YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

TBSM pretrained assets

This directory contains the pretrained generator backbones and representation models referenced by the TBSM training configurations. Stable Diffusion VAE assets are intentionally excluded.

Naming

Generator checkpoints follow {source}_{architecture}_{dataset}_{resolution}_{space}_{role}.pt. Representation checkpoints retain the public model family, training dataset, and input resolution in their names.

Source mapping

Release name Original asset
jit_b16_in1k_256_pixel_backbone.pt JiT-B/16 ImageNet-1K 256px backbone
jit_b16_in1k_256_pixel_fd_backbone.pt JiT-B/16 FD-loss tuning initialization
pixeldit_xl_in1k_256_pixel_ema_backbone.pt PixelDiT-XL ImageNet-1K 256px EMA backbone
pixeldit_xl_in1k_512_pixel_ema_backbone.pt PixelDiT-XL ImageNet-1K 512px EMA backbone
ucgm_dit_xl2_in1k_256_sdvae_backbone.pt UCGM DiT-XL/2 ImageNet-1K 256px SD-VAE backbone
ucgm_dit_xl4_in1k_512_sdvae_backbone.pt UCGM DiT-XL/4 ImageNet-1K 512px SD-VAE backbone
mae_vit_b16_in1k_224.pth MAE ViT-B/16 ImageNet-1K checkpoint
torchvision_resnet18_in1k_224.pth TorchVision ResNet-18 ImageNet-1K checkpoint
siglip2_vit_b16_webli_256/ SigLIP2 ViT-B/16 WebLI 256px checkpoint and config

Use sha256sum -c SHA256SUMS from this directory to verify the files.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support