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[dreambooth] link to bitsandbytes readme for installation (#1229) 

* add 'conda install cudatoolkit' to dreambooth 'training on 16GB' example 

fixes https://github.com/huggingface/diffusers/issues/1207

* Apply suggestions from code review

Co-authored-by: Suraj Patil <surajp815@gmail.com>
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Glenn 'devalias' Grant 2022-11-15 22:53:54 +11:00 committed by GitHub
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examples/dreambooth/README.md
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@ -92,7 +92,7 @@ accelerate launch train_dreambooth.py \
With the help of gradient checkpointing and the 8-bit optimizer from bitsandbytes it's possible to run train dreambooth on a 16GB GPU.
Install `bitsandbytes` with `pip install bitsandbytes`
To install `bitandbytes` please refer to this [readme](https://github.com/TimDettmers/bitsandbytes#requirements--installation).
```bash
export MODEL_NAME="CompVis/stable-diffusion-v1-4"