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Update app.py
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app.py
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@@ -162,15 +162,20 @@ h1, h2 {
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with gr.Blocks(css=css) as demo:
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gr.Markdown(
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"""
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# β‘ FlashDiffusion: FlashLoRA β‘
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"""
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gr.Markdown(
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"If you enjoy
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)
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gr_sdxl_loras = gr.State(value=sdxl_loras_raw)
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outputs=[user_lora_selector, pre_prompt],
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gr.Markdown("**Disclaimer:**")
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gr.Markdown(
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"
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)
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demo.queue().launch()
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with gr.Blocks(css=css) as demo:
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gr.Markdown(
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"""
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# β‘ FlashDiffusion: Araminta K's FlashLoRA Showcase β‘
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This interactive demo showcases [Araminta K's models](https://huggingface.co/alvdansen) using [Flash Diffusion](https://gojasper.github.io/flash-diffusion-project/) technology.
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## Acknowledgments
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- Original Flash Diffusion technology by the Jasper AI team
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- Based on the paper: [Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation](http://arxiv.org/abs/2406.02347) by ClΓ©ment Chadebec, Onur Tasar, Eyal Benaroche and Benjamin Aubin
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- Models showcased here are created by Araminta K at Alvdansen Labs
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Explore the power of FlashLoRA with Araminta K's unique artistic styles!
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"""
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gr.Markdown(
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"If you enjoy this showcase, please support open-source development by giving a β to the Flash Diffusion repo: [![GitHub Stars](https://img.shields.io/github/stars/gojasper/flash-diffusion?style=social)](https://github.com/gojasper/flash-diffusion)"
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)
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gr_sdxl_loras = gr.State(value=sdxl_loras_raw)
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outputs=[user_lora_selector, pre_prompt],
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)
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gr.Markdown(
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"""
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## Unleash Your Creativity!
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This showcase brings together the speed of Flash Diffusion and the artistic flair of Araminta K's models.
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Craft your prompts, adjust the settings, and watch as AI brings your ideas to life in stunning detail.
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Remember to use this tool ethically and respect copyright and individual privacy.
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Enjoy exploring these unique artistic styles!
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**Disclaimer:**
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This demo is for research purposes only. Users are solely responsible for any content they create, and it is their obligation to ensure that it adheres to appropriate and ethical standards.
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"""
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demo.queue().launch()
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