Remove error dllm and diffusion doc in basic_useage (#19105)
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# Diffusion
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SGLang supports two categories of diffusion models for different use cases. This page covers image and video generation; for diffusion LLMs, see [Diffusion LLMs](diffusion_llms.md).
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## Image & Video Generation Models
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For generating images and videos from text prompts, SGLang supports [many](../diffusion/compatibility_matrix.md) models like:
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- **FLUX, Qwen-Image** - High-quality image generation
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- **Wan 2.2, HunyuanVideo** - Video generation
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```bash
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# Example: Launch FLUX for image generation
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python3 -m sglang.launch_server \
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--model-path black-forest-labs/FLUX.2-klein-4B \
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--host 0.0.0.0 --port 30000
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```
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**Full model list:** [Diffusion Models](../diffusion/compatibility_matrix.md)
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# Diffusion Language Models (dLLMs)
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These are text-generation models that use diffusion (denoising) instead of autoregressive decoding:
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- **LLaDA** - Large Language Diffusion with mAsking
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```bash
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# Example: Launch LLaDA for text generation
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python3 -m sglang.launch_server \
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--model-path GSAI-ML/LLaDA-8B-Instruct \
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--host 0.0.0.0 --port 30000
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```
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**Full model list:** [Diffusion Language Models](../supported_models/text_generation/diffusion_language_models.md)
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@@ -35,8 +35,6 @@ Its core features include:
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basic_usage/native_api.ipynb
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basic_usage/native_api.ipynb
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basic_usage/sampling_params.md
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basic_usage/sampling_params.md
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basic_usage/popular_model_usage.rst
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basic_usage/popular_model_usage.rst
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basic_usage/diffusion_llms.md
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basic_usage/diffusion.md
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.. toctree::
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.. toctree::
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:maxdepth: 1
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:maxdepth: 1
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