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metadata
language:
  - en
license: creativeml-openrail-m
thumbnail: https://huggingface.co/Guizmus/PoW_Something/resolve/main/showcase.jpg
tags:
  - stable-diffusion
  - text-to-image
  - image-to-image

PoW : Something

Showcase

Theme

Model description

This is a model related to the "Picture of the Week" contest on Stable Diffusion discord.

I try to make a model out of all the submission for people to continue enjoy the theme after the even, and see a little of their designs in other people's creations. The token stays "PoW Style" and I balance the learning on the low side, so that it doesn't just replicate creations.

The total dataset is made of 50 pictures. It was trained on Stable diffusion 1.5. I used EveryDream to do the training, 100 total repeat per picture. The pictures were tagged using the token "PoW Style", and an arbitrary token I choose. The dataset is provided below, as well as a list of usernames and their corresponding token.

The recommended sampling is k_Euler_a or DPM++ 2M Karras on 20 steps, CFGS 7.5 .

Trained tokens

  • PoW Style
  • Token "ofi" corresponds to the user "dunkeroni"
  • Token "mohd" corresponds to the user "DrSen"
  • Token "rmb" corresponds to the user "FoodOfTheGods"
  • Token "dca" corresponds to the user "owleye"
  • Token "muc" corresponds to the user "LeafsPa"
  • Token "onex" corresponds to the user "Lew39"
  • Token "toid" corresponds to the user "Ainvas"
  • Token "sura" corresponds to the user "tazi"
  • Token "juli" corresponds to the user "Only-story"
  • Token "veli" corresponds to the user "Horvallis"
  • Token "gsp" corresponds to the user "Akumetsu971"
  • Token "tux" corresponds to the user "katmoget"
  • Token "tvc" corresponds to the user "dony"
  • Token "pbc" corresponds to the user "scottie"
  • Token "pgs" corresponds to the user "piscabo"
  • Token "rps" corresponds to the user "Junglerally"
  • Token "dbz" corresponds to the user "Overduet"
  • Token "soca" corresponds to the user "DylanWalker"
  • Token "suru" corresponds to the user "IkariDev"
  • Token "nips" corresponds to the user "espasmo"
  • Token "rune" corresponds to the user "Onusai"
  • Token "pafc" corresponds to the user "vcm07"
  • Token "nlwx" corresponds to the user "sometimes"
  • Token "fck" corresponds to the user "bWm_nubby"
  • Token "cae" corresponds to the user "Kazzear"
  • Token "sohn" corresponds to the user "Brainlasher"
  • Token "dori" corresponds to the user "Tdg8uU"
  • Token "zawa" corresponds to the user "Nerfgun3"
  • Token "revs" corresponds to the user "ResidentChiefNZ"
  • Token "hmv" corresponds to the user "ミカ"
  • Token "whoo" corresponds to the user "Libra "
  • Token "asar" corresponds to the user "millennium_gun"
  • Token "blob" corresponds to the user "crazykazoo "
  • Token "xiao" corresponds to the user "Deez Games"
  • Token "kilt" corresponds to the user "Eface"
  • Token "ulf" corresponds to the user "Havok"
  • Token "loeb" corresponds to the user "Cryonicus"
  • Token "bnha" corresponds to the user "NorTroll"
  • Token "gote" corresponds to the user "Vil"
  • Token "omd" corresponds to the user "wpatzz"
  • Token "adl" corresponds to the user "Eppinette-Chi"
  • Token "shld" corresponds to the user "xxab"
  • Token "waj" corresponds to the user "Phaff"
  • Token "sown" corresponds to the user "King Pendragon"
  • Token "rcn" corresponds to the user "Guizmus"
  • Token "httr" corresponds to the user "Jordan~~"
  • Token "dits" corresponds to the user "bitspirit3"
  • Token "hta" corresponds to the user "SirVeggie"
  • Token "lun" corresponds to the user "xThIsIsBoToXx"
  • Token "olis" corresponds to the user "CesarAI"

Download links

SafeTensors

CKPT

Dataset

🧨 Diffusers

This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion.

You can also export the model to ONNX, MPS and/or FLAX/JAX.

from diffusers import StableDiffusionPipeline
import torch

model_id = "Guizmus/PoW_Something"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "PoW Style sown"
image = pipe(prompt).images[0]

image.save("./PoWStyle.png")