Resolve when we find out.

If they do not use tokens, resolve NA. This situation seems highly unlikely since OpenAI has repeatedly stated that they used Diffusion Transformers.

We only focus on the latent diffusion model part. If they also used Transformers for the VAE compression, we ignore that part.

For reference:

• The Original ViT uses 16 by 16 tokens for a picture of 256* 256 pixels. This architecture did not use VAE to compress to latent space.

• Gemini 1.5 Pro uses 300 tokens per second.

• LLaVA-UHD uses up to 5k tokens for 4k resolution images.