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---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/showcase.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
---
# PoW : CATSTRAVAGANZA !
![Showcase](https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/showcase.jpg)
## Theme
> Orb-like eyes, mischief, and surprise
> Cat paws tip-a-tap at your side
> With their fanged teeth and coy mystique
> They gaze up at you ever so sweet
> Won’t you give them a treat?
This POW’s all about our favorite feline friends wherein we are absolutely not biased. Be as creative as you can!
Whether it be a cat made of cotton candy, a grumpy cat made of storm clouds, or just your regular degular tabby cat. Bring them all here and may the best cat reign supreme!
“It’s raining cats and cats out here!”
* Join us for a cat-stravaganza of fun
* Cute and cuddly - show us your paw-sitively purrfect creations!
* Whisk-er away your doubts and unleash your cat-titude
* Wander into the canvas alongside your meow-gnificant feline friends!
## 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 main token just changed to "SDArt", usually staying the same week to week. I balance the learning on the low side, so that it doesn't just replicate creations.
The total dataset is made of 61 pictures. It was trained on [Stable diffusion 1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5). I used [EveryDream](https://github.com/victorchall/EveryDream2trainer) to do the training, 100 total repeat per picture. The pictures were tagged using the token "SDArt", and an arbitrary token I choose for each submission. The dataset is provided below, as well as a list of usernames and their corresponding token.
The recommended sampling is UniPC on 15 steps, CFGS 5 .
## Trained tokens
* SDArt
* **User** => **Token**
* Aiska#5641 => dyce
* Akumetsu971#9982 => ohwx
* alex1729#4669 => bnp
* andrekerygma#4898 => tobi
* balrogdx#7106 => keel
* BeardedWhale#3993 => conv
* beta_caojin#9338 => cov
* bitspirit3#1653 => aten
* Brett#2283 => stg
* bWm_nubby#6416 => fcu
* csunberry#0594 => nwsl
* Dexyel#9083 => cous
* Dreamck#2108 => gare
* Dries#2321 => mth
* dunkeroni#4269 => nrf
* DylanWalker#9705 => elio
* Eface#8250 => gani
* Eppinette-Chi#6220 => pfa
* espasmo#9486 => kprc
* Guizmus#9881 => kuro
* Havok#2933 => ndi
* Horvallis#7915 => asot
* Jeremy#6194 => sill
* joachim#4676 => coyi
* Junglerally#3955 => bsp
* katmoget#4491 => psst
* Kaz#5485 => sqm
* King Pendragon#3589 => irgc
* Kingpin#2557 => buka
* Lenny_dV#6843 => lili
* Lord Parfington#0012 => hns
* marjan2k#5277 => cq
* MooDFooD#6245 => bdg
* mr.katkot#5949 => scd
* Munkyfoot#7944 => byes
* NorTroll#1798 => dany
* Omnia#2931 => yler
* Onusai#6441 => aroa
* owleye#1290 => avel
* Phaff#1970 => vaw
* piscabo#8649 => zaki
* qushkitti#0978 => muna
* Redinhead#3342 => ewe
* ResidentChiefNZ#6989 => guin
* Sam#8080 => erra
* SirVeggie#0230 => urd
* Smol Sus#0909 => nasi
* sometimes#8916 => vini
* SpaceCypher#6900 => fbs
* tazi#2574 => crit
* Trash--Panda#6213 => doa
* ulla_diffusion#0451 => mlas
* UniversityEuphoric#3284 => ylor
* uwyne#1111 => isch
* vcm07#7281 => phol
* VereVolf#5658 => vedi
* Vil#0404 => dds
* Wipeout#0031 => acu
* wpatzz#5836 => pte
* xThIsIsBoToXx#8765 => oxi
* yamination#7634 => bsgo
## Download links
[SafeTensors](https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/SDArt_catstravaganza.safetensors)
[CKPT](https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/SDArt_catstravaganza.ckpt)
[Dataset](https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/dataset.zip)
## 🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
```python
from diffusers import StableDiffusionPipeline
import torch
model_id = "Guizmus/SDArt_Catstravaganza"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "SDArt dyce"
image = pipe(prompt).images[0]
image.save("./SDArt.png")
``` |