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DALL-E mega

Training compute
2.3×10²² FLOP
Published
Jun 28, 2022

DALL-E mega is an AI model developed by Craiyon (United States), first published in June 2022. It works in the image generation domain, on tasks such as text-to-image and image generation.

Training it took an estimated 2.3×10²² FLOP of compute (estimation method: hardware). Training ran on 128 Google TPU v3 for about 1.3K hours.

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

Full record
Organization
Craiyon
Country of organization
United States
Domain
Image generation
Task
Text-to-image, Image generation
Training compute
2.3×10²² FLOP
Compute estimation method
Hardware
Training hardware
Google TPU v3
Chips used
128
Training time
1,344 h
Chip-hours
172K
Training power draw
115.5 kW
Model accessibility
Open weights (unrestricted)
Open weights
Yes
Epoch confidence
Confident
More from Craiyon
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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