Make-A-Scene

Training compute

6.4×10²¹ FLOP

Parameters

4B

Published

Mar 24, 2022

Make-A-Scene is an AI model developed by Meta AI (United States), first published in March 2022. It works in the image generation domain, on tasks such as image generation and text-to-image.

Training it took an estimated 6.4×10²¹ FLOP of compute (estimation method: operation counting). The model has 4,000,000,000 parameters. It was trained on roughly 267.4B datapoints.

Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Meta AI
Country of organization: United States
Domain: Image generation
Task: Image generation, Text-to-image
Training compute: 6.4×10²¹ FLOP
Compute estimation method: Operation counting
Parameters: 4,000,000,000
Dataset size: 267.4B
Model accessibility: Unreleased
Open weights: No
Epoch confidence: Likely