TeleStyle 2.0

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

execute_forge({
  "base_model_id": "telestyle-v2",
  "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/telestyle-v2/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"

negative_prompt

string

What to keep out of the result.

quality

enumdefault HIGHMEDIUM, 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 10–20

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

inference_steps

integerdefault 42–50

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

guidance_file_init_image

file[]required

The image to modify

guidance_file_reference_image

file[]required

Guides the edit