Tripo AI is a company focused on generative AI 3D modeling. It provides user-friendly platforms and API services that can quickly convert text prompts or 2D images (single or multiple) into high-quality 3D models. ComfyUI has now natively integrated the corresponding Tripo API, allowing you to conveniently use the related nodes in ComfyUI for model generation.

Currently, ComfyUI’s API nodes support the following Tripo model generation capabilities:

  • Text-to-model
  • Image-to-model
  • Multi-view model generation
  • Rig model
  • Retarget rigged model

To use the API nodes, you need to ensure that you are logged in properly and using a permitted network environment. Please refer to the API Nodes Overview section of the documentation to understand the specific requirements for using the API nodes.

Text-to-Model Workflow

1. Workflow File Download

Download the file below and drag it into ComfyUI to load the corresponding workflow.

Download Json Format Workflow File

2. Complete the Workflow Execution Step by Step

You can refer to the numbers in the image to complete the basic text-to-model workflow execution:

  1. In the Tripo: Text to Model node, input your prompt in the prompt field
    • model: You can select different models, currently only v1.4 model supports subsequent optimization with Tripo: Refine Draft model
    • style: You can set different styles
    • texture_quality: You can set different texture qualities
  2. Click the Run button, or use the shortcut Ctrl(cmd) + Enter to execute model generation. After the workflow completes, the corresponding model will be automatically saved to the ComfyUI/output/ directory
  3. In the Preview 3D node, click to expand the menu
  4. Select Export to directly export the corresponding model

Image-to-Model Workflow

1. Workflow File Download

Download the file below and drag it into ComfyUI to load the corresponding workflow.

Download Json Format Workflow File

Download the image below as input image

2. Complete the Workflow Execution Step by Step

You can refer to the numbers in the image to complete the basic image-to-model workflow execution:

  1. In the Load Image node, load the provided input image
  2. In the Tripo: Image to Model node, modify the corresponding parameter settings
    • model: You can select different models, currently only v1.4 model supports subsequent optimization with Tripo: Refine Draft model
    • style: You can set different styles
    • texture_quality: You can set different texture qualities
  3. Click the Run button, or use the shortcut Ctrl(cmd) + Enter to execute model generation. After the workflow completes, the corresponding model will be automatically saved to the ComfyUI/output/ directory
  4. For model download, please refer to the instructions in the text-to-model section

Multi-view Model Generation Workflow

1. Workflow File Download

Download the file below and drag it into ComfyUI to load the corresponding workflow.

Download Json Format Workflow File

Download the images below as input images

2. Complete the Workflow Execution Step by Step

You can refer to the numbers in the image to complete the basic multi-view to model workflow execution:

  1. In the Load Image nodes, load the provided input images respectively
  2. In the Tripo: Image to Model node, modify the corresponding parameter settings
    • model: You can select different models, currently only v1.4 model supports subsequent optimization with Tripo: Refine Draft model
    • style: You can set different styles
    • texture_quality: You can set different texture qualities
  3. Click the Run button, or use the shortcut Ctrl(cmd) + Enter to execute model generation. After the workflow completes, the corresponding model will be automatically saved to the ComfyUI/output/ directory
  4. For other view inputs, you can refer to the step diagram and set the corresponding node mode to Always to enable it
  5. For model download, please refer to the instructions in the text-to-model section

Subsequent Task Processing for the Same Task

Tripo’s corresponding nodes provide subsequent processing for the same task, you only need to input the corresponding model_task_id in the relevant nodes, and we have also provided the corresponding nodes in the relevant templates, you can also modify the corresponding node mode as needed to enable it