metadata

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

PoW : UNDERWATER WORLDS

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 38 pictures. It was trained on Stable diffusion 1.5. I used EveryDream to do the training, 100 total repeat per picture over 50 epochs. The pictures were tagged using the token "PoW Style", and the username on discord followed by the userID. The dataset is provided below.

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

Trained tokens

PoW Style
sometimes8916
526christian2526
Akumetsu9719982
AndreTheApache9587
bitspirit31653
bWm_nubby6416
crazykazoo2431
Eppinette-Chi6220
espasmo9486
flowwolf4607
Guizmus7459
H20_Dancing8979
Horvallis7915
Jeremy6194
JRW19948464
Junglerally3955
Max Headroom6734
Meezy1963
millennium_gun6377
Munkyfoot7944
Nerfgun37508
NicoGJ2781
NoOfTheBeast8209
Omnia2931
owleye1290
Phaff1970
piscabo8649
Ras6722
ResidentChiefNZ6989
Rhapsody8685
Satyam_SSJ107387
tazi2574
Trash--Panda6213
valanya6869
vcm077281
Vil0404
wpatzz5836
xThIsIsBoToXx8765

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_UNDERWATER-WORLDS"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "PoW Style AndreTheApache9587"
image = pipe(prompt).images[0]

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