[diffusion] Add Qwen-Image ModelOpt NVFP4 support (#28928)
Co-authored-by: jingyu-ml <jingyux@nvidia.com> Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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jingyu-ml
Claude Opus 4.8
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@@ -30,6 +30,28 @@ Qwen-Image is a text-to-image model. The recommended launch configurations vary
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<QwenImageDeployment />
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For the validated ModelOpt NVFP4 checkpoint on Blackwell, load the published
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Qwen-Image-2512 NVFP4 repo directly:
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```bash Command
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sglang serve \
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--model-path lmsys/qwen-image-2512-modelopt-nvfp4-sglang \
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--ulysses-degree=1 \
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--ring-degree=1
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```
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For high-resolution B200 generations, the FlashInfer CUTLASS FP4 GEMM backend
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can be faster than the default TensorRT-LLM FP4 GEMM backend:
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```bash Command
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SGLANG_DIFFUSION_FLASHINFER_FP4_GEMM_BACKEND=cutlass \
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sglang generate \
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--model-path lmsys/qwen-image-2512-modelopt-nvfp4-sglang \
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--width 2048 --height 2048 \
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--prompt "A tiny astronaut reading a book under a glass greenhouse" \
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--save-output
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```
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### 3.2 Configuration Tips
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Currently supported optimizations are listed [here](/docs/sglang-diffusion/compatibility_matrix).
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