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inputs=[
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gr.Textbox(label="Prompt", lines=2, placeholder="Enter your prompt here..."),
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gr.Textbox(label="Negative Prompt", lines=2, placeholder="What to exclude from the image..."),
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gr.Slider(minimum=1, maximum=65, value=50, label="Steps", step=1),
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gr.Slider(minimum=1, maximum=20, value=7.5, label="Guidance Scale", step=0.1),
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gr.Checkbox(label="Add recommended prompt items (4k, masterpiece)", value=False)
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],
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outputs=gr.Image(type="pil", show_download_button=True),
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examples=[
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[" hyper realistic , detailed , real person , very pretty naked Japanese 18 yo girl, looking at the viewer, ashamed, (smile:0.7), textured fair skin, tight skirt, She is standing up in an open-air bath in a Japanese hot spring, medium breasts , skinny but fit , 8k , Leica quality , masterpiece , , 4k, high quality, (masterpiece)", "worst quality, low quality, bad anatomy, bad hands, missing fingers, fewer digits, source_furry, source_pony, source_cartoon,3d, blurry,", 60, 9.5, False],
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],
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cache_examples=False,
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theme=gr.themes.Soft()
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)
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# Launch the Gradio app with share=True
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gradio_interface.launch(share=True)
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