WaveSpeed UGC Video Generator creates authentic, creator-style videos from text prompts and optional reference images with native audio, natural motion, and relatable aesthetics. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
就绪
$0.8每次运行·~12 / $10
100-meter sprint energy: guy sprints full speed down a long office corridor, camera tracking at ground level, tie flapping, coffee sloshing, slow-mo on the final leap to grab the door handle — steps inside, smooths hair, says "sorry, traffic." Room stares. Cinematic motion blur the entire run.
A time-lapse of the aurora borealis rippling over a frozen tundra, camera slowly tilting up from icy ground to the full sky, vivid greens and purples dancing, stars fading as dawn breaks on the horizon. Cinematic, 8K, ultra-wide lens.
UGC Video Generator produces authentic, creator-style videos with native audio from text prompts and optional reference images. Designed for user-generated content at scale, it delivers natural-looking clips with relatable aesthetics, organic motion, and the kind of casual-yet-polished feel that drives engagement on social platforms and ad networks.
Authentic UGC Aesthetic Generates videos that feel like real creator content — natural lighting, organic camera movement, and genuine character expressions that audiences trust and engage with.
Native Audio Every video includes synchronized sound — ambient effects, music, and dialogue with precise lip-sync. No separate audio production needed.
Creator-Style Motion Natural, handheld-feel camera work with organic pacing. None of the over-polished, obviously-AI look — just authentic, relatable movement.
Reference Image Support Upload up to 4 reference images to maintain consistent characters, products, or brand identity across UGC campaigns.
Scale UGC Production Generate hundreds of unique UGC-style variations from a single brief. Test hooks, angles, and styles without hiring creators or scheduling shoots.
Flexible Formats Supports 16:9, 9:16, 4:3, and 3:4 to match any platform or placement.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the scene, creator persona, product interaction, mood |
| images | No | Up to 4 reference images for product, character, or brand |
| aspect_ratio | No | 16:9 (default), 9:16, 4:3, or 3:4 |
| duration | No | 5 (default), 10, or 15 seconds |
| Duration | Cost |
|---|---|
| 5 s | $0.80 |
| 10 s | $1.60 |
| 15 s | $2.40 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ugc-video-generator with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Ugc Video Generator below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ugc-video-generator" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/ugc-video-generator", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/ugc-video-generator",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"duration": 5
}
)
print(output["outputs"][0]) # → URL of the generated outputUgc Video Generator is a WaveSpeedAI model for video generation, exposed as a REST API on WaveSpeedAI. WaveSpeed UGC Video Generator creates authentic, creator-style videos from text prompts and optional reference images with native audio, natural motion, and relatable aesthetics. Ready-to-use REST inference API, best performance, no cold starts, 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ugc-video-generator.
Ugc Video Generator starts at $0.80 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`, `images`, `aspect_ratio`, `duration`. 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/ugc-video-generator.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
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.