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[doc] add link to training script (#3271)

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add link to training script

Co-authored-by: yiyixuxu <yixu@yis-macbook-pro.lan>
This commit is contained in:
YiYi Xu
2023-04-28 07:14:30 -10:00
committed by Daniel Gu
parent 220657b7bd
commit 1b95720f97
3 changed files with 20 additions and 4 deletions
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7
docs/source/en/training/controlnet.mdx
View File

@@ -33,7 +33,12 @@ cd diffusers
pip install -e .
```
Then navigate into the example folder and run:
Then navigate into the [example folder](https://github.com/huggingface/diffusers/tree/main/examples/controlnet)
```bash
cd examples/controlnet
```
Now run:
```bash
pip install -r requirements.txt
```

8
docs/source/en/training/custom_diffusion.mdx
View File

@@ -33,7 +33,13 @@ cd diffusers
pip install -e .
```
Then cd in the example folder and run
Then cd into the [example folder](https://github.com/huggingface/diffusers/tree/main/examples/custom_diffusion)
```
cd examples/custom_diffusion
```
Now run
```bash
pip install -r requirements.txt

9
docs/source/en/training/instructpix2pix.mdx
View File

@@ -24,7 +24,7 @@ The output is an "edited" image that reflects the edit instruction applied on th
<img src="https://huggingface.co/datasets/diffusers/docs-images/resolve/main/output-gs%407-igs%401-steps%4050.png" alt="instructpix2pix-output" width=600/>
</p>
The `train_instruct_pix2pix.py` script shows how to implement the training procedure and adapt it for Stable Diffusion.
The `train_instruct_pix2pix.py` script (you can find the it [here](https://github.com/huggingface/diffusers/blob/main/examples/instruct_pix2pix/train_instruct_pix2pix.py)) shows how to implement the training procedure and adapt it for Stable Diffusion.
***Disclaimer: Even though `train_instruct_pix2pix.py` implements the InstructPix2Pix
training procedure while being faithful to the [original implementation](https://github.com/timothybrooks/instruct-pix2pix) we have only tested it on a [small-scale dataset](https://huggingface.co/datasets/fusing/instructpix2pix-1000-samples). This can impact the end results. For better results, we recommend longer training runs with a larger dataset. [Here](https://huggingface.co/datasets/timbrooks/instructpix2pix-clip-filtered) you can find a large dataset for InstructPix2Pix training.***
@@ -44,7 +44,12 @@ cd diffusers
pip install -e .
```
Then cd in the example folder and run
Then cd in the example folder
```bash
cd examples/instruct_pix2pix
```
Now run
```bash
pip install -r requirements.txt
```