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This repository contains the trained model for the paper "TerDiT: Ternary Diffusion Models with Transformers"
Model source
Source description
This repository contains the trained model for the paper "TerDiT: Ternary Diffusion Models with Transformers"
Code: https://github.com/Lucky-Lance/TerDiT
256x256 4.2B model: TerDiT-4.2B
256x256 600M model:
Sources
1 sourceVerified Sep 15
Model artifacts
6 artifactsSource excerpts
2 excerpts--- datasets: - imagenet-1k language: - en license: mit pipeline_tag: unconditional-image-generation tags: - art --- # TerDiT This repository contains the trained model for the paper ["TerDiT: Ternary Diffusion Models with Transformers"](https://huggingface.co/papers/2405.14854) Code: https://github.com/Lucky-Lance/TerDiT 256x256 4.2B model: [TerDiT-4.2B](https://huggingface.co/lucky-lance/TerDiT/tree/main/3B_1180000) 256x256 600M model: [TerDiT-600M](https://huggingface.co/lucky-lance/TerDiT/tree/main/600M_1750000) 512x512 4.2B model: [TerDiT-4.2B](https://huggingface.co/lucky-lance/TerDiT/tree/main/3B_512_1900000) The codebase is extended from [Large-DiT-ImageNet](https://github.com/Alpha-VLLM/LLaMA2-Accessory/tree/main/Large-DiT-ImageNet) and highly motivated by [Lumina-T2X](https://github.com/Alpha-VLLM/Lumina-T2X). Thanks for their awesome work!
512x512 4.2B model: TerDiT-4.2B
The codebase is extended from Large-DiT-ImageNet and highly motivated by Lumina-T2X. Thanks for their awesome work!
3B_512_1900000/consolidated_ema_ternary.00-of-01.pth
pth · 1.02 GB · SHA-256 e066d36563fb…d159 · Hugging Face
600M_1750000/consolidated_ema_ternary.00-of-01.pth
pth · 167 MB · SHA-256 f69aef910be0…2fb0 · Hugging Face
DownloadSource context: 0 downloads · 13 likes · Pipeline unconditional-image-generation · Repo lucky-lance/TerDiT
