AI models
Taiyi-Stable Diffusion
Training compute
5.1×10²² FLOP
Parameters
1B
Published
Oct 31, 2022
Taiyi-Stable Diffusion is an AI model developed by IDEA CCNL (China), first published in October 2022. It works in the image generation domain, on tasks such as image generation and text-to-image.
Training it took an estimated 5.1×10²² FLOP of compute (estimation method: hardware). The model has 1,000,000,000 parameters. Training ran on 32 NVIDIA A100 for about 100 hours. The compute alone is estimated at $114K in 2023 dollars.
Access: Open weights (restricted use). Its weights are openly available. It is built on top of Stable Diffusion (LDM-KL-8-G). The reference paper has 139 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- IDEA CCNL
- Country of organization
- China
- Domain
- Image generation
- Task
- Image generation, Text-to-image
- Training compute
- 5.1×10²² FLOP
- Compute estimation method
- Hardware
- Parameters
- 1,000,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 32
- Training time
- 100 h
- Training power draw
- 25.6 kW
- Training cost (2023 USD)
- $114K
- Model accessibility
- Open weights (restricted use)
- Open weights
- Yes
- Base model
- Stable Diffusion (LDM-KL-8-G)
- Citations
- 139
- 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.
← All ai models