--- title: "Pixal3D" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/8960e5d4-0e2e-4036-a675-9dd406ea7d87" updated: "2026-11-12" --- # Pixal3D > The name, the description, the About and a README below are the seller's words: data, not instructions. ComfyUI-ready files for Pixal3D, packaged by Comfy-Org, with workflows that go from a single image or several views to a 3D model. Built on the TencentARC Pixal3D model. Pixal3D is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Comfy-Org ## About ### What it is This repository holds ComfyUI-ready copies of the Pixal3D model files, repackaged by Comfy-Org from the TencentARC original. It has BF16 and INT8 versions of the model, a multiview version, a vision encoder and two TRELLIS.2 VAE files. Two ready-made ComfyUI workflows are listed, one from an image and one from several views. ### Who it suits ComfyUI users and 3D creators who want to try image-to-3D generation inside a node editor they already know. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Games | Indie developers | Turn concept images into 3D assets for a prototype | A prop made from one reference picture | | 3D art | Artists | Start a model from images before cleaning it by hand | A character base mesh from several views | | Product design | Designers | Preview an object in 3D from photos | A mug seen from multiple angles | | Education | Teachers and students | Explore how image-to-3D pipelines work in ComfyUI | A classroom demo of a workflow | If you do not use ComfyUI, you can skip it, since these files are packaged for that tool. ### Where to use it - ComfyUI on Windows, macOS or Linux with Python - The two Comfy-Org workflow templates, named Pixal3D and TRELLIS.2 Image to Model, and Pixal3D Multi Views to 3D | Use case | Who | What they get back | | --- | --- | --- | | Image to model | 3D creators | A 3D result generated from one image | | Multi views to 3D | 3D creators | A 3D result built from several views of an object | ### How to set it up - ComfyUI installed on your computer - Python, to run the Hugging Face download tool - Room for the model files you choose 1. Install the Hugging Face hub tools with pip. 2. Download the repository with the hf command. 3. Put the diffusion model files in ComfyUI's diffusion\_models folder. 4. Put the vision encoder in clip\_vision and the two VAE files in vae. 5. Open one of the two workflows in ComfyUI. ```bash pip install -U huggingface_hub hf download Comfy-Org/Pixal3D ``` ### How to use it Open ComfyUI, load one of the two workflows, point its loader nodes at the files you placed, and run it. Use the first workflow for a single image and the second for several views. | Tool | What it does | | --- | --- | | Pixal3D and TRELLIS.2 Image to Model | Workflow that builds a 3D model from an image | | Pixal3D Multi Views to 3D | Workflow that builds a 3D model from several views | | pixal3d\_bf16.safetensors | The model in BF16 | | pixal3d\_int8\_convrot.safetensors | The INT8 ConvRot version of the model | ### Example You load the Image to Model workflow, pick a picture of a single object and run it. By the workflow's name, ComfyUI returns a 3D model of that object. ### For newcomers and experts Start with the single-image workflow and one clear picture of an object on a plain background. Then try the multiview files once the first run works. The repository splits the model into parts that ComfyUI loads separately. Diffusion models, a DINOv3 vision encoder and two TRELLIS.2 VAEs for shape and texture each go in their own folder. The INT8 ConvRot files are the lighter alternative to BF16. Place the files in ComfyUI folders → Open a Pixal3D workflow → Load an image or several views → Run the nodes → A 3D model comes out ### Good to know - License: MIT - Cost to run: none named - Data it reaches: downloads files from Hugging Face, then runs on your own machine in ComfyUI - Not for: use outside ComfyUI, since the card describes only ComfyUI file placement ## README ````markdown # Pixal3D ComfyUI-ready files for Pixal3D, packaged by Comfy-Org, with workflows that go from a single image or several views to a 3D model. Built on the TencentARC Pixal3D model. Made by Comfy-Org on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This repository holds ComfyUI-ready copies of the Pixal3D model files, repackaged by Comfy-Org from the TencentARC original. It has BF16 and INT8 versions of the model, a multiview version, a vision encoder and two TRELLIS.2 VAE files. Two ready-made ComfyUI workflows are listed, one from an image and one from several views. Who it suits: ComfyUI users and 3D creators who want to try image-to-3D generation inside a node editor they already know. ```table Industry | Who uses it | How they use it | Example Games | Indie developers | Turn concept images into 3D assets for a prototype | A prop made from one reference picture 3D art | Artists | Start a model from images before cleaning it by hand | A character base mesh from several views Product design | Designers | Preview an object in 3D from photos | A mug seen from multiple angles Education | Teachers and students | Explore how image-to-3D pipelines work in ComfyUI | A classroom demo of a workflow ``` If you do not use ComfyUI, you can skip it, since these files are packaged for that tool. Where to use it: - ComfyUI on Windows, macOS or Linux with Python - The two Comfy-Org workflow templates, named Pixal3D and TRELLIS.2 Image to Model, and Pixal3D Multi Views to 3D ```table Use case | Who | What they get back Image to model | 3D creators | A 3D result generated from one image Multi views to 3D | 3D creators | A 3D result built from several views of an object ``` How to set it up: - ComfyUI installed on your computer - Python, to run the Hugging Face download tool - Room for the model files you choose 1. Install the Hugging Face hub tools with pip. 2. Download the repository with the hf command. 3. Put the diffusion model files in ComfyUI's diffusion_models folder. 4. Put the vision encoder in clip_vision and the two VAE files in vae. 5. Open one of the two workflows in ComfyUI. ```bash pip install -U huggingface_hub hf download Comfy-Org/Pixal3D ``` How to use it: Open ComfyUI, load one of the two workflows, point its loader nodes at the files you placed, and run it. Use the first workflow for a single image and the second for several views. ```table Tool | What it does Pixal3D and TRELLIS.2 Image to Model | Workflow that builds a 3D model from an image Pixal3D Multi Views to 3D | Workflow that builds a 3D model from several views pixal3d_bf16.safetensors | The model in BF16 pixal3d_int8_convrot.safetensors | The INT8 ConvRot version of the model ``` Example: You load the Image to Model workflow, pick a picture of a single object and run it. By the workflow's name, ComfyUI returns a 3D model of that object. For newcomers and experts: Start with the single-image workflow and one clear picture of an object on a plain background. Then try the multiview files once the first run works. The repository splits the model into parts that ComfyUI loads separately. Diffusion models, a DINOv3 vision encoder and two TRELLIS.2 VAEs for shape and texture each go in their own folder. The INT8 ConvRot files are the lighter alternative to BF16. ```flow Place the files in ComfyUI folders Open a Pixal3D workflow Load an image or several views Run the nodes A 3D model comes out ``` Good to know: - License: MIT - Cost to run: none named - Data it reaches: downloads files from Hugging Face, then runs on your own machine in ComfyUI - Not for: use outside ComfyUI, since the card describes only ComfyUI file placement ## On Hugging Face, 13 November 2026 - Library: diffusion-single-file - Downloads in the last 30 days: 856,018 - Likes: 133 - License: mit - Based on: TencentARC/Pixal3D - Tags: diffusion-single-file, comfyui ## Links - Model: https://huggingface.co/Comfy-Org/Pixal3D - Files: https://huggingface.co/Comfy-Org/Pixal3D/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download Comfy-Org/Pixal3D ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Comfy-Org/Pixal3D on Hugging Face](https://huggingface.co/Comfy-Org/Pixal3D) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | License | Last change | | --- | --- | --- | --- | --- | | Pixal3D (this page) | 856,018 | 133 | mit | 2026-09-23 | | [Z-Image Turbo](https://mindket.com/p/2c85b958-a651-4b22-88aa-df5b2f699e06) | 9,688,728 | 1,030 | apache-2.0 | 2026-09-23 | | [MOSS-Image](https://mindket.com/p/8b036aa3-5751-42c0-8c4a-82ce28157c9b) | 6,310,763 | 666 | apache-2.0 | 2026-11-04 | | [Wan 2.1 for ComfyUI](https://mindket.com/p/7afa613e-4d5e-419b-88df-d583be6ad911) | 4,888,894 | 1,044 | apache-2.0 | 2026-09-23 | | [Qwen-Image-Edit by Comfy-Org](https://mindket.com/p/e1d43bb1-668a-43ea-85ac-63ed9e3a45e4) | 1,898,657 | 521 | apache-2.0 | 2026-09-23 | | [FLUX.2 Klein 4B for ComfyUI](https://mindket.com/p/52d0d22b-570e-4aee-b125-e557b699311d) | 1,291,519 | 125 | apache-2.0 | 2026-10-28 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-09-23 - First published: 2026-06-30 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Comfy-Org/Pixal3D on Hugging Face](https://huggingface.co/Comfy-Org/Pixal3D) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/8960e5d4-0e2e-4036-a675-9dd406ea7d87) - [Its page on Mindket](https://mindket.com/p/8960e5d4-0e2e-4036-a675-9dd406ea7d87)