FoundationVision/Infinity

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1587 stars · 93 forks observed · 2026-08-28

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

Infinity is a bitwise autoregressive text-to-image generation model (CVPR 2025 Oral) with released training and inference code, checkpoints up to 8B parameters, and an image tokenizer (BitVAE). It enables high-resolution image synthesis via visual autoregressive modeling.

Use cases

• generate high-resolution images from text prompts
• train a text-to-image autoregressive model
• train an image tokenizer like BitVAE
• run interactive text-to-image inference in a notebook
• research visual autoregressive modeling as an alternative to diffusion

When to choose

• you want autoregressive (non-diffusion) text-to-image generation
• you need open weights and training code for high-resolution image synthesis
• you are researching visual autoregressive or bitwise token modeling

When to avoid

• you need a lightweight CPU-only image generator
• you want a polished end-user product rather than research code
• you lack access to high-end GPUs for inference or training

Facets

library · maturity active

machine-learning deep-learning image-processing transformers llm-training deep-learning image-processing artificial-intelligence computer-vision python text-to-image autoregressive-modeling image-synthesis var bitwise-tokenizer generative-model cvpr-2025 gpu linux

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For agents

markdown · JSON · MCP: product_card(name="FoundationVision/Infinity")