ModelPrésentéExterne

TerDiT

This repository contains the trained model for the paper "TerDiT: Ternary Diffusion Models with Transformers"

Sourcehuggingface.co/lucky-lance/TerDiT/tree/95795f0e2af93e93b8759b78dabd815d4a55efe3

TypeOtherVersionRevision 95795f0

Source du modèle

Type: Other
Taille du fichier: 885 B–1,02 GB
Version: vRevision 95795f0
Mis à jour: 15 sept. 2026
Téléchargements: 0
Source: Hugging Face

Description de la source

TerDiT

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 source

Hugging FacePrincipalVersion 95795f0e2af93e93b8759b78dabd815d4a55efe3

huggingface.co/lucky-lance/TerDiT/tree/95795f0e2af93e93b8759b78dabd815d4a55efe3

Vérifié 15 sept.

Artefacts du modèle

6 artefacts

3B_1180000/consolidated_ema_ternary.00-of-01.pth

pth · 1,02 GB · SHA-256 3d4185f98a50…4982 · Hugging Face

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3B_1180000/model_args.pth

pth · 885 B · SHA-256 73cbf340454e…7f73 · Hugging Face

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Extraits de sources

2 extraits

Readme15 sept.huggingface.co/lucky-lance/TerDiT

--- 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!