DistSeal
Official implementation of DistSeal, a unified framework for latent watermarking that works across both diffusion and autoregressive models. In the 🚀 Usage sections, we show examples of in-model watermarking and post-hoc latent watermarking for the diffusion model DC-AE and the autoregressive model RAR. We provide the model checkpoints from the paper, as well as the training code to reproduce them.
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Release files for distseal 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| distseal-0.0.2.tar.gz | 5.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| distseal-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.1 kB
Release files / distseal-0.0.2.tar.gz
| Download URL | distseal-0.0.2.tar.gz |
|---|---|
| Size | 5.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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python-requests/2.32.5
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Release files / distseal-0.0.2-py3-none-any.whl
| Download URL | distseal-0.0.2-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.32.5
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