mirror of
https://github.com/huggingface/diffusers.git
synced 2026-01-27 17:22:53 +03:00
Fix a couple typos in Dreambooth readme (#2004)
Fix a couple typos in Dreambooth readme.
This commit is contained in:
@@ -204,10 +204,9 @@ accelerate launch train_dreambooth.py \
|
||||
--max_train_steps=800
|
||||
```
|
||||
|
||||
### Using DreamBooth for other pipelines than Stable Diffusion
|
||||
### Using DreamBooth for pipelines other than Stable Diffusion
|
||||
|
||||
Altdiffusion also support dreambooth now, the runing comman is basically the same as abouve, all you need to do is replace the `MODEL_NAME` like this:
|
||||
One can now simply change the `pretrained_model_name_or_path` to another architecture such as [`AltDiffusion`](https://huggingface.co/docs/diffusers/api/pipelines/alt_diffusion).
|
||||
The [AltDiffusion pipeline](https://huggingface.co/docs/diffusers/api/pipelines/alt_diffusion) also supports dreambooth fine-tuning. The process is the same as above, all you need to do is replace the `MODEL_NAME` like this:
|
||||
|
||||
```
|
||||
export MODEL_NAME="CompVis/stable-diffusion-v1-4" --> export MODEL_NAME="BAAI/AltDiffusion-m9"
|
||||
@@ -217,7 +216,7 @@ export MODEL_NAME="CompVis/stable-diffusion-v1-4" --> export MODEL_NAME="BAAI/Al
|
||||
|
||||
### Inference
|
||||
|
||||
Once you have trained a model using above command, the inference can be done simply using the `StableDiffusionPipeline`. Make sure to include the `identifier`(e.g. sks in above example) in your prompt.
|
||||
Once you have trained a model using the above command, you can run inference simply using the `StableDiffusionPipeline`. Make sure to include the `identifier` (e.g. sks in above example) in your prompt.
|
||||
|
||||
```python
|
||||
from diffusers import StableDiffusionPipeline
|
||||
|
||||
Reference in New Issue
Block a user