Rodin Gen-2

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

execute_forge({
  "base_model_id": "rodin-gen-2",
  "prompt": "A wooden treasure chest with iron bands, game-ready",
  "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/hyper3d-rodin-gen-2/inferences \
  -H "Authorization: Bearer $LAYER_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "prompt": "A wooden treasure chest with iron bands, game-ready"
      }'

# 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.

seed

integer

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

face_limit

integerdefault 500000500–1000000

The maximum number of faces in the output mesh.

quad_mesh

boolean

Build the mesh from four-sided faces, which are easier to edit and rig than triangles.

include_textures

booleandefault true

Paint colour onto the mesh. Off returns bare geometry.

pbr_materials

booleandefault false

Add metalness, roughness and normal maps so the model reacts to light in a game engine.

pose_mode

enumdefault NONENONE, T_POSE

The pose a character is built in. An A-pose or T-pose is easier to rig.

guidance_file_init_image

file[]

The image the 3D model is built from

prompt_language

string

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