SeedVR2 text embedding β€” safetensors conversion

An unofficial conversion of SeedVR2's fixed positive text embedding from a PyTorch pickle to safetensors. SeedVR2 takes no prompt: it is conditioned on this precomputed embedding. The values are ByteDance's; nothing was recomputed or modified.

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

File

File Converted from Contents
text.safetensors pos_emb.pt one tensor, positive, BF16, shape [58, 5120]

The negative embedding (neg_emb.pt) is not included.

Conversion

import torch
from safetensors.torch import save_file

positive = torch.load("pos_emb.pt", map_location="cpu")
save_file({"positive": positive}, "text.safetensors")

License

Apache 2.0, as the original release. The only change is the file format.

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