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<!DOCTYPE html>
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	<div class="flex flex-col items-center "><div id="board-container"></div>
		<div><div class="flex gap-x-2 mt-3 items-center justify-center "><input type="text" class="border-2 py-1" placeholder="Add prompt" value="">
				<button class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-1.5 px-4">diffuse the f rest
				</button></div>
			<p class="no-hover:hidden mt-2 opacity-50">pro tip: upload img by pasting OR dropping on the canvas
			</p>
			<div class="mt-2"><label class="with-hover:hidden border py-1 px-1.5 bg-slate-200 cursor-pointer"><input accept="image/*" style="display: none;" type="file">
					upload img
				</label></div></div></div></div>
<article class="prose-sm px-24 mb-8"><div class="text-center"><p>Model by <a href="https://huggingface.co/CompVis" rel="nofollow">CompVis</a> and <a href="https://huggingface.co/stabilityai" rel="nofollow">Stability AI</a> - Demo by 🤗 Hugging Face</p>
<p>Powered by <a href="https://github.com/huggingface/diffusers" rel="nofollow">🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch</a>. Based on <a href="https://twitter.com/psuraj28/status/1562039265126670339" rel="nofollow">notebook by @psuraj28</a></p></div>
<h3>LICENSE</h3>
<p>The model is licensed with a <a href="https://huggingface.co/spaces/CompVis/stable-diffusion-license" rel="nofollow">CreativeML Open RAIL-M</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></p>
<h3>Biases and content acknowledgment</h3>
<p>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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