stevenwaterman

# sd_unet = UNet2DConditionModel.from_pretrained("./stable-diffusion-v1-5", subfolder="unet")
# any_unet = UNet2DConditionModel.from_pretrained("./anything-v3", subfolder="unet")
# pipe = StableDiffusionPipeline(
#     vae = ,
#     text_encoder = ,
#     tokenizer = ,
#     unet = MultiUnet([(sd_unet, 0.4), (any_unet, 0.6)], "cuda"),
#     scheduler = ,
#     safety_checker = ,
#     feature_extractor = 

stevenwaterman

type Tail<XS extends readonly any[]> = XS extends readonly [any, ...infer T] ? T : [];
type Last<XS extends readonly any[]> = XS extends readonly [...infer _, infer X] ? X : never;
type UnionToIntersection<U> = (U extends any ? (k: U)=>void : never) extends ((k: infer I)=>void) ? I : never;
type Equal<A, B> = A extends B ? B extends A ? true : false : false;

type PipelineStage<Input, Config extends Record<any, unknown>, Output> = (input: Input, config: Config) => Output;

type Input<Stage extends PipelineStage<any, any, any>> = Parameters<Stage>[0];
type Config<Stage extends PipelineStage<any, any, any>> = Parameters<Stage>[1];
type Output<Stage extends PipelineStage<any, any, any>> = ReturnType<Stage>;

stevenwaterman

name: AutomaticHost
on:
  push:
    branches: 
      - {BRANCH_NAME}
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v2

stevenwaterman

public class Duplicates {
    private static <T> BiFunction<Processing<T>, T, Processing<T>> getReducer(){
        return (acc, elem) -> {
            if (acc.uniques.contains(elem)) {
                acc.dupes.add(elem);
            } else {
                acc.uniques.add(elem);
            }
            return acc;
        };