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Improved documentation

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B. Bergeron 2025-09-09 23:07:37 -04:00
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README.md
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@ -358,20 +358,24 @@ For models compatible with Iluvatar Extension for PyTorch. Here's a step-by-step
## Running with Docker ## Running with Docker
Start by installing Docker and Docker Compose on your host. Next, edit Start by installing Docker, Docker Compose, and the NVIDIA Container Toolkit on
`compose.yaml` and update the `UID` and `GID` variables to match your your host. Next, edit `compose.yaml` and update the `UID` and `GID` variables to
user. Additional fields are documented in the file for further customization. match your user. Additional fields are documented in the file for further
customization.
Once ready, build and run the image locally: Once ready, build and run the image locally:
``` ```shell
# (Re)build the Docker image. Run this before the first start, after updating
# ComfyUI, or after changing any build arguments in `compose.yaml`.
docker compose build docker compose build
# Start ComfyUI. This reuses the most recently built image.
docker compose up docker compose up
``` ```
To stop and remove the container along with its volumes, run: To stop and remove the container along with its volumes, run:
``` ```shell
docker compose down -v docker compose down -v
``` ```