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README.md added Docker instructions

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@ -261,7 +261,60 @@ streamlit run scripts/streamlit/inpainting.py -- configs/stable-diffusion/v2-inp
for a Gradio or Streamlit demo of the inpainting model.
This scripts adds invisible watermarking to the demo in the [RunwayML](https://github.com/runwayml/stable-diffusion/blob/main/scripts/inpaint_st.py) repository, but both should work interchangeably with the checkpoints/configs.
</br>
## Docker Install
*For those who struggle with installing Stable Diffusion, or like to run the sctipts containerised.*
### STEP 1, build Docker image
- Make sure you have: `Docker`, `NVIDIA` and `NVIDIA Cuda` installed on host.
- Copy Dockerfile to current working directory and run:
```bash
git clone https://github.com/Stability-AI/stablediffusion.git
cd stablediffusion
docker build --tag sd-docker .
```
#### STEP 2, run Docker Image as container
*Docker run examples:*
- text-to-image:
```bash
docker run --gpus=all -v <YOUR-OUTPUTS-DIRECTORY>:/WORKDIR/stablediffusion/outputs -v <YOUR-MOUNT-DIRECTORY>:/WORKDIR/stablediffusion/mount -e SCRIPT="text-to-image" -e PROMPT="a professional photograph of an astronaut riding a horse" -e CKPT="v2-1_768-ema-pruned.ckpt" -e N_ITER=1 -e N_SAMPLES=1 -e STEPS=90 -e SCALE=14 -e HIGHT="768" -e WIDTH="768" sd-docker
```
- text-to-image-negative:
```bash
docker run --gpus=all -v <YOUR-OUTPUTS-DIRECTORY>:/WORKDIR/stablediffusion/outputs -v <YOUR-MOUNT-DIRECTORY>:/WORKDIR/stablediffusion/mount -e SCRIPT="text-to-image-negative" -e PROMPT="a professional photograph of an astronaut riding a horse" -e CKPT="v2-1_768-ema-pruned.ckpt" -e N_PROMPT="blury, low quality, low res" -e N_ITER=1 -e N_SAMPLES=1 -e STEPS=90 -e SCALE=14 -e HIGHT="768" -e WIDTH="768" sd-docker
```
- img-to-img:
```bash
docker run --gpus=all -v <YOUR-OUTPUTS-DIRECTORY>:/WORKDIR/stablediffusion/outputs -v <YOUR-MOUNT-DIRECTORY>:/WORKDIR/stablediffusion/mount -e SCRIPT="img-to-img" -e PROMPT="a professional photograph of an astronaut riding a horse" -e CKPT="512-base-ema.ckpt" -e N_ITER=1 -e N_SAMPLES=1 -e STEPS=90 -e STRENGTH=0.8 -e SCALE="14" sd-docker
```
Generates Gradio Web UI: localhost:7860
- depth-to-image: (need pt and ckpt)
```bash
docker run --gpus=all -p 7860:7860 -v <YOUR-OUTPUTS-DIRECTORY>:/WORKDIR/stablediffusion/outputs -v <YOUR-MOUNT-DIRECTORY>:/WORKDIR/stablediffusion/mount -e SCRIPT="depth-to-image" -e CKPT="512-depth-ema.ckpt" sd-docker
```
- inpainting:
```bash
docker run --gpus=all -p 7860:7860 -v <YOUR-OUTPUTS-DIRECTORY>:/WORKDIR/stablediffusion/outputs -v <YOUR-MOUNT-DIRECTORY>:/WORKDIR/stablediffusion/mount -e SCRIPT="inpainting" -e CKPT="512-inpainting-ema.ckpt" sd-docker
```
- superresolution:
```bash
docker run --gpus=all -p 7860:7860 -v <YOUR-OUTPUTS-DIRECTORY>:/WORKDIR/stablediffusion/outputs -v <YOUR-MOUNT-DIRECTORY>:/WORKDIR/stablediffusion/mount -e SCRIPT="superresolution" -e CKPT="x4-upscaler-ema.ckpt" sd-docker
```
#### STEP 2 - Bash alternative
*you may also like to run multiple/different commands in the sandboxed space. you can bypass the start script and get access to the bash terminal via:*
```bash
docker run -it -p 7860:7860 --gpus=all -v <YOUR-OUTPUTS-DIRECTORY>:/WORKDIR/stablediffusion/outputs -v <YOUR-MOUNT-DIRECTORY>:/WORKDIR/stablediffusion/mount --entrypoint /bin/bash sd
```
#### STEP 2 - Bash alternative
*you may also like to run multiple/different commands in the sandboxed space. you can bypass the start script and get access to the terminal via:*
```docker run -it -p 7860:7860 --gpus=all -v <YOUR-OUTPUTS-DIRECTORY>:/WORKDIR/stablediffusion/outputs -v <YOUR-MOUNT-DIRECTORY>:/WORKDIR/stablediffusion/mount --entrypoint /bin/bash sd```
## Shout-Outs
- Thanks to [Hugging Face](https://huggingface.co/) and in particular [Apolinário](https://github.com/apolinario) for support with our model releases!