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Eminemminem

BlenderMCP

by Eminemminem

generate_hyper3d_model_via_images

Create 3D models with built-in materials from images and import them into Blender for 3D asset generation.

Instructions

Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated 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:

  • input_image_paths: The absolute paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.

  • input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.

  • bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.

Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode. Returns a message indicating success or failure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_image_pathsNo
input_image_urlsNo
bbox_conditionNo

Implementation Reference

  • The core handler function for the 'generate_hyper3d_model_via_images' MCP tool. It validates input images (either paths or URLs), encodes path-based images to base64, processes bbox_condition using helper, and sends a 'create_rodin_job' command to Blender addon via socket. The @mcp.tool() decorator registers the tool and infers schema from signature/docstring.
    @mcp.tool() def generate_hyper3d_model_via_images( ctx: Context, input_image_paths: list[str]=None, input_image_urls: list[str]=None, bbox_condition: list[float]=None ) -> str: """ Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated 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: - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode. - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode. - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model. Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode. Returns a message indicating success or failure. """ if input_image_paths is not None and input_image_urls is not None: return f"Error: Conflict parameters given!" if input_image_paths is None and input_image_urls is None: return f"Error: No image given!" if input_image_paths is not None: if not all(os.path.exists(i) for i in input_image_paths): return "Error: not all image paths are valid!" images = [] for path in input_image_paths: with open(path, "rb") as f: images.append( (Path(path).suffix, base64.b64encode(f.read()).decode("ascii")) ) elif input_image_urls is not None: if not all(urlparse(i) for i in input_image_paths): return "Error: not all image URLs are valid!" images = input_image_urls.copy() try: blender = get_blender_connection() result = blender.send_command("create_rodin_job", { "text_prompt": None, "images": images, "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)}"
  • Helper function used by the tool to normalize bbox_condition into percentages (0-100) based on max dimension, handling float/int inputs.
    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
  • Utility tool to check Hyper3D status, prerequisite for using the generation tools.
    def get_hyper3d_status(ctx: Context) -> str: """ Check if Hyper3D Rodin integration is enabled in Blender. Returns a message indicating whether Hyper3D Rodin features are available. Don't emphasize the key type in the returned message, but sliently remember it. """ try: blender = get_blender_connection() result = blender.send_command("get_hyper3d_status") enabled = result.get("enabled", False) message = result.get("message", "") if enabled: message += "" return message except Exception as e: logger.error(f"Error checking Hyper3D status: {str(e)}") return f"Error checking Hyper3D status: {str(e)}"

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