PRX-1.2B
HoldTools
Photoroom’s 1.2B-parameter text-to-image foundation model used as the baseline in this study.
Why it's here
Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 5Hugging Face Blog·2/3/2026researchAblation Lessons for Training Text-to-Image Models
Hugging Face publishes the second part of Photoroom’s series on training efficient text-to-image foundation models from scratch. The post reviews a baseline Flow Matching setup for the PRX-1.2B model and examines which training changes improve convergence, stability, and efficiency in practice.