AI models
StyleGAN-XL
Training compute
1.3×10²¹ FLOP
Published
May 5, 2022
StyleGAN-XL is an AI model developed by Max Planck Institute for Intelligent Systems and University of Tübingen (Germany), first published in May 2022. It works in the image generation domain, on tasks such as image generation.
Training it took an estimated 1.3×10²¹ FLOP of compute (estimation method: hardware). Training ran on NVIDIA V100.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Max Planck Institute for Intelligent Systems, University of Tübingen
- Country of organization
- Germany
- Domain
- Image generation
- Task
- Image generation
- Training compute
- 1.3×10²¹ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA V100
- Chip-hours
- 9.6K
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Likely
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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