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stable-diffusion-2

sd2-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Image generation

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This model card focuses on the model associated with the Stable Diffusion v2-1 model, codebase available here. This `stable-diffusion-2-1` model is fine-tuned from stable-diffusion-2 (`768-v-ema.ckpt`) with an additional 55k steps on the same dataset (with `punsafe=0.1`), and then fine-tuned for another 155k extra steps with `punsafe=0.98`. @InProceedings{Rombach_2022_CVPR, author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj\"orn}, title = {High-Resolution Image Synthesis With Latent Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10684-10695} }

Image generation

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stable-diffusion-2-1-base

sd2-community

This model card focuses on the model associated with the Stable Diffusion v2-1-base model. This `stable-diffusion-2-1-base` model fine-tunes stable-diffusion-2-base (`512-base-ema.ckpt`) with 220k extra steps taken, with `punsafe=0.98` on the same dataset. - Use it with the `stablediffusion` repository: download the `v2-1_512-ema-pruned.ckpt` here. - Use it with 🧨 `diffusers`

Image generation

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stable-diffusion-2-1-unclip

sd2-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Image generation

Input Text→ Output Image

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stable-diffusion-2-base

sd2-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Image generation

Input Text→ Output Image

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stable-diffusion-2-depth

sd2-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Category pending

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stable-diffusion-2-inpainting

sd2-community

This `stable-diffusion-2-inpainting` model is resumed from stable-diffusion-2-base (`512-base-ema.ckpt`) and trained for another 200k steps. Follows the mask-generation strategy presented in LAMA which, in combination with the latent VAE representations of the masked image, are used as an additional conditioning. @InProceedings{Rombach_2022_CVPR, author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj\"orn}, title = {High-Resolution Image Synthesis With Latent Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10684-10695} } Using the 🤗's Diffusers library to run Stable Diffusion 2 inpainting in a simple and efficient manner.

Image editing

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Explore AI models 7

stable-diffusion-2

stable-diffusion-2-1

stable-diffusion-2-1-base

stable-diffusion-2-1-unclip

stable-diffusion-2-base

stable-diffusion-2-depth

stable-diffusion-2-inpainting

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