Topaz Low Resolution V2

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

execute_forge({
  "base_model_id": "topaz-low-resolution-v2-upscale-image",
  "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/topaz-low-resolution-v2-upscale-image/inferences \
  -H "Authorization: Bearer $LAYER_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "guidance_file_init_image": [
          {
            "url": "https://example.com/input.png"
          }
        ]
      }'

# 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"

upscale_factor

enumdefault 22, 4

How many times larger the output is than the source.

target_region

enumdefault ALLALL, SUBJECT, BACKGROUND

The part of the image the model works on.

face_enhancement

booleandefault true

Restore faces in a separate pass.

face_enhancement_strength

number0–1

How strongly faces are restored. Applies with face enhancement on.

face_enhancement_creativity

number0–1

How much new facial detail is invented. Applies with face enhancement on.

denoise

number0–1

Removes noise and grain from the source.

compression_repair

number0–1

Removes blocking and ringing left by JPEG or video compression.

sharpness

number0–1

How much the result is sharpened.

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.