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Remove error dllm and diffusion doc in basic_useage (#19105)

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赵晨阳
2026-02-20 20:28:00 -08:00
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docs/basic_usage/diffusion.md
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# Diffusion
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).
## Image & Video Generation Models
For generating images and videos from text prompts, SGLang supports [many](../diffusion/compatibility_matrix.md) models like:
- **FLUX, Qwen-Image** - High-quality image generation
- **Wan 2.2, HunyuanVideo** - Video generation
```bash
# Example: Launch FLUX for image generation
python3 -m sglang.launch_server \
--model-path black-forest-labs/FLUX.2-klein-4B \
--host 0.0.0.0 --port 30000
```
**Full model list:** [Diffusion Models](../diffusion/compatibility_matrix.md)

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docs/basic_usage/diffusion_llms.md
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# Diffusion Language Models (dLLMs)
These are text-generation models that use diffusion (denoising) instead of autoregressive decoding:
- **LLaDA** - Large Language Diffusion with mAsking
```bash
# Example: Launch LLaDA for text generation
python3 -m sglang.launch_server \
--model-path GSAI-ML/LLaDA-8B-Instruct \
--host 0.0.0.0 --port 30000
```
**Full model list:** [Diffusion Language Models](../supported_models/text_generation/diffusion_language_models.md)