Stable Diffusion fine tuned on PokΓ©mon by Lambda Labs.
Put in a text prompt and generate your own PokΓ©mon 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 PokΓ©mon 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 PokΓ©mon dataset
- Model weights in Diffusers format
- Original model weights
- Training code
Trained by Justin Pinkney (@Buntworthy) at Lambda Labs.
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