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[chore] Update README_sana.md to update the default model #10285

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Merged
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Dec 19, 2024
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[chore] Update README_sana.md to update the default model #10285

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b4cde12
Update README_sana.md to update the default model
sayakpaul Dec 18, 2024
07a87d1
Merge branch 'main' into sayakpaul-patch-1
sayakpaul Dec 19, 2024
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4 changes: 2 additions & 2 deletions examples/dreambooth/README_sana.md
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Expand Up @@ -73,7 +73,7 @@ This will also allow us to push the trained LoRA parameters to the Hugging Face
Now, we can launch training using:

```bash
export MODEL_NAME="Efficient-Large-Model/Sana_1600M_1024px_diffusers"
export MODEL_NAME="Efficient-Large-Model/Sana_1600M_1024px_BF16_diffusers"
export INSTANCE_DIR="dog"
export OUTPUT_DIR="trained-sana-lora"

Expand Down Expand Up @@ -124,4 +124,4 @@ We provide several options for optimizing memory optimization:
* `cache_latents`: When enabled, we will pre-compute the latents from the input images with the VAE and remove the VAE from memory once done.
* `--use_8bit_adam`: When enabled, we will use the 8bit version of AdamW provided by the `bitsandbytes` library.

Refer to the [official documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/sana) of the `SanaPipeline` to know more about the models available under the SANA family and their preferred dtypes during inference.
Refer to the [official documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/sana) of the `SanaPipeline` to know more about the models available under the SANA family and their preferred dtypes during inference.
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