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.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support