dmme 0.5.2

Diffusion Models Made Easy

Diffusion Models Made Easy

Diffusion Models Made Easy(dmme) is a collection of easy to understand diffusion model implementations in Pytorch.

Documentation is available at https://diffusion-models-made-easy.readthedocs.io/en/latest/

Installation

Install from pip

pip install dmme

Install for customization or development

pip install -e ".[dev]"

Install dependencies for testing

pip install dmme[tests]

Install dependencies for editing documentation

pip install dmme[docs]

Train Diffusion Models

dmme uses LightningCLI as a cli interface for training and evaluation.

You can find sample configuration file in the configs directory

Using config files you can train DDPM by running

dmme.trainer fit --config configs/ddpm/cifar10.yaml

Or you can manually specify configurations for training

dmme.trainer fit --seed_everything 1337 \
    --trainer.accelerator gpu --trainer.precision 16 --trainer.benchmark true \
    --trainer.logger=pytorch_lightning.loggers.WandbLogger \
    --trainer.logger.project="CIFAR10_Image_Generation" \
    --trainer.logger.name="DDPM" \
    --trainer.gradient_clip_val=1.0 \
    --trainer.max_steps 800_000 \
    --model LitDDPM --data CIFAR10

Supported Diffusion Models

• DDPM
• DDIM
• IDDPM
• (WIP) Classifier Guidance