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This started out as a fun experiment. I know there is already a Pokémon style model which is decently good, but I wanted to see how things could work with a LoRA instead. For v1 I didn't pay much attention to the dataset, but the result was still better than I expected, so I made a v2 which is much more consistent and can also do Pokémon characters and style in general.
Trigger words are sugimori ken \(style\)
, pokemon \(creature\)
(optional if you don't want to make humans) and all Pokémon names until XY (plus some more).
I've used it with AnyLoRA and AbyssOrangeMixV2 at 0.5 or 0.6 weight. Also use CLIP skip 2 and remember to generate relatively small images (max 768 w/h) and then upscale.
Since this thing was trained on like 800+ characters inside (up to XY + some random recent ones and many human characters), it cannot replicate characters perfectly, but it's still god enough to make Pokémon fusions (like Blastoise + Venusaur in the examples), especially with inpainting as a guide (which I didn't use for the examples). It's also good at creating completely new Pokémon and trainers. Use no humans, pokemon \(creature\)
if you want to create Pokémon only.
Last pic taken from @lottalewds' review.
How to use LoRA's in auto1111:
Update webui (use git pull
like here or redownload it)
Copy the file to stable-diffusion-webui/models/lora
Select your LoRA like in this video
Make sure to change the weight (by default it's :1
which is usually too high)
Go ahead and upload yours!
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