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**June 22, 2023**
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- We are releasing two new diffusion models:
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- We are releasing two new diffusion models for research purposes:
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- `SD-XL 0.9-base`: The base model was trained on a variety of aspect ratios on images with resolution 1024^2. The base model uses [OpenCLIP-ViT/G](https://github.com/mlfoundations/open_clip) and [CLIP-ViT/L](https://github.com/openai/CLIP/tree/main) for text encoding whereas the refiner model only uses the OpenCLIP model.
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- `SD-XL 0.9-refiner`: The refiner has been trained to denoise small noise levels of high quality data and as such is not expected to work as a text-to-image model; instead, it should only be used as an image-to-image model.
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If you would like to access these models for your research, please apply using one of the following links:
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[SDXL-0.9-Base model](https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9), and [SDXL-0.9-Refiner](https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-0.9).
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This means that you can apply for any of the two links - and if you are granted - you can access both.
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Please log in to your HuggingFace Account with your organization email to request access.
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**We plan to do a full release soon (July).**
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## The codebase

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