[Misc] Fix docs and update image edit example with cache-dit (#318)

Signed-off-by: samithuang <285365963@qq.com>
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Samit authored and GitHub committed 2025-12-15 13:43:28 +00:00
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# Image-To-Image
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).
Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/image_to_image>.
This example edits an input image with `Qwen/Qwen-Image-Edit` using the `image_edit.py` CLI.
@@ -3,11 +3,22 @@
Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/text_to_image>.
This folder provides two simple entrypoints for experimenting with `Qwen/Qwen-Image` `Tongyi-MAI/Z-Image-Turbo` using vLLM-Omni:
This folder provides several entrypoints for experimenting with `Qwen/Qwen-Image` `Tongyi-MAI/Z-Image-Turbo` using vLLM-Omni:
- `text_to_image.py`: command-line script for single image generation.
- `text_to_image.py`: command-line script for single image generation with advanced options.
- `web_demo.py`: lightweight Gradio UI for interactive prompt/seed/CFG exploration.
## Basic Usage
```python
from vllm_omni.entrypoints.omni import Omni
if __name__ == "__main__":
omni = Omni(model="Qwen/Qwen-Image")
prompt = "a cup of coffee on the table"
images = omni.generate(prompt)
images[0].save("coffee.png")
```
## Local CLI Usage
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# Text-To-Video
Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/text_to_video>. Added in PR [#202](https://github.com/vllm-project/vllm-omni/pull/202).
Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/text_to_video>.
The `Wan-AI/Wan2.2-T2V-A14B-Diffusers` pipeline generates short videos from text prompts.
@@ -36,5 +36,5 @@ Key arguments:
??? abstract "text_to_video.py"
``````py
--8<-- "examples/offline_inference/wan22/text_to_video.py"
--8<-- "examples/offline_inference/text_to_video/text_to_video.py"
``````