AI Models
Prism Steganography
Prism family Β· open weights on Hugging Face.
Neural steganography model that invisibly hides data inside images and recovers it losslessly.
Image To ImageSteganographyPyTorchPrismLicence: apache-2.0
0
Likes
94
Downloads
Jul 2026
Created
/ Model card
Built for production use
Open-weights repository on Hugging Face
Integrated ecosystem protocol tier.
Compatible with Transformers library
Integrated ecosystem protocol tier.
Optimised for low-latency inference
Integrated ecosystem protocol tier.
Community engagement: 0 likes
Integrated ecosystem protocol tier.
/ Quick start
Use Prism Steganography, straight from its model card.
example.pyfrom the model card
from huggingface_hub import hf_hub_download
import torch, importlib.util, json
model_file = hf_hub_download(repo_id="olaverse/prism-steganography", filename="model.py")
ckpt_file = hf_hub_download(repo_id="olaverse/prism-steganography", filename="pytorch_model.pt")
config_file = hf_hub_download(repo_id="olaverse/prism-steganography", filename="config.json")
spec = importlib.util.spec_from_file_location("model", model_file)
model_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(model_module)
config = json.load(open(config_file))
checkpoint = torch.load(ckpt_file, map_location="cpu")
encoder = model_module.StegEncoder(**config)
encoder.load_state_dict(checkpoint["encoder"])
encoder.eval()
decoder = model_module.StegDecoder(**config)
decoder.load_state_dict(checkpoint["decoder"])
decoder.eval()
/ Model card
Official repository README
Dynamically loaded from Hugging Face
Model card metadata is available on Hugging Face.
/ Built with
Transformers PyTorch Python
Ready to try Prism Steganography?
Neural steganography model that invisibly hides data inside images and recovers it losslessly.
/ Model ecosystem