Wan 3.0 Reference

https://mcp.app.layer.ai/mcp

execute_forge({
  "base_model_id": "wan-3.0-reference",
  "prompt": "A torch-lit dungeon corridor, slow dolly forward",
  "batch_size": 1,
  "duration_seconds": 2
})

# Start the generation — returns an inference id straight away.
curl -X POST https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/base-models/alibaba-wan-3-0-reference/inferences \
  -H "Authorization: Bearer $LAYER_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "prompt": "A torch-lit dungeon corridor, slow dolly forward"
      }'

# Poll until status is "complete" — the response then carries the asset URLs.
curl https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/inferences/$INFERENCE_ID \
  -H "Authorization: Bearer $LAYER_TOKEN"

prompt

string

Describe what to generate, or the change to make.

aspect_ratio

enumdefault LANDSCAPE_16_9_1080p19 options

The shape and size of the output. Auto follows the shape of the input.

prompt_enhancement

enumdefault AUTOAUTO, OFF, STANDARD

Let the model rewrite the prompt before generating.

seed

integer

The starting point for the model's randomness. The same seed and settings give the same result.

duration_seconds

integerdefault 2

Length of the generated clip, in seconds.

generate_audio

booleandefault false

Add sound, generated with the video in the same pass.

guidance_file_first_frame

file[]

The frame the video starts on

guidance_file_reference_image

file[]

Guides style and content without being modified

guidance_file_reference_video

file[]

Guides style and motion without being modified

guidance_file_reference_audio

file[]

Guides style and voice without being modified

prompt_language

string

The language the prompt is written in, so it reaches the model as you meant it.