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latent-diffusion-autoencoder-128
waleko/latent-diffusion-autoencoder-128
latent-diffusion-autoencoder-128 is a machine learning model from waleko. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a PyTorch checkpoint for a Latent Diffusion model.
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Public
Updated Sep 27, 2025
Repo size
3.2 GB
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.pth3.2 GB · 100%
At a glance
- Access
- Public
- Created
- Sep 27, 2025
- Updated
- Sep 27, 2025
- SHA
- ddec885b
Model card
From the Hugging Face model README
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
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.
- Created
- Sep 27, 2025
- Updated
- Sep 27, 2025