generate_hyper3d_model_via_text
Create 3D models from text descriptions and import them directly into Blender with pre-built materials, using optional size ratio controls for customization.
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 |
|---|---|---|---|
| bbox_condition | No | ||
| text_prompt | Yes |
Implementation Reference
- src/blender_mcp/server.py:527-561 (handler)The handler function for the 'generate_hyper3d_model_via_text' tool. Decorated with @mcp.tool() for registration and schema definition via function signature and docstring. Creates a Hyper3D Rodin job using text prompt and optional bbox_condition, processed by helper.@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)}"
- src/blender_mcp/server.py:518-525 (helper)Supporting helper function used by the tool to normalize bbox_condition into a list of integers between 0 and 100.def _process_bbox(original_bbox: list[float] | list[int] | None) -> list[int] | None: if original_bbox is None: return None if all(isinstance(i, int) for i in original_bbox): return original_bbox if any(i<=0 for i in original_bbox): raise ValueError("Incorrect number range: bbox must be bigger than zero!") return [int(float(i) / max(original_bbox) * 100) for i in original_bbox] if original_bbox else None
- src/blender_mcp/server.py:527-527 (registration)The @mcp.tool() decorator registers the function as an MCP tool, inferring schema from signature and docstring.@mcp.tool()