lambdal / text-to-pokemon

Generate Pokémon from a text description

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  • 7.9M runs
  • GitHub
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Run time and cost

This model costs approximately $0.033 to run on Replicate, or 30 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 145 seconds. The predict time for this model varies significantly based on the inputs.

Readme

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 we made this model at Lambda Labs, read our blog post. Or if you want to train your own Stable Diffusion variants, see this example repo.

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

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).

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