LTX Video 2.3 Quality Clean Plate

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

execute_forge({
  "base_model_id": "lightricks-ltx-v2-3-quality-clean-plate",
  "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/lightricks-ltx-v2-3-quality-clean-plate/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.

negative_prompt

string

What to keep out of the result.

quality

enumdefault XHIGH4 options

Higher levels render more detail, and can take longer and cost more.

seed

integer

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

guidance_scale

numberdefault 11–20

How closely the result follows the prompt. Lower gives the model more freedom.

inference_steps

integerdefault 158–30

How many refinement passes the model makes. More add detail and take longer.

generate_audio

booleandefault false

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

guidance_file_init_video

file[]required

The video to modify

prompt_language

string

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