AI models
Diffusion-GAN
Published
Jun 5, 2022
Diffusion-GAN is an AI model developed by UT Austin and Microsoft (United States), first published in June 2022. It works in the image generation domain, on tasks such as image generation and text-to-image.
Epoch AI has no training-compute estimate for this model. Training ran on NVIDIA V100.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 327 citations.
Full record
- Organization
- UT Austin, Microsoft
- Country of organization
- United States
- Domain
- Image generation
- Task
- Image generation, Text-to-image
- Training hardware
- NVIDIA V100
- Numerical format
- FP16
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 327
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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