1
0
mirror of https://github.com/huggingface/diffusers.git synced 2026-01-27 17:22:53 +03:00

[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>
This commit is contained in:
Glenn 'devalias' Grant
2022-11-15 22:53:54 +11:00
committed by GitHub
parent 610e2a6fd9
commit db1cb0b1a2

View File

@@ -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"