AI models
Lumina-Image-2.0
Training compute
4.8×10²¹ FLOP
Parameters
2.6B
Published
Mar 27, 2025
Lumina-Image-2.0 is an AI model developed by Shanghai AI Lab, University of Sydney, Chinese University of Hong Kong (CUHK), Shanghai Jiao Tong University and Krea AI (China, Australia, Hong Kong and United States), first published in March 2025. It works in the image generation domain, on tasks such as image generation and text-to-image.
Training it took an estimated 4.8×10²¹ FLOP of compute (estimation method: hardware). The model has 2,600,000,000 parameters. Training ran on NVIDIA A100.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Shanghai AI Lab, University of Sydney, Chinese University of Hong Kong (CUHK), Shanghai Jiao Tong University, Krea AI
- Country of organization
- China, Australia, Hong Kong, United States
- Domain
- Image generation
- Task
- Image generation, Text-to-image
- Training compute
- 4.8×10²¹ FLOP
- Compute estimation method
- Hardware
- Parameters
- 2,600,000,000
- Training hardware
- NVIDIA A100
- Chip-hours
- 14.2K
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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