[Doc] update offline inference doc and offline_inference examples (#274)
Signed-off-by: David Chen <530634352@qq.com>
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# Qwen-Image-Edit Offline Inference
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Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/image_to_image>. Added in PR [#196](https://github.com/vllm-project/vllm-omni/pull/196).
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This example edits an input image with `Qwen/Qwen-Image-Edit` using the `image_edit.py` CLI.
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## Local CLI Usage
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```bash
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python image_edit.py \
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--image qwen_bear.png \
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--prompt "Let this mascot dance under the moon, surrounded by floating stars and poetic bubbles such as 'Be Kind'" \
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--output output_image_edit.png \
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--num_inference_steps 50 \
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--cfg_scale 4.0
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```
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Key arguments:
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- `--image`: path to the source image (PNG/JPG, converted to RGB).
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- `--prompt` / `--negative_prompt`: text description (string).
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- `--cfg_scale`: true CFG scale for Qwen-Image-Edit (quality vs. fidelity).
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- `--num_inference_steps`: diffusion sampling steps (more steps = higher quality, slower).
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- `--output`: path to save the generated PNG.
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## Example materials
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??? abstract "image_edit.py"
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``````py
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--8<-- "examples/offline_inference/image_to_image/image_edit.py"
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``````
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