Lucky-Lance
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69b05d3
update 512x512 imagenet
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3B_512_1900000/consolidated_ema_ternary.00-of-01.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e066d36563fb552d791454211cf1cd0bbc0da9e9e4abb683898e2c29be28d159
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size 1099456738
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3B_512_1900000/model_args.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:3078153d1923da994716058c4b4eed1c21e8ecfe8a6845d0a37c060dd77cc68e
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size 885
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README.md
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This repository contains the trained model for the paper "TerDiT: Ternary Diffusion Models with Transformers"
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4.2B model: [TerDiT-4.2B](https://huggingface.co/lucky-lance/TerDiT/tree/main/3B_1180000)
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600M model: [TerDiT-600M](https://huggingface.co/lucky-lance/TerDiT/tree/main/600M_1750000)
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This repository contains the trained model for the paper "TerDiT: Ternary Diffusion Models with Transformers"
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256x256 4.2B model: [TerDiT-4.2B](https://huggingface.co/lucky-lance/TerDiT/tree/main/3B_1180000)
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256x256 600M model: [TerDiT-600M](https://huggingface.co/lucky-lance/TerDiT/tree/main/600M_1750000)
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512x512 4.2B model: [TerDiT-4.2B](https://huggingface.co/lucky-lance/TerDiT/tree/main/3B_512_1900000)
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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!
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