Instructions to use chibifire/Pixal3D-Comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use chibifire/Pixal3D-Comfy with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Pixal3D-Comfy
Pixal3D model files repackaged for ComfyUI, in the ComfyUI models folder layout.
What it is for
This repo holds the Pixal3D weights repackaged as single safetensors files for ComfyUI.
It has standard and multiview diffusion models in bf16 and int8 form, a DINO vision encoder, and the TRELLIS.2 shape and texture VAEs.
The folders match the ComfyUI models subfolders, so a download drops into place.
It also holds a JSON test file.
Provenance
- Upstream model: TencentARC/Pixal3D, the
base_modelin the header.
Use
hf download chibifire/Pixal3D-Comfy --local-dir ComfyUI/models --include "diffusion_models/*" "clip_vision/*" "vae/*"
This puts the diffusion models in models/diffusion_models, the vision encoder in models/clip_vision and the VAEs in models/vae.
For model details, read the upstream model card.
Licence
MIT, the upstream licence. Terms: https://opensource.org/license/mit.
- Downloads last month
- 103
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for chibifire/Pixal3D-Comfy
Base model
TencentARC/Pixal3D