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@@ -11,13 +11,13 @@ Acceleration of AIGC (AI-Generated Content) models such as [Stable Diffusion v1]
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<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/DreamBooth.png" width=800/>
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</p>
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- [DreamBooth Fine-tuning](https://github.com/hpcaitech/ColossalAI/tree/hotfix/doc/examples/images/dreambooth): Personalize your model using just 3-5 images of the desired subject.
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- [DreamBooth Fine-tuning](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/dreambooth): Personalize your model using just 3-5 images of the desired subject.
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<p id="inference" align="center">
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<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/Stable%20Diffusion%20Inference.jpg" width=800/>
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</p>
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- [Inference](https://github.com/hpcaitech/EnergonAI/tree/main/examples/bloom): Reduce inference GPU memory consumption by 2.5x.
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- [Inference](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/diffusion): Reduce inference GPU memory consumption by 2.5x.
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More details can be found in our [blog of Stable Diffusion v1](https://www.hpc-ai.tech/blog/diffusion-pretraining-and-hardware-fine-tuning-can-be-almost-7x-cheaper) and [blog of Stable Diffusion v2](https://www.hpc-ai.tech/blog/colossal-ai-0-2-0).
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