DreamActor 2.0

POST/v1/run

DreamActor M2.0 by ByteDance generates videos by animating a reference image using motion from a driving video. It replicates motion, facial expressions, and lip movements from the template video while preserving the subject and background features of the input image.

Request body

Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.

stringmodelrequired

Model identifier. Set to bytedance/dreamactor/2.0.

Default: bytedance/dreamactor/2.0

stringimagerequired

The URL of the reference image to animate. Supports real people, animation, pets, etc. Format: jpeg, jpg or png. Max size: 4.7 MB. Resolution: between 480x480 and 1920x1080 (larger images will be proportionally reduced).

Optional<string>video

The URL of the driving template video providing motion, facial expressions, and lip movement reference. Max duration: 30 seconds. Format: mp4, mov or webm. Resolution: between 200x200 and 2048x1440. Supports full face and body driving.

Optional<boolean>trim_first_second

Whether to crop the first second of the output video. The output has a 1-second transition at the beginning; enable this to remove it.

Default: true

Response Schema

The submit endpoint returns an accepted generation task. Poll the result endpoint with the returned id for terminal outputs or errors.

Optional<string>error

Error message if the task failed. Empty on success.

stringidrequired

Unique identifier for the generation task.

Optional<string>model

Model ID used for the prediction.

Optional<array>outputs

Array of generated content. Empty when status is not completed.

stringstatusrequired

Status of the task: pending, running, completed, failed, or timeout.

Allowed values: pending, running, completed, failed, timeout

Model capabilities

array<string>capability_tagsrequired

Capabilities declared by the model registry.

Default: video-to-video

stringexecution_moderequired

Execution mode declared by the model registry.

Default: async

# 1. Submit a generation request
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "bytedance/dreamactor/2.0",
  "image": "https://static.sandbase.ai/examples/bytedance/dreamactor/2.0/input_image_0.png",
  "video": "https://static.sandbase.ai/examples/bytedance/dreamactor/2.0/input_video_1.mp4"
}'

# 2. If the response is still running, poll the returned id
curl https://api.sandbase.ai/v1/run/run_abc123 \
  -H "Authorization: Bearer $SANDBASE_API_KEY"

Response202 Accepted

{
  "id": "run_abc123",
  "model": "bytedance/dreamactor/2.0",
  "status": "running",
  "outputs": []
}