[Docs] Sync docs_new with legacy docs and update migration redirects (#23337)
Co-authored-by: Mingyi <wisclmy0611@gmail.com>
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@@ -43,7 +43,7 @@ The Wan2.1 series offers models in multiple sizes and resolutions, optimized for
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### 3.2 Configuration Tips
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Current supported optimization options are listed in the [SGLang diffusion support matrix](../../../docs/sglang-diffusion/attention-backends#platform-support-matrix).
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Current supported optimization options are listed in the [SGLang diffusion support matrix](../../../docs/sglang-diffusion/attention_backends#platform-support-matrix).
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- `--vae-path`: Path to a custom VAE model or HuggingFace model ID. If not specified, the VAE will be loaded from the main model path.
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- `--num-gpus {NUM_GPUS}`: Number of GPUs to use.
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@@ -58,7 +58,7 @@ Current supported optimization options are listed in the [SGLang diffusion suppo
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### 4.1 Basic Usage
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For more API usage and request examples, please refer to:
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[SGLang Diffusion OpenAI API](../../../docs/sglang-diffusion/api/openai-api)
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[SGLang Diffusion OpenAI API](../../../docs/sglang-diffusion/api/openai_api)
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#### 4.1.1 Launch a server and then send requests
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@@ -104,7 +104,7 @@ sglang generate "${SERVER_ARGS[@]}" "${SAMPLING_ARGS[@]}"
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#### 4.2.1 Cache-DiT Acceleration
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SGLang integrates [Cache-DiT](https://github.com/vipshop/cache-dit), a caching acceleration engine for Diffusion Transformers (DiT), to achieve significant inference speedups with minimal quality loss. You can set `SGLANG_CACHE_DIT_ENABLED=True` to enable it. For more details, please refer to the SGLang Cache-DiT [documentation](../../../docs/sglang-diffusion/cache-dit).
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SGLang integrates [Cache-DiT](https://github.com/vipshop/cache-dit), a caching acceleration engine for Diffusion Transformers (DiT), to achieve significant inference speedups with minimal quality loss. You can set `SGLANG_CACHE_DIT_ENABLED=True` to enable it. For more details, please refer to the SGLang Cache-DiT [documentation](../../../docs/sglang-diffusion/cache_dit).
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**Basic Usage**
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