The 'Meshy 6: Multi-Image to Model' workflow is designed to transform a series of images into a high-quality 3D model. By leveraging the MeshyMultiImageToModelNode, this workflow allows for the integration of multiple images to enhance detail capture and ensure accurate proportions in the resulting 3D model. This process is further refined with the MeshyRefineNode, which cleans up the mesh structure for a more polished output. The workflow also includes nodes like MeshyTextureNode and MeshyAnimateModelNode to apply textures and animations, providing a comprehensive toolset for 3D model creation. The inclusion of Preview3D and SaveGLB nodes allows users to visualize and export their models easily. This workflow is particularly useful for applications requiring detailed and accurate 3D representations, such as virtual reality, gaming, and digital art.
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
// Install (beta)
npm i @comfyorg/sdk
// Run "Meshy 6: Multi-Image to Model" (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
// This workflow, exported in API format (see note below)
const wf = await client.workflows.fromFile("api_meshy_multi_image_to_model_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("8", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("14")[0].toFile("output.png"); // SaveGLBThe SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).
Comfy Cloud API access requires a plan with an API key.
FAQ
