justinpinkney/pokemon-stable-diffusion

Stable Diffusion fine tuned on Pokémon by Lambda Labs.

Put in a text prompt and generate your own Pokémon character, no "prompt engineering" required!

If you want to find out how to train your own Stable Diffusion variants, see this example from Lambda Labs.

Girl with a pearl earring, Cute Obama creature, Donald Trump, Boris Johnson, Totoro, Hello Kitty

Usage

Make sure you have setup the Stable Diffusion repo and downloaded ema-only-epoch=000142.ckpt

 python scripts/txt2img.py \
    --prompt 'robotic cat with wings' \
    --outdir 'outputs/generated_pokemon' \
    --H 512 --W 512 \
    --n_samples 4 \
    --config 'configs/stable-diffusion/pokemon.yaml' \
    --ckpt ema-only-epoch=000142.ckpt

You can also use the normal stable diffusion inference config.

Model description

Trained on BLIP captioned Pokémon images using 2xA6000 GPUs on Lambda GPU Cloud for around 15,000 step (about 6 hours, at a cost of about $10).

Links

• Lambda Diffusers
• Captioned Pokémon dataset
• Model weights in Diffusers format
• Original model weights
• Training code

Trained by Justin Pinkney (@Buntworthy) at Lambda Labs.