CompVis

university

CompVis

🤗's Stable Diffusion with 🧨 Diffusers blog.\n

\n\n

\nWe recommend you use Stable Diffusion with 🤗 Diffusers library. You can also use the original CompVis code. There are variants of the weights depending on:\n

The library they are intended for.
The training regime. There are 4 training versions: v1-1 through v1-4. Each one was created from the checkpoint of the previous version, and was trained for additional steps in specific variants of the dataset.\n
\n\n
\nPlease, refer to the details in the following table to choose the weights appropriate for your use.\n
\n\n| Model | Library | Details |\n|-------------------------------------------------------------------------------------------------|---------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------|\n| [stable-diffusion-v1-1](https://huggingface.co/CompVis/stable-diffusion-v1-1) | 🤗 [Diffusers](https://github.com/huggingface/diffusers) | 237k steps at resolution 256x256 on laion2B-en.
194k steps at resolution 512x512 on laion-high-resolution. |\n| [stable-diffusion-v1-2](https://huggingface.co/CompVis/stable-diffusion-v1-2) | 🤗 [Diffusers](https://github.com/huggingface/diffusers) | v1-1 plus:
515k steps at 512x512 on \"laion-improved-aesthetics\". |\n| [stable-diffusion-v1-3](https://huggingface.co/CompVis/stable-diffusion-v1-3) | 🤗 [Diffusers](https://github.com/huggingface/diffusers) | v1-2 plus:
195k steps at 512x512 on \"laion-improved-aesthetics\",
with 10% dropping of text-conditioning. |\n| [stable-diffusion-v1-4](https://huggingface.co/CompVis/stable-diffusion-v1-4) | 🤗 [Diffusers](https://github.com/huggingface/diffusers) | v1-2 plus:
225k steps at 512x512 on \"laion-aesthetics v2 5+\",
with 10% dropping of text conditioning. |\n| [stable-diffusion-v-1-1-original](https://huggingface.co/CompVis/stable-diffusion-v-1-1-original) | CompVis | 237k steps at resolution 256x256 on laion2B-en.
194k steps at resolution 512x512 on laion-high-resolution. |\n| [stable-diffusion-v-1-2-original](https://huggingface.co/CompVis/stable-diffusion-v-1-2-original) | CompVis | v1-1 plus:
515k steps at 512x512 on \"laion-improved-aesthetics\". |\n| [stable-diffusion-v-1-3-original](https://huggingface.co/CompVis/stable-diffusion-v-1-3-original) | CompVis | v1-2 plus:
195k steps at 512x512 on \"laion-improved-aesthetics\",
with 10% dropping of text-conditioning. |\n| [stable-diffusion-v-1-4-original](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) | CompVis | v1-2 plus:
225k steps at 512x512 on \"laion-aesthetics v2 5+\",
with 10% dropping of text conditioning. |\n

","html":"

\nWelcome to CompVis!\n

\n\n

\nWe host public weights for Latent Diffusion and Stable Diffusion models. There are several options to choose from, please check the details below.\n

\n\n\n

\nStable Diffusion Models\n

\n\n

\nStable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion works, please have a look at 🤗's Stable Diffusion with 🧨 Diffusers blog.\n

\n\n

\nWe recommend you use Stable Diffusion with 🤗 Diffusers library. You can also use the original CompVis code. There are variants of the weights depending on:\n

The library they are intended for.

The training regime. There are 4 training versions: v1-1 through v1-4. Each one was created from the checkpoint of the previous version, and was trained for additional steps in specific variants of the dataset.\n

\n\n

\nPlease, refer to the details in the following table to choose the weights appropriate for your use.\n

\n\n

\n\t\n\t\t\n\n\n\n\n\n\t\t\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\t

Model	Library	Details
stable-diffusion-v1-1	🤗 Diffusers	237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution.
stable-diffusion-v1-2	🤗 Diffusers	v1-1 plus: 515k steps at 512x512 on \"laion-improved-aesthetics\".
stable-diffusion-v1-3	🤗 Diffusers	v1-2 plus: 195k steps at 512x512 on \"laion-improved-aesthetics\", with 10% dropping of text-conditioning.
stable-diffusion-v1-4	🤗 Diffusers	v1-2 plus: 225k steps at 512x512 on \"laion-aesthetics v2 5+\", with 10% dropping of text conditioning.
stable-diffusion-v-1-1-original	CompVis	237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution.
stable-diffusion-v-1-2-original	CompVis	v1-1 plus: 515k steps at 512x512 on \"laion-improved-aesthetics\".
stable-diffusion-v-1-3-original	CompVis	v1-2 plus: 195k steps at 512x512 on \"laion-improved-aesthetics\", with 10% dropping of text-conditioning.
stable-diffusion-v-1-4-original	CompVis	v1-2 plus: 225k steps at 512x512 on \"laion-aesthetics v2 5+\", with 10% dropping of text conditioning.

","classNames":"hf-sanitized hf-sanitized-cb2mfr8vKtySYnFLYbe31"},"users":[{"_id":"62cfefa74b3e8dc1e32e38bf","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794439283-noauth.png","isPro":false,"fullname":"Robin Rombach","user":"rromb","type":"user"},{"_id":"624bebf604abc7ebb01789af","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1649143001781-624bebf604abc7ebb01789af.jpeg","isPro":true,"fullname":"Apolinário from multimodal AI art","user":"multimodalart","type":"user"},{"_id":"602e6dee60e3dd96631c906e","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1613655355830-noauth.png","isPro":false,"fullname":"Anton Lozhkov","user":"anton-l","type":"user"},{"_id":"62f2576394fe062ca9adf3d5","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1660049160797-noauth.png","isPro":false,"fullname":"Patrick Esser","user":"pesser","type":"user"},{"_id":"5ec0135ded25d76864d553f1","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1600014820272-5ec0135ded25d76864d553f1.jpeg","isPro":false,"fullname":"Suraj Patil","user":"valhalla","type":"user"},{"_id":"60648fca22959edbc157f153","avatarUrl":"/avatars/180dac7cf85a240fe17c6130ccae123d.svg","isPro":false,"fullname":"Emad Mostaque","user":"stabilite","type":"user"},{"_id":"610bf970bdc6d6300330609a","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1665633390910-610bf970bdc6d6300330609a.png","isPro":false,"fullname":"Katherine Crowson","user":"RiversHaveWings","type":"user"},{"_id":"603d25b75f9d390ab190b777","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1617264212503-603d25b75f9d390ab190b777.jpeg","isPro":true,"fullname":"Pedro Cuenca","user":"pcuenq","type":"user"},{"_id":"6161727f2bae832775ff27ae","avatarUrl":"/avatars/905c3e08d3175d1273ea9bfd9c267a09.svg","isPro":false,"fullname":"Chigozie","user":"chigozie","type":"user"},{"_id":"60347d3660e3dd96631c9093","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60347d3660e3dd96631c9093/B3fuZer5N04tZIAYrLnz4.jpeg","isPro":false,"fullname":"Stella Biderman","user":"stellaathena","type":"user"},{"_id":"5e48005437cb5b49818287a5","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/5e48005437cb5b49818287a5/4uCXGGui-9QifAT4qelxU.png","isPro":false,"fullname":"Leandro von Werra","user":"lvwerra","type":"user"},{"_id":"6303acb87b50dd9d0a3450d2","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6303acb87b50dd9d0a3450d2/7LStln4gUkr6xfdXFPU52.png","isPro":false,"fullname":"Takyon236","user":"Takyon236","type":"user"},{"_id":"611ed40a9beded7c5ab75068","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/611ed40a9beded7c5ab75068/aRbVBmqQFqW6jSaOQcaZt.jpeg","isPro":false,"fullname":"David Marx","user":"dmarx","type":"user"},{"_id":"63465f97ad1ca5ba8bd81c34","avatarUrl":"/avatars/26d7e6b4871d66d6d7fb57e36b817027.svg","isPro":false,"fullname":"Ahmed Jawed","user":"ajawed","type":"user"},{"_id":"635c2c2a7a165601151d3f85","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1666984965757-noauth.png","isPro":false,"fullname":"Yufan Zhou","user":"YfZ","type":"user"},{"_id":"62fb120786456e53345674a4","avatarUrl":"/avatars/6d7aae4ce4d4e02b8a6f94eadec436c4.svg","isPro":false,"fullname":"avaer","user":"Adrians","type":"user"},{"_id":"62f6a8b5ffd6a0853ee55b79","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62f6a8b5ffd6a0853ee55b79/Yx4Q_JZhDVmgUdAlyKlwE.png","isPro":false,"fullname":"John Doe","user":"PartyParrot","type":"user"},{"_id":"62fb4c6b7a577e83ccc98924","avatarUrl":"/avatars/def7595984a4c30ad828d3d95b5bf072.svg","isPro":false,"fullname":"Corentin coKervadec","user":"Corentk","type":"user"},{"_id":"62f3e7a1d3057da2dff35304","avatarUrl":"/avatars/a7394bf4b1c49ad849dfb2e07244b418.svg","isPro":false,"fullname":"Sven Cattell","user":"comathematician","type":"user"},{"_id":"64908ef33c7b190918eb7dbf","avatarUrl":"/avatars/cfdfce384152c5672415c64ad591aa12.svg","isPro":false,"fullname":"BM","user":"bmarino","type":"user"},{"_id":"6447b4daa478b20f175532ba","avatarUrl":"/avatars/d296b9b794b6e801d2290c93130ffa18.svg","isPro":false,"fullname":"Adam Chen","user":"adamchenSAI","type":"user"},{"_id":"6471c12a0c2b5fdaf1f07c45","avatarUrl":"/avatars/6783067212d24d1e716a8b4c64df61b4.svg","isPro":false,"fullname":"Stefan Baumann","user":"stefan-baumann","type":"user"},{"_id":"65ae67bcbff3ae9f331c846a","avatarUrl":"/avatars/6f9572fbfdba105638112386cdc346fa.svg","isPro":false,"fullname":"Kolja Bauer","user":"kolja-b","type":"user"},{"_id":"63a1c8d63c003e409311e3c3","avatarUrl":"/avatars/c6cd546874abd5ee68ed88eff5ee1aa8.svg","isPro":false,"fullname":"Nick Stracke","user":"kliyer","type":"user"},{"_id":"6311d49d41ebdfa5f1196e23","avatarUrl":"/avatars/b9adf7e0d01fa7095e0d4748ada83eb9.svg","isPro":false,"fullname":"Owen Vincent","user":"owenvincent","type":"user"},{"_id":"63dcd7ac22cc06e76a8484ce","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/63dcd7ac22cc06e76a8484ce/4O8NcevQ0ZWhJJ1r4Pbam.jpeg","isPro":false,"fullname":"Vincent Tao Hu","user":"taohu","type":"user"},{"_id":"633b481d0d68f86e2d96ed84","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/633b481d0d68f86e2d96ed84/ACvGaMbeYSYIGiez0jJrE.jpeg","isPro":false,"fullname":"Olga Grebenkova","user":"magistrkoljan","type":"user"},{"_id":"67e56cb2e09a5510a64a1e7f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/nmqIFqhoRhCkKBQTzJI5l.png","isPro":true,"fullname":"Dima Kotovenko","user":"dimakot55","type":"user"},{"_id":"6824d5de900e036e9a6b021f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6824d5de900e036e9a6b021f/nx3TOzkLg7N4RD4EBfsqo.jpeg","isPro":false,"fullname":"Pingchuan Ma","user":"mpc990130","type":"user"},{"_id":"631743719e6b629ba04e8da3","avatarUrl":"/avatars/035f3eeedd25ac5e1626d437e8168857.svg","isPro":false,"fullname":"Thomas Ressler-Antal","user":"tomresan","type":"user"},{"_id":"6276ba3c2d26ac639e5a2b01","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6276ba3c2d26ac639e5a2b01/ULDyT9ijOye7rfXqTWFVG.jpeg","isPro":false,"fullname":"Enrico Shippole","user":"conceptofmind","type":"user"}],"userCount":31,"collections":[],"datasets":[],"models":[{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":0,"gated":false,"id":"CompVis/DisMo","availableInferenceProviders":[],"lastModified":"2025-12-02T07:29:07.000Z","likes":6,"private":false,"repoType":"model","isLikedByUser":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":0,"gated":false,"id":"CompVis/SCFlow","availableInferenceProviders":[],"lastModified":"2025-11-06T12:52:10.000Z","likes":2,"private":false,"repoType":"model","isLikedByUser":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":0,"gated":false,"id":"CompVis/flow-poke-transformer","availableInferenceProviders":[],"lastModified":"2025-10-15T14:00:11.000Z","likes":3,"pipeline_tag":"image-to-image","private":false,"repoType":"model","isLikedByUser":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":0,"gated":false,"id":"CompVis/discrete_interpolants","availableInferenceProviders":[],"lastModified":"2025-02-07T07:51:11.000Z","likes":0,"private":false,"repoType":"model","isLikedByUser":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":2489,"gated":false,"id":"CompVis/cleandift","availableInferenceProviders":[],"lastModified":"2024-12-15T17:16:54.000Z","likes":8,"pipeline_tag":"image-feature-extraction","private":false,"repoType":"model","isLikedByUser":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":664479,"gated":false,"id":"CompVis/stable-diffusion-v1-4","availableInferenceProviders":[],"lastModified":"2023-08-23T21:15:42.000Z","likes":6979,"pipeline_tag":"text-to-image","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":22692,"gated":false,"id":"CompVis/ldm-super-resolution-4x-openimages","availableInferenceProviders":[],"lastModified":"2023-07-05T16:18:48.000Z","likes":127,"private":false,"repoType":"model","isLikedByUser":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":407,"gated":false,"id":"CompVis/stable-diffusion-v1-2","availableInferenceProviders":[],"lastModified":"2023-07-05T16:18:11.000Z","likes":40,"pipeline_tag":"text-to-image","private":false,"repoType":"model","isLikedByUser":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":1315,"gated":false,"id":"CompVis/stable-diffusion-v1-1","availableInferenceProviders":[],"lastModified":"2023-07-05T16:18:08.000Z","likes":81,"pipeline_tag":"text-to-image","private":false,"repoType":"model","isLikedByUser":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"downloads":192,"gated":false,"id":"CompVis/stable-diffusion-v1-3","availableInferenceProviders":[],"lastModified":"2023-07-05T16:17:35.000Z","likes":39,"pipeline_tag":"text-to-image","private":false,"repoType":"model","isLikedByUser":false}],"paperPreviews":[{"_id":"2510.14630","title":"Adapting Self-Supervised Representations as a Latent Space for Efficient\n Generation","id":"2510.14630","thumbnailUrl":"https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2510.14630.png"},{"_id":"2510.12777","title":"What If : Understanding Motion Through Sparse Interactions","id":"2510.12777","thumbnailUrl":"https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2510.12777.png"}],"spaces":[{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"colorFrom":"pink","colorTo":"blue","createdAt":"2025-04-11T13:44:21.000Z","emoji":"🎥","id":"CompVis/EDGS","lastModified":"2025-10-24T10:19:58.000Z","likes":62,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"zero-a10g","requested":"zero-a10g"},"storage":null,"gcTimeout":172800,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"compvis-edgs.hf.space","stage":"READY"}],"sha":"2f762f0a6df31e70e79f3fb9f174c2900f0028fa"},"title":"EDGS","isLikedByUser":false,"ai_short_description":"Generate a 3D model from images or video","ai_category":"3D Modeling","trendingScore":0,"tags":["gradio","region:us"],"featured":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"colorFrom":"yellow","colorTo":"green","createdAt":"2022-07-20T08:54:47.000Z","emoji":"🧨","id":"CompVis/text2img-latent-diffusion","lastModified":"2023-01-04T12:15:34.000Z","likes":61,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"PAUSED","hardware":{"current":null,"requested":"t4-small"},"storage":null,"gcTimeout":900,"errorMessage":"Flagged as abusive","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"compvis-text2img-latent-diffusion.hf.space","stage":"READY"}]},"title":"LDM Text-to-image","isLikedByUser":false,"trendingScore":0,"tags":["gradio","region:us"],"featured":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"colorFrom":"blue","colorTo":"pink","createdAt":"2022-07-18T14:55:04.000Z","emoji":"🧨","id":"CompVis/celeba-latent-diffusion","lastModified":"2022-12-23T12:54:10.000Z","likes":44,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNTIME_ERROR","hardware":{"current":null,"requested":"t4-small"},"storage":null,"gcTimeout":900,"errorMessage":"n send\n r = adapter.send(request, **kwargs)\n File \"/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/huggingface_hub/utils/_http.py\", line 67, in send\n return super().send(request, *args, **kwargs)\n File \"/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/requests/adapters.py\", line 532, in send\n raise ReadTimeout(e, request=request)\nrequests.exceptions.ReadTimeout: (ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: ce2eb9ae-bddc-4fd3-a650-22e55fae18d6)')\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"app.py\", line 8, in \n pipeline = LDMPipeline.from_pretrained(\"CompVis/ldm-celebahq-256\")\n File \"/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/diffusers/pipeline_utils.py\", line 129, in from_pretrained\n cached_folder = snapshot_download(\n File \"/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py\", line 118, in _inner_fn\n return fn(*args, **kwargs)\n File \"/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/huggingface_hub/_snapshot_download.py\", line 306, in snapshot_download\n _inner_hf_hub_download(file)\n File \"/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/huggingface_hub/_snapshot_download.py\", line 283, in _inner_hf_hub_download\n return hf_hub_download(\n File \"/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py\", line 118, in _inner_fn\n return fn(*args, **kwargs)\n File \"/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/huggingface_hub/file_download.py\", line 1371, in hf_hub_download\n raise LocalEntryNotFoundError(\nhuggingface_hub.utils._errors.LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.\n","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"compvis-celeba-latent-diffusion.hf.space","stage":"READY"}]},"title":"LDM Faces Generator","isLikedByUser":false,"trendingScore":0,"tags":["gradio","region:us"],"featured":false},{"author":"CompVis","authorData":{"_id":"62cfeeb73c54a34d508b82a9","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1657794102363-5e3aec01f55e2b62848a5217.png","fullname":"CompVis","name":"CompVis","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1600,"isUserFollowing":false},"colorFrom":"red","colorTo":"indigo","createdAt":"2022-08-22T14:35:40.000Z","emoji":"⚖️","id":"CompVis/stable-diffusion-license","lastModified":"2022-08-22T14:47:55.000Z","likes":1424,"pinned":false,"private":false,"sdk":"static","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":null,"requested":"cpu-basic"},"storage":null,"gcTimeout":86400,"errorMessage":"Static SDK is not supported","replicas":{"requested":1}},"title":"License","isLikedByUser":false,"ai_short_description":"Convert PDFs to HTML","ai_category":"Document Analysis","trendingScore":0,"tags":["static","region:us"],"featured":false}],"buckets":[],"numBuckets":0,"numDatasets":0,"numModels":18,"numSpaces":5,"lastOrgActivities":[],"acceptLanguages":["*"],"canReadRepos":false,"canReadSpaces":false,"blogPosts":[],"currentRepoPage":0,"filters":{},"paperView":false}">

AI & ML interests

Generative approaches for visual synthesis, Invertible deep models for explainable AI, Deep metric and representation learning, self-supervised learning paradigms

Papers

Adapting Self-Supervised Representations as a Latent Space for Efficient Generation

What If : Understanding Motion Through Sparse Interactions

View all Papers

Organization Card

Community About org cards

Welcome to CompVis!

We host public weights for Latent Diffusion and Stable Diffusion models. There are several options to choose from, please check the details below.

Stable Diffusion Models

Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion works, please have a look at 🤗's Stable Diffusion with 🧨 Diffusers blog.

We recommend you use Stable Diffusion with 🤗 Diffusers library. You can also use the original CompVis code. There are variants of the weights depending on:

The library they are intended for.

Please, refer to the details in the following table to choose the weights appropriate for your use.

Model	Library	Details
stable-diffusion-v1-1	🤗 Diffusers	237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution.
stable-diffusion-v1-2	🤗 Diffusers	v1-1 plus: 515k steps at 512x512 on "laion-improved-aesthetics".
stable-diffusion-v1-3	🤗 Diffusers	v1-2 plus: 195k steps at 512x512 on "laion-improved-aesthetics", with 10% dropping of text-conditioning.
stable-diffusion-v1-4	🤗 Diffusers	v1-2 plus: 225k steps at 512x512 on "laion-aesthetics v2 5+", with 10% dropping of text conditioning.
stable-diffusion-v-1-1-original	CompVis	237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution.
stable-diffusion-v-1-2-original	CompVis	v1-1 plus: 515k steps at 512x512 on "laion-improved-aesthetics".
stable-diffusion-v-1-3-original	CompVis	v1-2 plus: 195k steps at 512x512 on "laion-improved-aesthetics", with 10% dropping of text-conditioning.
stable-diffusion-v-1-4-original	CompVis	v1-2 plus: 225k steps at 512x512 on "laion-aesthetics v2 5+", with 10% dropping of text conditioning.