AI models
Stable Diffusion 1.4
Training compute
5×10²² FLOP
Published
Aug 22, 2022
Stable Diffusion 1.4 is an AI model developed by Ludwig Maximilian University of Munich (Germany), first published in August 2022. It works in the image generation domain, on tasks such as image generation and text-to-image.
Training it took an estimated 5×10²² FLOP of compute (estimation method: hardware). Training ran on 256 NVIDIA A100 PCIe.
Access: Open weights (restricted use). Its weights are openly available. It is built on top of Stable Diffusion 1.2. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Ludwig Maximilian University of Munich
- Country of organization
- Germany
- Domain
- Image generation
- Task
- Image generation, Text-to-image
- Training compute
- 5×10²² FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA A100 PCIe
- Chips used
- 256
- Training power draw
- 153.9 kW
- Model accessibility
- Open weights (restricted use)
- Open weights
- Yes
- Base model
- Stable Diffusion 1.2
- Epoch confidence
- Confident
More from Ludwig Maximilian University of Munich
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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