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generate_hyper3d_model_via_text

Create 3D models with materials in Blender using text descriptions. Generate assets with normalized sizing and optional dimension controls for imported 3D objects.

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
NameRequiredDescriptionDefault
bbox_conditionNo
text_promptYes

Implementation Reference

  • The handler function for 'generate_hyper3d_model_via_text' tool. Decorated with @mcp.tool() for registration. Defines input schema via parameters (text_prompt: str, bbox_condition: list[float]=None). Sends 'create_rodin_job' command to Blender with text prompt and optional bbox_condition (processed by helper). Returns JSON with task details or error.
    @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)}"
  • Supporting helper function used to normalize the bbox_condition parameter into a list of integers scaled relative to the maximum value (0-100 range). Called within the handler.
    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

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