Qwen-Image Layered

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

execute_forge({
  "base_model_id": "qwen-image-layered",
  "prompt": "A crystal sword icon on a transparent background, game UI art",
  "batch_size": 4,
  "width": 1024,
  "height": 1024
})

# Start the generation — returns an inference id straight away.
curl -X POST https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/base-models/qwen-qwen-image-layered/inferences \
  -H "Authorization: Bearer $LAYER_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "prompt": "A crystal sword icon on a transparent background, game UI art"
      }'

# 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.

layer_count

integerdefault 41–10

How many separate layers to split the image into.

negative_prompt

string

What to keep out of the result.

quality

enumdefault HIGHLOW, MEDIUM, HIGH

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 51–20

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

inference_steps

integerdefault 281–50

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

guidance_file_init_image

file[]required

The image to modify

output_fit

any

Trim the transparent margin, and place the image on a canvas of a fixed size.

prompt_language

string

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