generate_hyper3d_model_via_text
Create 3D models from text descriptions and import them into Blender with built-in materials. Use text prompts to generate assets and optional bounding boxes to control dimensions.
Instructions
Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender. The 3D asset has built-in materials. The generated model has a normalized size, so re-scaling after generation can be useful.
Parameters:
text_prompt: A short description of the desired model in English.
bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.
Returns a message indicating success or failure.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text_prompt | Yes | ||
| bbox_condition | No |
Implementation Reference
- src/blender_mcp/server.py:805-840 (handler)The implementation of the `generate_hyper3d_model_via_text` tool, which registers with the MCP server and triggers a Hyper3D job via a Blender connection.
@telemetry_tool("generate_hyper3d_model_via_text") @mcp.tool() def generate_hyper3d_model_via_text( ctx: Context, text_prompt: str, bbox_condition: list[float]=None ) -> str: """ Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender. The 3D asset has built-in materials. The generated model has a normalized size, so re-scaling after generation can be useful. Parameters: - text_prompt: A short description of the desired model in **English**. - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model. Returns a message indicating success or failure. """ try: blender = get_blender_connection() result = blender.send_command("create_rodin_job", { "text_prompt": text_prompt, "images": None, "bbox_condition": _process_bbox(bbox_condition), }) succeed = result.get("submit_time", False) if succeed: return json.dumps({ "task_uuid": result["uuid"], "subscription_key": result["jobs"]["subscription_key"], }) else: return json.dumps(result) except Exception as e: logger.error(f"Error generating Hyper3D task: {str(e)}") return f"Error generating Hyper3D task: {str(e)}"