MONET
- Type
- dataset
- Venue
- jasperai
- Year
- 2026
- Source
- huggingface
- Access
- free
- Language
- en
- Added
- 2026-07-17T20:02:46.938505+00:00
- Verified
- 2026-07-17T20:02:46.938505+00:00
Summary
A 4B-parameter latent diffusion model trained *exclusively* on MONET reaches competitive GenEval and DPG scores, demonstrating that MONET lowers the barrier to large-scale, reproducible text-to-image research.
Keywords
hf-dataset image-generation text-to-image image-text multimodal captioning synthetic-data has-paper
Topics
Image Generation
Research notes
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