ddim-butterflies-128#
README(From Huggingface)#
ddim-butterflies-128#
Model description#
This diffusion model is trained with the 🤗 Diffusers library
on the huggan/smithsonian_butterflies_subset 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: 32
eval_batch_size: 32
gradient_accumulation_steps: 1
optimizer: AdamW with betas=(None, None), weight_decay=None and epsilon=None
lr_scheduler: None
lr_warmup_steps: 250
ema_inv_gamma: None
ema_inv_gamma: None
ema_inv_gamma: None
mixed_precision: fp16
Training results#
Model Files#
README.md (1.3 KB)
model_index.json (186.0 B)
scheduler/scheduler_config.json (279.0 B)
unet/config.json (788.0 B)
unet/model_state.pdparams (433.7 MB)