Stable Diffusion 2.1

Training compute

6.7×10²² FLOP

Published

Dec 7, 2022

Stable Diffusion 2.1 is an AI model developed by Stability AI (United Kingdom), first published in December 2022. It works in the image generation domain, on tasks such as image generation and text-to-image.

Training it took an estimated 6.7×10²² FLOP of compute (estimation method: hardware). Training ran on 256 NVIDIA A100 SXM4 40 GB.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Stability AI
Country of organization: United Kingdom
Domain: Image generation
Task: Image generation, Text-to-image
Training compute: 6.7×10²² FLOP
Compute estimation method: Hardware
Training hardware: NVIDIA A100 SXM4 40 GB
Chips used: 256
Chip-hours: 200K
Training power draw: 204.7 kW
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident