anton-l/ddpm-ema-flowers-64

🤗 Hugging Face sourceapache-2.05.5 GBother✓ 2 checksumsupdated today

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ddpm-ema-flowers-64

Model description

This diffusion model is trained with the 🤗 Diffusers library on the huggan/flowers-102-categories dataset.

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training data

[TODO: describe the data used to train the model]

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 16
gradient_accumulation_steps: 1
optimizer: AdamW with betas=(0.95, 0.999), weight_decay=1e-06 and epsilon=1e-08
lr_scheduler: cosine
lr_warmup_steps: 500
ema_inv_gamma: 1.0
ema_inv_gamma: 0.75
ema_inv_gamma: 0.9999
mixed_precision: no

Training results

📈 TensorBoard logs