Wan-2.2-S2V turns images and speech into high-fidelity videos with realistic face and body motion; supports up to 10-minute clips in 480p, from $0.15/5s. Ready-to-use REST API, no coldstarts, affordable pricing.
Ocioso
$0.15por execução·~66 / $10
Wan-2.2-S2V is a video model that generates high-quality videos from static images and audio, with realistic facial expressions, body movements, and professional camera work for film and television applications.
Our endpoint starts with $0.15 per 5 seconds (480p) or $0.3 per 5 seconds (720p) video generation and supports a maximum generation length of 10 minutes.
Wan-2.2-S2V leverages advanced AI technology to understand both audio signals and visual information.
Audio Analysis: Wan-2.2-S2V uses a powerful audio encoder (Wav2Vec) to understand the nuances of speech, including rhythm, tone, and pronunciation patterns.
Visual Understanding: Built on the robust Wan2.2 video diffusion model (you can visit our Wan2.2 workflow for t2v/i2v eneration), Wan-2.2-S2V understands human anatomy, facial expressions, and body movements.
Perfect Synchronization: Through sophisticated attention mechanisms, Wan-2.2-S2V learns to perfectly align lip movements with audio while maintaining natural facial expressions and body language.
Instruction Following: Unlike simpler methods, Wan-2.2-S2V can follow text prompts to control the scene, pose, and overall behavior while maintaining audio synchronization.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/speech-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read URLs from data.outputs. Examples for Wan 2.2 Speech To Video below.
# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/speech-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"audio": "https://example.com/your-audio.mp3",
"resolution": "480p",
"seed": -1
}'
# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
--retry 4 --retry-all-errors --retry-delay 1 \
-X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.// npm install wavespeed
const { Client } = require('wavespeed');
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);
try {
const result = await client.run("wavespeed-ai/wan-2.2/speech-to-video", {
"image": "https://example.com/your-input.jpg",
"audio": "https://example.com/your-audio.mp3",
"resolution": "480p",
"seed": -1
}, {
timeout: 3600,
pollInterval: 2.0,
});
console.log(result.outputs);
} catch (error) {
console.error('Generation failed:', error);
process.exitCode = 1;
}# pip install wavespeed
import os
from wavespeed import Client
client = Client(api_key=os.environ["WAVESPEED_API_KEY"])
try:
output = client.run(
"wavespeed-ai/wan-2.2/speech-to-video",
{
"image": "https://example.com/your-input.jpg",
"audio": "https://example.com/your-audio.mp3",
"resolution": "480p",
"seed": -1
},
timeout=3600.0,
poll_interval=2.0,
)
print(output["outputs"])
except Exception as error:
raise SystemExit(f"Generation failed: {error}") from errorWan 2.2 Speech To Video is a WaveSpeedAI model for talking-avatar generation, exposed as a REST API on WaveSpeedAI. Wan-2.2-S2V turns images and speech into high-fidelity videos with realistic face and body motion; supports up to 10-minute clips in 480p, from $0.15/5s. Ready-to-use REST API, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.2-speech-to-video.
Wan 2.2 Speech To Video starts at $0.15 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `image`, `audio`, `resolution`, `seed`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.2-speech-to-video.
Average end-to-end generation time on WaveSpeedAI is around 416 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.