Pixal3D: Multi Views to 3D turns a 4-view character or product turnaround into a textured 3D mesh. The Preprocess Multiview Images group takes either a single multi-view sheet or separate front, back, left, and right images. It can optionally remove the background (LoadBackgroundRemovalModel + RemoveBackground) to isolate the subject and improve consistency. CLIPVisionLoader provides vision conditioning from the views that drives the multi-view reconstruction.
Under the hood, the workflow builds shape first, then texture, and finally bakes it to a UV map. Sparse Structure Generation initializes a 3D latent with EmptyTrellis2LatentStructure. Shape Generation uses Trellis2ShapeStage with ModelSamplingSD3 and KSampler to refine the latent volume into geometry, while CFGOverride and RescaleCFG keep guidance behavior aligned with the original pipeline. VaeDecodeStructureTrellis2/VaeDecodeShapeTrellis turn the latent into a dense voxel grid, VoxelToMesh converts it to a watertight mesh, and DecimateMesh reduces polygon count. Texture Generation uses Trellis2TextureStage (optionally boosted by Trellis2UpsampleStage) and VaeDecodeTextureTrellis to predict appearance, with VAELoader loading the trellis_2_texture_vae_bf16.safetensors VAE. Finally, UnwrapMesh creates UVs and BakeTextureFromVoxel transfers colors to a texture atlas. PreviewImage nodes provide quick visual checks throughout.
The result is a practical, view-consistent 3D model built directly from your turnaround sheet—ideal when you need a clean starting mesh and texture without manual modeling. The multi-view conditioning keeps silhouettes aligned across views and reduces guesswork compared to single-image reconstruction.
API
코드에서 이 워크플로우 사용하기
모든 Comfy 워크플로우는 JSON 그래프입니다. 아래 페이로드는 이 워크플로우 그 자체로, ComfyUI에서 실행되는 것과 동일합니다 — URL에서 가져오거나, 버전 관리에 보관하거나, ComfyUI에서 불러와 노드별로 실행할 수 있습니다.
Comfy SDK로 TypeScript 또는 Python에서 실행하세요. 동일한 코드는 Comfy Cloud 또는 직접 호스팅하는 ComfyUI 모두에 적용됩니다 — 기본 URL만 다릅니다.
// Install (beta)
npm i @comfyorg/sdk
// Run this workflow (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
const wf = await client.workflows.fromFile("workflow_api.json");
const job = await client.run(wf);
await job.getOutputs("<output-node-id>")[0].toFile("output.png");SDK는 API 형식의 워크플로우를 사용합니다: 이 워크플로우를 ComfyUI에서 열고 파일 → 워크플로우 내보내기(API)를 사용하세요.













