# Linum

> Open‑source text‑to‑image model for cheap inference

Source: https://rankcert.com/product/linum
Website: https://www.linum.ai
Verification: Unverified
Upvotes: 0
Launch week: unscheduled · Updated: 2026-11-04

## Verified signals

- No signals submitted. This listing is unverified.

## About

Linum is a text‑to‑image diffusion model released by a two‑person research lab. It abandons the traditional VAE‑based latent diffusion pipeline in favor of an efficient pixel‑space architecture, called Pyramid‑JiT, that converges 11× faster and reduces inference cost 4×. The model was trained on 660 million samples for roughly $20 k and is released under Apache 2.0 weights for the community.

## Questions

### What is the cost of training Linum?

The model was trained for approximately $20 k on 660 million samples.

### Under what license are the weights released?

The weights are released under the Apache 2.0 license.

### How does Linum differ from latent diffusion models?

Linum removes the VAE stage, trains directly in pixel space, converges 11× faster, and reduces inference cost 4×.

### Is Linum suitable for video generation?

The lab views Linum as a stepping stone toward cheaper video models, since most video models start from an image backbone.

Tags: generative ai, diffusion models, video, text‑to‑image