Unifying CLI Argument Naming Style (#1309)

Signed-off-by: Didan Deng <33117903+wtomin@users.noreply.github.com>

docs/user_guide/examples/offline_inference/text_to_image.md

@@ -82,9 +82,9 @@ python text_to_image.py \
   --model Tongyi-MAI/Z-Image-Turbo \
   --prompt "a cup of coffee on the table" \
   --seed 42 \
-  --cfg_scale 4.0 \
-  --num_images_per_prompt 1 \
-  --num_inference_steps 50 \
+  --cfg-scale 4.0 \
+  --num-images-per-prompt 1 \
+  --num-inference-steps 50 \
   --height 1024 \
   --width 1024 \
   --output outputs/coffee.png
@@ -94,17 +94,17 @@ Key arguments:
 
 - `--prompt`: text description (string).
 - `--seed`: integer seed for deterministic sampling.
-- `--cfg_scale`: true CFG scale (model-specific guidance strength).
-- `--num_images_per_prompt`: number of images to generate per prompt (saves as `output`, `output_1`, ...).
-- `--num_inference_steps`: diffusion sampling steps (more steps = higher quality, slower).
+- `--cfg-scale`: true CFG scale (model-specific guidance strength).
+- `--num-images-per-prompt`: number of images to generate per prompt (saves as `output`, `output_1`, ...).
+- `--num-inference-steps`: diffusion sampling steps (more steps = higher quality, slower).
 - `--height/--width`: output resolution (defaults 1024x1024).
 - `--output`: path to save the generated PNG.
-- `--vae_use_slicing`: enable VAE slicing for memory optimization.
-- `--vae_use_tiling`: enable VAE tiling for memory optimization.
-- `--cfg_parallel_size`: set it to 2 to enable CFG Parallel. See more examples in [`user_guide`](https://github.com/vllm-project/vllm-omni/tree/main/docs/user_guide/diffusion/parallelism_acceleration.md#cfg-parallel).
+- `--vae-use-slicing`: enable VAE slicing for memory optimization.
+- `--vae-use-tiling`: enable VAE tiling for memory optimization.
+- `--cfg-parallel-size`: set it to 2 to enable CFG Parallel. See more examples in [`user_guide`](https://github.com/vllm-project/vllm-omni/tree/main/docs/user_guide/diffusion/parallelism_acceleration.md#cfg-parallel).
 - `--enable-cpu-offload`: enable CPU offloading for diffusion models.
 
-> ℹ️ If you encounter OOM errors, try using `--vae_use_slicing` and `--vae_use_tiling` to reduce memory usage.
+> ℹ️ If you encounter OOM errors, try using `--vae-use-slicing` and `--vae-use-tiling` to reduce memory usage.
 
 > ℹ️ Qwen-Image currently publishes best-effort presets at `1328x1328`, `1664x928`, `928x1664`, `1472x1140`, `1140x1472`, `1584x1056`, and `1056x1584`. Adjust `--height/--width` accordingly for the most reliable outcomes.