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[docs] Clarify dtypes for Sana #10248

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Dec 17, 2024
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[docs] Clarify dtypes for Sana #10248

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a-r-r-o-w Dec 16, 2024
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Merge branch 'main' into update-sana-docs
sayakpaul Dec 17, 2024
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2 changes: 2 additions & 0 deletions docs/source/en/api/pipelines/sana.md
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Expand Up @@ -42,6 +42,8 @@ Available models:

Refer to [this](https://huggingface.co/collections/Efficient-Large-Model/sana-673efba2a57ed99843f11f9e) collection for more information.

Note: The recommended dtype mentioned is for the transformer weights. The text encoder and VAE weights must stay in `torch.bfloat16` or `torch.float32` for the model to work correctly. Please refer to the inference example below to see how to load the model with the recommended dtype.

<Tip>

Make sure to pass the `variant` argument for downloaded checkpoints to use lower disk space. Set it to `"fp16"` for models with recommended dtype as `torch.float16`, and `"bf16"` for models with recommended dtype as `torch.bfloat16`. By default, `torch.float32` weights are downloaded, which use twice the amount of disk storage. Additionally, `torch.float32` weights can be downcasted on-the-fly by specifying the `torch_dtype` argument. Read about it in the [docs](https://huggingface.co/docs/diffusers/v0.31.0/en/api/pipelines/overview#diffusers.DiffusionPipeline.from_pretrained).
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