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README.md

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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.