GRN 2B text-to-image β€” safetensors conversion

An unofficial conversion of the GRN (Generative Refinement Networks) 2B text-to-image checkpoint and its HBQ tokenizer from PyTorch pickles to safetensors. The weights are ByteDance's; nothing was retrained or modified.

For anything about the model itself β€” usage, training, results, citation β€” see the official pages above.

Files

File Converted from Notes
grn-t2i-2b-bf16.safetensors GRN_T2I_2B_FSA_251600.pth the transformer, cast to BF16
grn-hbq-tokenizer.safetensors HBQ_image_video_tokenizer_64dim_M4_20260626.ckpt the tokenizer (EMA weights), as stored
grn_convert.py the script used

Tensor names are unchanged. The text encoder (umT5-XXL) is not included; use the one from the official repository or any standard umT5-XXL encoder.

Conversion

Done on the CPU with torch.load(..., weights_only=True), keeping tensors only:

python grn_convert.py GRN_T2I_2B_FSA_251600.pth grn-t2i-2b-bf16.safetensors bf16
python grn_convert.py HBQ_image_video_tokenizer_64dim_M4_20260626.ckpt grn-hbq-tokenizer.safetensors

License

MIT, as the original release.

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