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<div class="flex flex-wrap gap-x-4 gap-y-2 justify-center my-8"><canvas class="border-[1.2px] desktop:mt-[34px] hidden"></canvas>
<div class="flex flex-col items-center "><div id="board-container"></div>
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<button class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-1.5 px-4">diffuse the f rest
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<p class="hidden desktop:inline mt-2 opacity-50">pro tip: upload img by dropping on the canvas
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<div class="mt-2"><label class="inline desktop:hidden border py-1 px-1.5 bg-slate-200 cursor-pointer"><input accept="image/*" style="display: none;" type="file">
upload img
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<article class="prose-sm px-4 md:px-8 lg:px-24 mb-8"><div class="text-center">Stable Diffusion model by [CompVis](https://huggingface.co/CompVis) and [Stability
AI](https://huggingface.co/stabilityai) - Demo by πŸ€— Hugging Face Powered by [πŸ€— Diffusers:
State-of-the-art diffusion models for image and audio generation in
PyTorch](https://github.com/huggingface/diffusers). Based on [notebook by
@psuraj28](https://twitter.com/psuraj28/status/1562039265126670339) Check out [Stable Diffusion
Gradio demo](https://huggingface.co/spaces/stabilityai/stable-diffusion)
</div>
<h3>LICENSE The model is licensed with a [CreativeML Open</h3>
<p>RAIL-M](<a href="https://huggingface.co/spaces/CompVis/stable-diffusion-license" rel="nofollow">https://huggingface.co/spaces/CompVis/stable-diffusion-license</a>) license. The authors claim
no rights on the outputs you generate, you are free to use them and are accountable for their use
which must not go against the provisions set in this license. The license forbids you from sharing
any content that violates any laws, produce any harm to a person, disseminate any personal
information that would be meant for harm, spread misinformation and target vulnerable groups. For
the full list of restrictions please <a href="https://huggingface.co/spaces/CompVis/stable-diffusion-license" rel="nofollow">read the
license</a> ### Biases and content
acknowledgment Despite how impressive being able to turn text into image is, beware to the fact
that this model may output content that reinforces or exacerbates societal biases, as well as
realistic faces, pornography and violence. The model was trained on the <a href="https://laion.ai/blog/laion-5b/" rel="nofollow">LAION-5B
dataset</a>, which scraped non-curated image-text-pairs from the
internet (the exception being the removal of illegal content) and is meant for research purposes.
You can read more in the <a href="https://huggingface.co/CompVis/stable-diffusion-v1-4" rel="nofollow">model card</a></p></article>
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