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Download image/README.md from Dankker0900/Birectional_Cross-Modal_Flow_Matching: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/Dankker0900/Birectional_Cross-Modal_Flow_Matching/resolve/main/image/README.md
- Command line
-
hf download hf://Dankker0900/Birectional_Cross-Modal_Flow_Matching/image/README.md
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curl -L -o README.md https://huggingface.co/Dankker0900/Birectional_Cross-Modal_Flow_Matching/resolve/main/image/README.md
1.09 kB
BVFM image/text weights
Files
bvfm_image_step40000.pt(3,230,123,258 bytes): selected bidirectional BVFM checkpoint at step 40,000. Formatflowtok_bvfm_shared_variational_v2; contains the shared vector field, pair posterior, text/image inference priors, and AR caption decoder. It has no optimizer state.FlowTiTok_512.bin(1,560,616,638 bytes): released 512px FlowTiTok tokenizer required by both T2I decoding and I2T image encoding.
Training-only initializers FlowTok-XL.pth and decoder_init.pt are not part
of this deployment package.
SHA-256
4fe414c46bb1b25781178e0f01f71047194fcc3af42eebeaf596f72386f0b6a3 bvfm_image_step40000.pt
9169d1e02b8e8fe1bff8a97796b3f1171415c44a1a125c050f7138805b13ebc8 FlowTiTok_512.bin
With the GitHub code, either set BVFM_WEIGHTS_ROOT to the downloaded model
repository root or pass the files explicitly:
export FLOWTITOK_CKPT=/path/to/model-repo/image/FlowTiTok_512.bin
python scripts/infer_t2i.py \
--checkpoint /path/to/model-repo/image/bvfm_image_step40000.pt \
--output-dir runs/demo