Text-to-Image

Text-to-image generation runs a vLLM-Omni worker with --output-modalities image.

Tested Models

To run a non-default model, pass --model to the launch script:

$
bash examples/backends/vllm/launch/agg_omni_image.sh --model AIDC-AI/Ovis-Image-7B

Launch

Launch using the provided script with Qwen/Qwen-Image:

$
bash examples/backends/vllm/launch/agg_omni_image.sh

Generate an Image

Image generation is available on two endpoints: /v1/chat/completions returns base64-encoded images inline in choices[].delta.content[].image_url, while /v1/images/generations returns a URL or base64 depending on response_format.

$
curl -s http://localhost:8000/v1/images/generations \
>
  -H "Content-Type: application/json" \
>
  -d '{
>
    "model": "Qwen/Qwen-Image",
>
    "prompt": "A cat sitting on a windowsill",
>
    "size": "1024x1024",
>
    "response_format": "url"
>
  }'

See Also

• Text-to-Image with SGLang
• Text-to-Image with TensorRT-LLM
• Disaggregated Serving — GLM-Image (2-stage text-to-image)
• vLLM-Omni Configuration reference