LTH14/fractalgen

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1247 stars · 66 forks observed · 2026-10-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of Fractal Generative Models (FractalGen), enabling pixel-by-pixel high-resolution image generation. It includes pre-trained models on ImageNet 64x64/256x256, a Colab demo, and DDP training/evaluation scripts.

Use cases

• generate high-resolution images pixel by pixel
• run pretrained fractal generative models in a colab notebook
• train an autoregressive image generation model on imagenet
• reproduce results from the fractal generative models paper
• experiment with novel generative model architectures in pytorch

When to choose

• you want to reproduce or extend the FractalGen paper
• you need pixel-by-pixel high-resolution image generation with pretrained checkpoints
• you want a simple PyTorch research codebase for generative models

When to avoid

• you need production-ready image generation APIs
• you lack GPU resources for large 400M+ parameter models
• you need text-to-image or diffusion-based generation

Facets

library · maturity active

machine-learning deep-learning image-processing llm-training deep-learning machine-learning image-processing artificial-intelligence python pytorch generative-models image-generation research-code pretrained-models autoregressive fractal gpu

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