This commit refactors the `docker-compose.yml` and `Dockerfile` to simplify the management of environment variables and user/group configurations. The following changes were made:
1. **Environment Variables via `.env` File:**
- Added `env_file: .env` in the base service configuration within `docker-compose.yml`. This allows for centralized management of environment variables, making it easier to configure different environments without modifying Docker files directly.
2. **User/Group Configuration Simplification:**
- Removed hardcoded user and group settings (`USE_UID`, `USE_GID`, `USE_USER`, `USE_GROUP`) from the `docker-compose.yml` file.
- Updated the `Dockerfile` to use default values of `0` for `USE_UID` and `USE_GID`, and `root` for `USE_USER` and `USE_GROUP`. This aligns with common practices where root is often used in containerized environments unless specified otherwise.
3. **Conditional Dependency Handling:**
- Introduced conditional logic to enable dependencies like Krita based on the value of `USE_KRITA`.
- Simplified the environment variable assignments within the Dockerfile, ensuring that only necessary variables are set.
4. **Entrypoint Script Enhancements:**
- Added a feature in the `entrypoint.sh` script to update custom nodes by pulling the latest changes from their respective repositories if `UPDATE_CUSTOM_NODES` is set to `true`.
These changes improve the maintainability and flexibility of the Docker setup, making it easier to adapt to different deployment scenarios.
This commit introduces flexibility in the Docker setup by allowing the container to run either as the `root` user or a specified non-root user. It updates both the `docker-compose.yml` and `Dockerfile` to include environment variables for setting the user ID, group ID, username, and group name. Additionally, it modifies the entrypoint script to handle these configurations appropriately, ensuring compatibility with different user setups.
This commit adds support for integrating Krita AI Diffusion models and nodes into the Comfy image editing application. It includes the following changes:
- Downloads recommended models for Krita AI Diffusion if enabled
- Symlinks the downloaded upscale models into the models directory
- Adds environment variables to enable/disable dependancy node packs
- Clones and sets up the required Git repositories for those node packs if enabled
- Installs additional dependencies like aiohttp and tqdm if Krita AI Diffusion is used
These changes allow Comfy to leverage the powerful image generation and editing capabilities provided by the Krita AI Diffusion project. Users can now access advanced features like outpainting, inpainting, upscaling, etc. within the Comfy UI.
The commit also improves the build process by using a cache for pip installs and specifying types for mounted volumes in Docker for better performance and reproducibility.
I updated the paths to make all paths work
Now paths in ComfyUI are working
Added:
- `input`
- `models/configs`
- `models/gligen`
- `models/diffusers`
- `models/hypernetworks`
Was broken:
- `custom_nodes`
- `models/clip_vision`
- `models/clip`
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Co-authored-by: LEv145 <you@example.com>
Co-authored-by: AbdBarho <ka70911@gmail.com>
As discussed in Discussion
[#367](https://github.com/AbdBarho/stable-diffusion-webui-docker/discussions/367),
this adds support for the newer ComfyUI. I forked the fork that would
already add this but the maintainer of that fork hasn't implemented the
changes needed to properly get the output function working, which I did.
I believe everything is functional though I have not tested every single
node.
I changed the table format for the README and a few other minor things
for aesthetic reasons but if you want me to revert those, I will.
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Co-authored-by: Jonathan Kovacs <jkovacs-dev@users.noreply.github.com>
Co-authored-by: AbdBarho <ka70911@gmail.com>
