LoRA Training
Train Video LoRA
Train a LoRA adapter on a video dataset to capture motion or stylistic patterns.
POST
Train a LoRA adapter on a curated video dataset. Captures motion
patterns, camera language, or stylistic treatments that the base
video models don’t expose directly.
Authorization
string
required
Bearer token.
Bearer API_key.Request Body
string
required
Reference to the training dataset. Accepts either:
- A URL to a zip archive of training clips (mp4 / mov)
- A file id returned from file upload
string
required
Stable snake-case identifier for the trained adapter. Passed as
lora_name on video generation calls.Tips
- Clip length: 3–10 seconds per clip is ideal; longer clips are automatically chunked.
- Dataset size: 8–20 clips for motion adapters.
- Camera consistency: when training a camera-move adapter, keep the lensing and movement consistent across the dataset.
- Status: poll Training Status
with the returned
task_id.