vllm-omni/docs/user_guide/examples/offline_inference/image_to_image.md

Qwen-Image-Edit Offline Inference

Source https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/image_to_image. Added in PR #196.

This example edits an input image with Qwen/Qwen-Image-Edit using the image_edit.py CLI.

Local CLI Usage

python image_edit.py \
  --image qwen_bear.png \
  --prompt "Let this mascot dance under the moon, surrounded by floating stars and poetic bubbles such as 'Be Kind'" \
  --output output_image_edit.png \
  --num_inference_steps 50 \
  --cfg_scale 4.0

Key arguments:

• --image: path to the source image (PNG/JPG, converted to RGB).
• --prompt / --negative_prompt: text description (string).
• --cfg_scale: true CFG scale for Qwen-Image-Edit (quality vs. fidelity).
• --num_inference_steps: diffusion sampling steps (more steps = higher quality, slower).
• --output: path to save the generated PNG.

Example materials

??? abstract "image_edit.py" py --8<-- "examples/offline_inference/image_to_image/image_edit.py"