SeedEdit 3.0 enables prompt-guided image editing for precise object, scene, and layout changes without disrupting composition. Ready-to-use REST API, high performance, no coldstarts, affordable pricing.
就绪

$0.027每次运行·~37 / $1

Rainbow colored short curly hair

"A bright yellow cartoon school bus arriving at a jungle bus stop. The bear and the monkey in matching school uniforms (navy blazer, white shirt, gray shorts, caps with 'B' and 'M') prepare to board. The monkey looks confident, the bear looks clumsy. Background with jungle trees and vines."

Become an Anime Dog.

Become cyberpunk style.

Change "love" to "seed"

Turn the scene into daytime

The cat is in its owner's arms.

Turn the bubble into a heart shape.

Remove all pedestrians except the one in the middle.

Make the girl look realistic.
SeedEdit v3 is a prompt-based image editing model for fast, high-quality transformations. Provide a source image and a short instruction, and the model performs targeted edits—such as changing hair, clothing, colors, backgrounds, or adding/removing elements—while keeping the overall composition and identity stable.
| Output | Price |
|---|---|
| Per image | $0.027 |
For clean edits, be explicit about what must stay the same:
Template: Keep [identity/pose/background]. Change [target]. Maintain [lighting/style realism].
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seededit-v3 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 Seededit v3 below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bytedance/seededit-v3" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"guidance_scale": 0.5,
"seed": -1,
"enable_base64_output": 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].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("bytedance/seededit-v3", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"guidance_scale": 0.5,
"seed": -1,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"bytedance/seededit-v3",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"guidance_scale": 0.5,
"seed": -1,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputSeededit v3 is a ByteDance model for image editing, exposed as a REST API on WaveSpeedAI. SeedEdit 3.0 enables prompt-guided image editing for precise object, scene, and layout changes without disrupting composition. Ready-to-use REST API, high performance, 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 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-seededit-v3.
Seededit v3 starts at $0.027 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`, `seed`, `guidance_scale`, `enable_base64_output`. 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-seededit-v3.
Average end-to-end generation time on WaveSpeedAI is around 16 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 (ByteDance). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.