[diffusion] doc: document LoRA support in CLI (#16375)

python/sglang/multimodal_gen/README.md

@@ -64,6 +64,19 @@ sglang generate --model-path Wan-AI/Wan2.1-T2V-1.3B-Diffusers \
     --save-output
 ```
 
+### LoRA support
+
+Apply LoRA adapters via `--lora-path`:
+
+```bash
+sglang generate \
+  --model-path Qwen/Qwen-Image-Edit-2511 \
+  --lora-path prithivMLmods/Qwen-Image-Edit-2511-Anime \
+  --prompt "Transform into anime." \
+  --image-path "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png" \
+  --save-output
+```
+
 For more usage examples (e.g. OpenAI compatible API, server mode), check [cli.md](https://github.com/sgl-project/sglang/tree/main/python/sglang/multimodal_gen/docs/cli.md).
 
 ## Contributing

python/sglang/multimodal_gen/docs/cli.md

@@ -14,6 +14,8 @@ The SGLang-diffusion CLI provides a quick way to access the inference pipeline f
 
 - `--model-path {MODEL_PATH}`: Path to the model or model ID
 - `--vae-path {VAE_PATH}`: Path to a custom VAE model or HuggingFace model ID (e.g., `fal/FLUX.2-Tiny-AutoEncoder`). If not specified, the VAE will be loaded from the main model path.
+- `--lora-path {LORA_PATH}`: Path to a LoRA adapter (local path or HuggingFace model ID). If not specified, LoRA will not be applied.
+- `--lora-nickname {NAME}`: Nickname for the LoRA adapter. (default: `default`).
 - `--num-gpus {NUM_GPUS}`: Number of GPUs to use
 - `--tp-size {TP_SIZE}`: Tensor parallelism size (only for the encoder; should not be larger than 1 if text encoder offload is enabled, as layer-wise offload plus prefetch is faster)
 - `--sp-degree {SP_SIZE}`: Sequence parallelism size (typically should match the number of GPUs)