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miluELK/ddpm-ema-pokemon-128
ddpm-ema-pokemon-128 is a machine learning model from miluELK. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as afl-3.0.
Downloads · 30 days
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From the Hugging Face model README
huggan/few-shot-pokemon
The following hyperparameters were used during training:
--checkpointing_steps=1000
--dataset_name="huggan/few-shot-pokemon"
--resolution=128
--output_dir="ddpm-ema-pokemon-128"
--train_batch_size=16
--eval_batch_size=16
--num_epochs=100
--gradient_accumulation_steps=1
--learning_rate=1e-4
--lr_warmup_steps=800
--mixed_precision="fp16"
--push_to_hub
📈 TensorBoard logs