Migrate audiox examples

examples/offline_inference/text_to_audio/README.md

@@ -1,5 +1,12 @@
 # Text-To-Audio
 
+A unified script for text/video-to-audio generation. Supported models:
+
+| Model | Tasks | Notes |
+|-------|-------|-------|
+| `stabilityai/stable-audio-open-1.0` | text-to-audio | gated; uses `--audio-length` |
+| `zhangj1an/AudioX` | `t2a` / `t2m` / `v2a` / `v2m` / `tv2a` / `tv2m` | pass `--task`; video tasks need `--video` |
+
 The `stabilityai/stable-audio-open-1.0` pipeline generates audio from text prompts.
 
 ## Prerequisites
@@ -43,13 +50,45 @@ python text_to_audio.py \
   --output stable_audio_output.wav
 ```
 
+### AudioX
+
+AudioX supports six tasks. Sampler and reference knobs (declared in
+`vllm_omni/model_extras/audiox.py`) are passed via the generic `--extra-body`
+JSON flag, routed into sampling `extra_args`.
+
+Text tasks (`t2a` / `t2m`):
+
+```bash
+python text_to_audio.py \
+  --model zhangj1an/AudioX --task t2a \
+  --prompt "Fireworks burst twice, followed by a clock ticking." \
+  --num-inference-steps 250 --guidance-scale 6.0 --audio-length 10.0 --seed 42 \
+  --extra-body '{"sigma_min": 0.03, "sigma_max": 1000.0}' \
+  --output t2a.wav
+```
+
+Video-conditioned tasks (`v2a` / `v2m` / `tv2a` / `tv2m`) require `--video`:
+
+```bash
+python text_to_audio.py \
+  --model zhangj1an/AudioX --task tv2a \
+  --prompt "drum beating sound and human talking" \
+  --video https://zeyuet.github.io/AudioX/static/samples/V2M/1XeBotOFqHA.mp4 \
+  --num-inference-steps 250 --guidance-scale 6.0 --audio-length 10.0 \
+  --output tv2a.wav
+```
+
 Key arguments:
 
 - `--prompt`: text description (string).
+- `--task`: [AudioX] one of `t2a`/`t2m`/`v2a`/`v2m`/`tv2a`/`tv2m`.
+- `--video`: [AudioX `v2*`/`tv2*`] video file/URL for conditioning (→ `video_path`).
+- `--audio-start`: audio start offset in seconds (→ `audio_start_in_s` for Stable Audio, `seconds_start` for AudioX).
+- `--audio-length`: audio duration in seconds (audio length for Stable Audio, `seconds_total` for AudioX).
+- `--extra-body`: JSON dict of model-specific knobs (declared in `vllm_omni/model_extras/`), merged into sampling `extra_args`. For AudioX, sampler/reference knobs go here, e.g. `'{"sigma_min": 0.03, "sigma_max": 1000.0, "cfg_rescale": 0.0, "audio_path": "ref.wav"}'`.
 - `--negative-prompt`: negative prompt for classifier-free guidance.
 - `--seed`: integer seed for deterministic generation.
 - `--guidance-scale`: classifier-free guidance scale.
-- `--audio-length`: audio duration in seconds.
 - `--num-inference-steps`: diffusion sampling steps.(more steps = higher quality, slower).
 - `--use-hsdp`: enable HSDP weight sharding for the Stable Audio DiT.
 - `--hsdp-shard-size`: number of GPUs used for HSDP sharding.