Add Lychee Doc Links Check to Local and CI (#19742)
Co-authored-by: Zijie Xia <zijie_xia@icloud.com> Co-authored-by: Zijie Xia <zijiexia@users.noreply.github.com> Co-authored-by: zijiexia <37504505+zijiexia@users.noreply.github.com>
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co-authored by
Zijie Xia
Zijie Xia
zijiexia
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a32e0d57e7
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c4db64c16b
@@ -89,7 +89,7 @@ sglang generate \
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--save-output
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```
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For more usage examples (e.g. OpenAI compatible API, server mode), check [cli.md](https://github.com/sgl-project/sglang/tree/main/docs/diffusion/cli.md).
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For more usage examples (e.g. OpenAI compatible API, server mode), check [cli.md](https://github.com/sgl-project/sglang/tree/main/docs/diffusion/api/cli.md).
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## Contributing
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@@ -4,7 +4,7 @@ A ComfyUI plugin for integrating with SGLang Diffusion server, supporting image
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## Installation
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1. **Install SGLang**: Follow the [Installation Guide](../../docs/install.md) to install `sglang[diffusion]`.
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1. **Install SGLang**: Follow the [Installation Guide](../../../../../docs/diffusion/installation.md) to install `sglang[diffusion]`.
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2. **Install Plugin**: Copy this entire directory (`ComfyUI_SGLDiffusion`) to your ComfyUI `custom_nodes/` folder.
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3. **Restart ComfyUI**: Restart ComfyUI to load the plugin.
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@@ -53,7 +53,6 @@ To use these workflows:
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3. Adjust the parameters and model paths as needed.
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4. Run the workflow.
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## Current Implementation
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This plugin provides a high-performance backend for diffusion models in ComfyUI. By leveraging SGLang's optimized kernels and parallelization techniques (Tensor Parallelism, TeaCache, etc.), it significantly accelerates the sampling process, especially for large models like FLUX.
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@@ -44,7 +44,7 @@ For more installation information, please refer to the [Nunchaku Official Docume
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Nunchaku provides pre-quantized model weights available on Hugging Face:
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- [nunchaku-ai/nunchaku-qwen-image](https://huggingface.co/nunchaku-ai/nunchaku-qwen-image)
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- [nunchaku-ai/nunchaku-flux](https://huggingface.co/nunchaku-ai/nunchaku-flux)
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- [Nunchaku FLUX.1 collection](https://huggingface.co/collections/nunchaku-ai/nunchaku-flux1)
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Taking Qwen-Image as an example, several quantized models with different configurations are provided:
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