Stable Diffusion
v1.5
The main model is v1-5-pruned-emaonly.ckpt, meaning it only has EMA weights.
Torrent
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Web
Download from HuggingFace. Fast, global CDN but you need to login and share your contact information with the repository.
https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt
Full EMA models here.
Stable Diffusion Inpainting
A model designed specifically for inpainting, based off sd-v1-5.ckpt. For inpainting, the UNet has 5 additional input channels (4 for the encoded masked-image and 1 for the mask itself) whose weights were zero-initialized after restoring the non-inpainting checkpoint. During training, synthetic masks were generated and 25% of the image was masked.
https://github.com/runwayml/stable-diffusion
Torrent
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HuggingFace
https://huggingface.co/runwayml/stable-diffusion-inpainting/resolve/main/sd-v1-5-inpainting.ckpt
v1.4
Torrent
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Web
Download from HuggingFace. Fast, global CDN but you need to login and share your contact information with the repository.
https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt
Alternatively, you could use this Google Drive link that the author of the WebUI shared:
Google Drive
https://drive.google.com/file/d/1wHFgl0ivCmIZv88hVZXkb8oy9qCuaBGA/view
VAE
StabilityAI has relased two autoencoders for Stable Diffusion.
https://huggingface.co/stabilityai/sd-vae-ft-mse-original#improved-autoencoders
ft-EMA
Resumed from the original kl-f8 VAE checkpoint, trained for 313198 steps and uses EMA weights.
https://huggingface.co/stabilityai/sd-vae-ft-ema-original/resolve/main/vae-ft-ema-560000-ema-pruned.ckpt
ft-MSE
Resumed from ft-EMA and uses EMA weight. Trained for another 280k steps using a re-weighted loss, with more emphasis on MSE reconstruction (producing somewhat “smoother” outputs).
https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt