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README.md
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---
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title:
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emoji: 🛕🛕
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colorFrom: green
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colorTo: blue
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned:
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- Yntec/Diffusion80XX
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- Yntec/HuggingfaceDiffusion
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short_description: Compare up to 6 image models!
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: Huggingface Diffusion
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emoji: 🛕🛕
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colorFrom: green
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colorTo: blue
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sdk: gradio
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sdk_version: 5.0.1
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app_file: app.py
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pinned: true
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short_description: Compare 909+ AI Art Models 6 at a time!
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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"""
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with gr.Blocks(theme='
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with gr.Column(scale=2):
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with gr.Group():
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txt_input = gr.Textbox(label='Your prompt:', lines=4)
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with gr.Group():
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with gr.Row():
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output = [gr.Image(label=m, show_download_button=True, elem_classes="output",
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interactive=False,
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visible=True) for m in default_models]
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current_models = [gr.Textbox(m, visible=False) for m in default_models]
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with gr.Group():
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with gr.Row():
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output2 = [gr.Image(label='', show_download_button=True, elem_classes="output",
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interactive=False,
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show_share_button=False, show_label=False) for _ in range(max_images)]
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with gr.Column(scale=2):
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gr.Markdown("Based on the [TestGen](https://huggingface.co/spaces/derwahnsinn/TestGen) Space by derwahnsinn, the [SpacIO](https://huggingface.co/spaces/RdnUser77/SpacIO_v1) Space by RdnUser77 and Omnibus's Maximum Multiplier!")
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demo.queue(default_concurrency_limit=200, max_size=200)
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demo.launch(show_api=False, max_threads=400)
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# https://github.com/gradio-app/gradio/issues/6339
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"""
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with gr.Blocks(theme='NoCrypt/miku@>=1.2.2', fill_width=True, css=CSS) as demo:
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gr.HTML(
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"""
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<div>
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<p> <center>For simultaneous generations without hidden queue check out <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>! For more options like single model x6 check out <a href="https://huggingface.co/spaces/John6666/Diffusion80XX4sg">Diffusion80XX4sg</a> by John6666!</center>
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</p></div>
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"""
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)
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with gr.Tab('Huggingface Diffusion'):
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with gr.Column(scale=2):
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with gr.Group():
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txt_input = gr.Textbox(label='Your prompt:', lines=4)
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with gr.Group():
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with gr.Row():
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output = [gr.Image(label=m, show_download_button=True, elem_classes="output",
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interactive=False, width=112, height=112, show_share_button=False, format="png",
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visible=True) for m in default_models]
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current_models = [gr.Textbox(m, visible=False) for m in default_models]
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with gr.Group():
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with gr.Row():
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output2 = [gr.Image(label='', show_download_button=True, elem_classes="output",
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interactive=False, width=112, height=112, visible=True, format="png",
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show_share_button=False, show_label=False) for _ in range(max_images)]
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with gr.Column(scale=2):
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gr.Markdown("Based on the [TestGen](https://huggingface.co/spaces/derwahnsinn/TestGen) Space by derwahnsinn, the [SpacIO](https://huggingface.co/spaces/RdnUser77/SpacIO_v1) Space by RdnUser77 and Omnibus's Maximum Multiplier!")
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#demo.queue(default_concurrency_limit=200, max_size=200)
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demo.launch(show_api=False, max_threads=400)
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# https://github.com/gradio-app/gradio/issues/6339
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