Pixal3D GGUF setup on 6GB VRAM vs Trellis 2

This tutorial covers Pixal3D GGUF installation and image-to-3D generation in ComfyUI, followed by comparisons with Trellis 2. The presenter describes Pixal3D as built on Tencent's Trellis 2 and released under the MIT license for commercial use.

The demonstrated local AI workflow requires an Nvidia RTX 20-series GPU or newer. The stated software prerequisites are Python 3.12, Torch 2.8 and CUDA 12.8 through ComfyUI Easy Install. The presenter says this setup does not support AMD GPUs or Macs. Installation starts with the Trellis 2 guide, then adds the GGUF installer and supplied workflows.

Q4 runs around 6GB VRAM in the examples, with some detail loss. The presenter describes Q8 as slower and more demanding but better at preserving detail. Full-model tests use about 12GB for shape generation and 16GB for texturing; these are reported measurements rather than guaranteed requirements. Initial runs also download models.

The walkthrough enables background removal and separates Pixal3D mesh generation from Trellis 2 texturing so users can revise the mesh before applying textures. Results favor Pixal3D for front-view character accuracy, while the presenter prefers Trellis 2 for the tested robot and building. Limitations include inferred back surfaces without multiview support, occasional rotation, weak textures and topology that needs cleanup.