Hunyuan Video LoRA Inference
/v1/runHunyuan Video Lora by Tencent - generate cinematic videos from text descriptions with AI. Create high-quality video content with natural motion, camera control, and optional audio generation.
Request body
Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.
Model identifier. Set to tencent/hunyuan-video-lora.
Default: tencent/hunyuan-video-lora
The prompt to generate the video from.
The aspect ratio of the generated image.
Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16
The resolution of the video to generate.
Allowed values: 480p, 580p, 720p
Default: 720p
The seed to use for generating the video.
The number of frames to generate.
Allowed values: 129, 85
Default: 129
The LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image.
Default:
By default, generations are done with 35 steps. Pro mode does 55 steps which results in higher quality videos but will take more time and cost 2x more billing units.
Default: false
Response Schema
The submit endpoint returns an accepted generation task. Poll the result endpoint with the returned id for terminal outputs or errors.
Error message if the task failed. Empty on success.
Unique identifier for the generation task.
Model ID used for the prediction.
Array of generated content. Empty when status is not completed.
Status of the task: pending, running, completed, failed, or timeout.
Allowed values: pending, running, completed, failed, timeout
Model capabilities
Capabilities declared by the model registry.
Default: text-to-video
Execution mode declared by the model registry.
Default: async

