Meshy T2
Meshy T2 from Meshy generates the mesh itself rather than reconstructing it from a volume: vertices, edges, and faces come out of a single pass, so the result is a compact triangle mesh whose parts are separately connected. It takes a text prompt or one image, targets a face budget between 100 and 15,000, textures the result with Meshy's standard texturing and optional PBR maps, and can rig and animate a humanoid character in the same run. Output is always triangles. Reach for it when the asset has to ship at a low polygon count.
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Meshy T2 from Meshy generates the mesh itself rather than reconstructing it from a volume: vertices, edges, and faces come out of a single pass, so the result is a compact triangle mesh whose parts are separately connected. It takes a text prompt or one image, targets a face budget between 100 and 15,000, textures the result with Meshy's standard texturing and optional PBR maps, and can rig and animate a humanoid character in the same run. Output is always triangles. Reach for it when the asset has to ship at a low polygon count.
Connect Claude, Cursor, VS Code, or Codex to Layer’s MCP server and Meshy T2 becomes a tool your agent can reach for — it picks the parameters, runs the generation, and shows you the result in the conversation.
https://mcp.app.layer.ai/mcpAsk your agent
“Use Meshy T2 to model a wooden treasure chest with iron bands, game-ready.”
execute_forge({
"base_model_id": "meshy-t2",
"prompt": "A wooden treasure chest with iron bands, game-ready",
"batch_size": 1
})Authenticate with a personal access token, post the model’s own form, and poll the inference until it completes. Every field below is accepted by this endpoint.
# Start the generation — returns an inference id straight away.
curl -X POST https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/base-models/meshy-t2/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
- face_limit integerdefault 4000100–15000
- The maximum number of faces in the output mesh.
- include_textures booleandefault true
- pbr_materials booleandefault false
- enable_rigging boolean
- pose_mode enumdefault NONENONE, A_POSE, T_POSE
- guidance_file_init_image file[]
- The image the 3D model is built from
- guidance_file_texture_image file[]
- Texture applied to the 3D model
- prompt_language string
Why use Meshy T2 for 3D?
High-quality 3D generation
Meshy T2 produces clean geometry, accurate proportions, and detailed surfaces suitable for game-ready assets and prototyping.
Engine-ready output
Exports in standard formats compatible with Unity, Unreal Engine, and Blender. PBR materials and clean topology where supported.
Rapid prototyping
Go from concept to 3D asset in minutes. Ideal for early-stage exploration, shop items, and LiveOps content.
Rapid 3D asset prototyping for game development
Go from concept image to 3D model in minutes. Ideal for evaluating designs, testing in-engine, and building asset libraries.
Shop items and cosmetic content for LiveOps
Generate 3D items, weapons, and cosmetics for live service updates. Keep your content pipeline flowing without bottlenecks.
Marketing renders and promotional 3D content
Create polished 3D renders for store listings, social media, and ad creatives without heavy production overhead.
FAQ
How much does Meshy T2 cost? Is it free?+
How does Layer's pricing work?+
There are no seat fees, feature gates, or plans on Layer. Instead, our platform uses a consumption based system with Creative Units (CUs) with a flexible monthly subscription. Every generation on Layer (image, video, 3D, or audio) consumes a Creative Unit, and you only pay for what you create.
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