P-Video Edit

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

execute_forge({
  "base_model_id": "pruna-p-video-edit",
  "prompt": "A torch-lit dungeon corridor, slow dolly forward",
  "batch_size": 1
})

# Start the generation — returns an inference id straight away.
curl -X POST https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/base-models/pruna-p-video-edit/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

stringrequired

Describe what to generate, or the change to make.

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.

guidance_file_init_video

file[]required

The video to modify

guidance_file_reference_image

file[]

Guides style and content without being modified

prompt_language

string

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