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https://xuanyuan.cloud/agents.md
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CONTAINERSIMAGESRUNBUILD
Please refer to the documentation from the following packages:
By default, this container will automatically start the https://github.com/dusty-nv/jetson-containers/tree/master/packages/diffusion/stable-diffusion-webui server (navigate your browser to http://$IP_ADDRESS:7860)
l4t-diffusion | |
|---|---|
| Builds | https://img.shields.io/github/actions/workflow/status/dusty-nv/jetson-containers/l4t-diffusion_jp51.yml?label=l4t-diffusion:jp51](https://github.com/dusty-nv/jetson-containers/actions/workflows/l4t-diffusion_jp51.yml) |
| Requires | L4T ['>=34.1.0'] |
| Dependencies | https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/build-essential https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cuda https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cudnn https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/python https://github.com/dusty-nv/jetson-containers/tree/master/packages/numpy https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/cmake/cmake_pip https://github.com/dusty-nv/jetson-containers/tree/master/packages/onnx https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torchvision https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/huggingface_hub https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/rust https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/transformers https://github.com/dusty-nv/jetson-containers/tree/master/packages/diffusion/stable-diffusion https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/xformers https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/pycuda https://github.com/dusty-nv/jetson-containers/tree/master/packages/opencv https://github.com/dusty-nv/jetson-containers/tree/master/packages/tensorrt https://github.com/dusty-nv/jetson-containers/tree/master/packages/onnxruntime https://github.com/dusty-nv/jetson-containers/tree/master/packages/diffusion/stable-diffusion-webui |
| Images | https://hub.docker.com/r/dustynv/l4t-diffusion/tags (2024-01-09, 7.3GB)https://hub.docker.com/r/dustynv/l4t-diffusion/tags (2023-09-24, 6.9GB)https://hub.docker.com/r/dustynv/l4t-diffusion/tags (2024-02-02, 7.3GB) |
| Repository/Tag | Date | Arch | Size |
|---|---|---|---|
| https://hub.docker.com/r/dustynv/l4t-diffusion/tags | 2024-01-09 | arm64 | 7.3GB |
| https://hub.docker.com/r/dustynv/l4t-diffusion/tags | 2023-09-24 | arm64 | 6.9GB |
| https://hub.docker.com/r/dustynv/l4t-diffusion/tags | 2024-02-02 | arm64 | 7.3GB |
Container images are compatible with other minor versions of JetPack/L4T:
• L4T R32.7 containers can run on other versions of L4T R32.7 (JetPack 4.6+)
• L4T R35.x containers can run on other versions of L4T R35.x (JetPack 5.1+)
To start the container, you can use https://github.com/dusty-nv/jetson-containers/tree/master/docs/run.md and https://github.com/dusty-nv/jetson-containers/tree/master/docs/run.md#autotag, or manually put together a https://docs.docker.com/engine/reference/commandline/run/ command:
bash# automatically pull or build a compatible container image jetson-containers run $(autotag l4t-diffusion) # or explicitly specify one of the container images above jetson-containers run dustynv/l4t-diffusion:r35.4.1 # or if using 'docker run' (specify image and mounts/ect) sudo docker run --runtime nvidia -it --rm --network=host dustynv/l4t-diffusion:r35.4.1
https://github.com/dusty-nv/jetson-containers/tree/master/docs/run.md forwards arguments to https://docs.docker.com/engine/reference/commandline/run/ with some defaults added (like
--runtime nvidia, mounts a/datacache, and detects devices)
https://github.com/dusty-nv/jetson-containers/tree/master/docs/run.md#autotag finds a container image that's compatible with your version of JetPack/L4T - either locally, pulled from a registry, or by building it.
To mount your own directories into the container, use the https://docs.docker.com/engine/reference/commandline/run/#volume or https://docs.docker.com/engine/reference/commandline/run/#volume flags:
bashjetson-containers run -v /path/on/host:/path/in/container $(autotag l4t-diffusion)
To launch the container running a command, as opposed to an interactive shell:
bashjetson-containers run $(autotag l4t-diffusion) my_app --abc xyz
You can pass any options to it that you would to https://docs.docker.com/engine/reference/commandline/run/, and it'll print out the full command that it constructs before executing it.
If you use https://github.com/dusty-nv/jetson-containers/tree/master/docs/run.md#autotag as shown above, it'll ask to build the container for you if needed. To manually build it, first do the https://github.com/dusty-nv/jetson-containers/tree/master/docs/setup.md, then run:
bashjetson-containers build l4t-diffusion
The dependencies from above will be built into the container, and it'll be tested during. Run it with https://github.com/dusty-nv/jetson-containers/tree/master/jetson_containers/build.py for build options.
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