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Uso

bytedance /

USO (Unified Style-Subject Optimized) by unifies style-driven and subject-driven generation to produce consistent outputs that blend artistic style with subject fidelity. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
입력

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대기 중

The girl stood by the sea watching the sunrise.

$0.08실행당·~12 / $1

다음:

예시전체 보기

The girl stood by the sea watching the sunrise.

The girl stood by the sea watching the sunrise.

Turn it into pixel art

Turn it into pixel art

A woman stands in the desert, gazing up at the starry sky.

A woman stands in the desert, gazing up at the starry sky.

The couple stood in front of the Disney castle.

The couple stood in front of the Disney castle.

The girl stood among the flowers.

The girl stood among the flowers.

The woman is walking down the runway.

The woman is walking down the runway.

관련 모델

README

USO (Unified Style-Subject Optimized)

USO (Unified Style-Subject Optimized) is a model developed by UXO Team that unifies style-driven and subject-driven generation tasks.

접근성:이 웹사이트는 제3자가 제공하는 AI 모델을 사용합니다.

Uso API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/uso 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 Uso below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bytedance/uso" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": 0,
    "sync_model": false
}'

# 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].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("bytedance/uso", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "seed": 0,
        "sync_model": false
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "bytedance/uso",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": 0,
    "sync_model": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Uso API — Frequently asked questions

What is the Uso API?

Uso is a ByteDance model for image editing, exposed as a REST API on WaveSpeedAI. USO (Unified Style-Subject Optimized) by unifies style-driven and subject-driven generation to produce consistent outputs that blend artistic style with subject fidelity. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Uso API?

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/bytedance/bytedance-uso.

How much does Uso cost per run?

Uso starts at $0.080 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.

What inputs does Uso accept?

Key inputs: `prompt`, `seed`, `reference_images`, `sync_model`. 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/bytedance/bytedance-uso.

How long does Uso take to generate?

Average end-to-end generation time on WaveSpeedAI is around 91 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Uso outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (ByteDance). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.