AIFIRST Developer Trains 210M Parameter Diffusion Transformer from Scratch on One GPU
The brief
A developer trained a 210 million parameter text-to-image diffusion transformer from scratch using rectified flow on 4.2 million curated images at 256 resolution, completing the run in 3.5 days on a single GPU.
Key points
- The project focused on hands-on flow model training experience rather than fine-tuning existing checkpoints.
Sources
- redditreddit.com