Fix "Add online serving to Stable Audio Diffusion and introduce v1/audio/generate endpoint" (#1794)

Signed-off-by: Ekagra Ranjan <3116519+ekagra-ranjan@users.noreply.github.com>
Signed-off-by: Yueqian Lin <linyueqian@outlook.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com>
Co-authored-by: Yueqian Lin <linyueqian@outlook.com>
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# Text-To-Audio
Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/online_serving/stable_audio>.
This example demonstrates how to deploy Stable Audio models for online text-to-audio generation using vLLM-Omni.
## Supported Models
| Model | Description |
|-------|-------------|
| `stabilityai/stable-audio-open-1.0` | Open-source audio generation, up to ~47 seconds, 44.1 kHz stereo |
## Start Server
### Basic Start
```bash
vllm-omni serve stabilityai/stable-audio-open-1.0 \
--host 0.0.0.0 \
--port 8091 \
--gpu-memory-utilization 0.9 \
--trust-remote-code \
--enforce-eager \
--omni
```
## API Calls
### Method 1: Using curl
```bash
# Run all curl examples
bash curl_examples.sh
# Or execute directly
curl -X POST http://localhost:8091/v1/audio/generate \
-H "Content-Type: application/json" \
-d '{
"input": "The sound of a cat purring",
"audio_length": 10.0
}' --output cat.wav
```
### Method 2: Using Python Client
```bash
cd examples/online_serving/stable_audio
# Simple generation
python stable_audio_client.py \
--text "The sound of a cat purring"
# With custom duration
python stable_audio_client.py \
--text "A dog barking" \
--audio_length 5.0
# With all parameters
python stable_audio_client.py \
--text "Thunder and rain" \
--audio_length 15.0 \
--negative_prompt "Low quality" \
--guidance_scale 7.0 \
--num_inference_steps 100 \
--seed 42 \
--output thunder.wav
```
The Python client supports the following command-line arguments:
- `--api_url`: API endpoint URL (default: `http://localhost:8091/v1/audio/generate`)
- `--text`: Text prompt for audio generation (default: `"The sound of a cat purring"`)
- `--audio_length`: Audio length in seconds (default: `10.0`, max ~47s for `stable-audio-open-1.0`)
- `--audio_start`: Audio start time in seconds (default: `0.0`)
- `--negative_prompt`: Negative prompt for classifier-free guidance (default: `"Low quality"`)
- `--guidance_scale`: Guidance scale for diffusion (default: `7.0`)
- `--num_inference_steps`: Number of inference steps (default: `100`)
- `--seed`: Random seed for reproducibility (default: `None`)
- `--response_format`: Audio output format (default: `wav`). Options: `wav`, `mp3`, `flac`, `pcm`
- `--output`: Output file path (default: `stable_audio_output.wav`)
### Method 3: Using Python httpx
```python
import httpx
response = httpx.post(
"http://localhost:8091/v1/audio/generate",
json={
"input": "The sound of ocean waves crashing on a beach",
"audio_length": 10.0,
"negative_prompt": "Low quality, distorted",
"guidance_scale": 7.0,
"num_inference_steps": 100,
},
timeout=300.0,
)
with open("ocean.wav", "wb") as f:
f.write(response.content)
```
## Request Format
### Simple Generation
```json
{
"input": "The sound of ocean waves"
}
```
### Generation with Parameters
```json
{
"input": "A piano playing a gentle melody",
"audio_length": 10.0,
"negative_prompt": "Low quality, distorted, noisy",
"guidance_scale": 8.0,
"num_inference_steps": 150,
"seed": 42,
"response_format": "wav"
}
```
## API Reference
### Endpoint
```
POST /v1/audio/generate
Content-Type: application/json
```
### Generation Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `input` | string | **required** | Text prompt describing the audio to generate |
| `model` | string | server's model | Model to use (optional, should match server if specified) |
| `response_format` | string | "wav" | Audio format: wav, mp3, flac, pcm, aac, opus |
| `speed` | float | 1.0 | Playback speed (0.25 - 4.0) |
| `audio_length` | float | null | Audio duration in seconds (max ~47s for `stable-audio-open-1.0`) |
| `audio_start` | float | 0.0 | Audio start time in seconds |
| `negative_prompt` | string | null | Text describing what to avoid in generation |
| `guidance_scale` | float | model default | Classifier-free guidance scale (higher = more adherence to prompt) |
| `num_inference_steps` | int | model default | Number of denoising steps (higher = better quality, slower) |
| `seed` | int | null | Random seed for reproducible generation |
### Response Format
Returns binary audio data with appropriate `Content-Type` header (e.g., `audio/wav`).
## Tuning Tips
1. **Audio Length**: Keep under 47 seconds for `stable-audio-open-1.0`.
2. **Quality vs Speed**:
- 50 steps: Fast, decent quality (quick previews)
- 100 steps: Good balance (general purpose)
- 150+ steps: High quality, slower (final / critical audio)
3. **Guidance Scale**:
- Lower (3 - 5): More creative / varied output
- Default (7): Good balance
- Higher (10+): Strict adherence to the prompt
4. **Negative Prompts**: Use to avoid unwanted characteristics such as `"Low quality"`, `"distorted"`, `"noisy"`.
5. **Seeds**: Set a fixed seed to get deterministic, reproducible results.
## File Description
| File | Description |
|------|-------------|
| `curl_examples.sh` | Curl examples covering common use cases |
| `stable_audio_client.py` | Python client with full CLI argument support |
## Troubleshooting
1. **Audio generation model did not produce audio output**: Verify the server started successfully and the model loaded without errors.
2. **Connection refused**: Make sure the server is running on the correct port.
3. **Generation timeout**: Reduce `num_inference_steps` or `audio_length`, and check GPU memory with `nvidia-smi`.
4. **Out of memory**: Lower `--gpu-memory-utilization` or reduce `audio_length`.
5. **Audio quality issues**: Increase `num_inference_steps`, add a negative prompt, or raise `guidance_scale`.
## Example materials
??? abstract "stable_audio_client.py"
``````py
--8<-- "examples/online_serving/stable_audio/stable_audio_client.py"
``````
??? abstract "curl_examples.sh"
``````sh
--8<-- "examples/online_serving/stable_audio/curl_examples.sh"
``````