Text-to-Image
stable-diffusion
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@@ -17,11 +17,11 @@ For the first version 4 model checkpoints are released.
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  - **stable-diffusion-v1-1**: The checkpoint is randomely initialized and has been trained on 237,000 steps at resolution `256x256` on [laion2B-en](https://huggingface.co/datasets/laion/laion2B-en).
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  194,000 steps at resolution `512x512` on [laion-high-resolution](https://huggingface.co/datasets/laion/laion-high-resolution) (170M examples from LAION-5B with resolution `>= 1024x1024`).
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- - **stable-diffusion-v1-2** (https://huggingface.co/CompVis/stable-diffusion-v1-2): The checkpoint is resumed training from `stable-diffusion-v1-1`.
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  515,000 steps at resolution `512x512` on "laion-improved-aesthetics" (a subset of laion2B-en,
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  filtered to images with an original size `>= 512x512`, estimated aesthetics score `> 5.0`, and an estimated watermark probability `< 0.5`. The watermark estimate is from the LAION-5B metadata, the aesthetics score is estimated using an [improved aesthetics estimator](https://github.com/christophschuhmann/improved-aesthetic-predictor)).
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- - **stable-diffusion-v1-3** (https://huggingface.co/CompVis/stable-diffusion-v1-3): The checkpoint is resumed training from `stable-diffusion-v1-2`. 195,000 steps at resolution `512x512` on "laion-improved-aesthetics" and 10 % dropping of the text-conditioning to improve [classifier-free guidance sampling](https://arxiv.org/abs/2207.12598)
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- - **stable-diffusion-v1-4** (https://huggingface.co/CompVis/stable-diffusion-v1-4) The checkpoint is resumed training.
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  ### Model Access
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  - **stable-diffusion-v1-1**: The checkpoint is randomely initialized and has been trained on 237,000 steps at resolution `256x256` on [laion2B-en](https://huggingface.co/datasets/laion/laion2B-en).
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  194,000 steps at resolution `512x512` on [laion-high-resolution](https://huggingface.co/datasets/laion/laion-high-resolution) (170M examples from LAION-5B with resolution `>= 1024x1024`).
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+ - **stable-diffusion-v1-2**: The checkpoint is resumed training from `stable-diffusion-v1-1`.
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  515,000 steps at resolution `512x512` on "laion-improved-aesthetics" (a subset of laion2B-en,
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  filtered to images with an original size `>= 512x512`, estimated aesthetics score `> 5.0`, and an estimated watermark probability `< 0.5`. The watermark estimate is from the LAION-5B metadata, the aesthetics score is estimated using an [improved aesthetics estimator](https://github.com/christophschuhmann/improved-aesthetic-predictor)).
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+ - **stable-diffusion-v1-3**: The checkpoint is resumed training from `stable-diffusion-v1-2`. 195,000 steps at resolution `512x512` on "laion-improved-aesthetics" and 10 % dropping of the text-conditioning to improve [classifier-free guidance sampling](https://arxiv.org/abs/2207.12598)
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+ - **stable-diffusion-v1-4**: **Todo..**
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  ### Model Access
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