README.md

# 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.