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@@ -25,6 +25,7 @@ th {
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| `QwenImageEditPipeline` | Qwen-Image-Edit | `Qwen/Qwen-Image-Edit` |
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| `QwenImageEditPlusPipeline` | Qwen-Image-Edit-2509 | `Qwen/Qwen-Image-Edit-2509` |
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| `QwenImageLayeredPipeline` | Qwen-Image-Layered | `Qwen/Qwen-Image-Layered` |
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| `GlmImagePipeline` | GLM-Image | `zai-org/GLM-Image` |
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|`ZImagePipeline` | Z-Image | `Tongyi-MAI/Z-Image-Turbo` |
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| `WanPipeline` | Wan2.2-T2V, Wan2.2-TI2V | `Wan-AI/Wan2.2-T2V-A14B-Diffusers`, `Wan-AI/Wan2.2-TI2V-5B-Diffusers` |
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| `WanImageToVideoPipeline` | Wan2.2-I2V | `Wan-AI/Wan2.2-I2V-A14B-Diffusers` |
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# LoRA Inference Examples
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# LoRA Inference(Diffusion)
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Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/lora_inference>.
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# Qwen3-TTS Offline Inference
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# Qwen3-TTS
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Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/qwen3_tts>.
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# Online LoRA Inference (Diffusion)
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# LoRA Inference(Diffusion)
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Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/online_serving/lora_inference>.
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# LoRA Inference Examples
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# LoRA Inference(Diffusion)
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This directory contains examples for using LoRA (Low-Rank Adaptation) adapters with vLLM-omni diffusion models for offline inference.
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The example uses the `stabilityai/stable-diffusion-3.5-medium` as the default model, but you can replace it with other models in vLLM-omni.
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# Qwen3-TTS Offline Inference
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# Qwen3-TTS
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This directory contains an offline demo for running Qwen3 TTS models with vLLM Omni. It builds task-specific inputs and generates WAV files locally.
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# Online LoRA Inference (Diffusion)
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# LoRA Inference(Diffusion)
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This example shows how to use **per-request LoRA** with vLLM-Omni diffusion models via the OpenAI-compatible Chat Completions API.
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# Qwen3-TTS Online Serving
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# Qwen3-TTS
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This directory contains examples for running Qwen3-TTS models with vLLM-Omni's online serving API.
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