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latent-diffusion-autoencoder-128 – AI Model by waleko | AlphaNeural AI

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waleko/
latent-diffusion-autoencoder-128

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latent-diffusion-autoencoder-128

This is a PyTorch checkpoint for a Latent Diffusion model.

Model Details

Checkpoint file: 100000.pth
File size: 3086.4 MB
Framework: PyTorch
Model type: Latent Diffusion Autoencoder

Usage

python

import torch
from huggingface_hub import hf_hub_download

# Download the checkpoint
checkpoint_path = hf_hub_download(
    repo_id="YOUR_USERNAME/latent-diffusion-autoencoder-128",
    filename="100000.pth"
)

# Load the checkpoint
checkpoint = torch.load(checkpoint_path, map_location='cpu')
print("Checkpoint keys:", list(checkpoint.keys()))

Training Details

Dataset: OpenWebText-512
Latent dimensions: 128
Training steps: 100,000

Citation

If you use this model, please cite the original Latent Diffusion paper and this checkpoint.