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Guizmus/
SDArt_synesthesia

Name: SDArt_synesthesia
Availability: InStock

creativeml-openrail-m

autotrain_compatible

endpoints_compatible

StableDiffusionPipeline

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SDArt : Synesthesia (version based on 1.5)

Theme

Dear @Challengers ,

In a world where colors have flavor, and sounds have texture, The senses intertwine to create a sensory rapture. Welcome to “Synesthesia”- where the ordinary is extraordinary, And art takes on a meaning that’s truly visionary! :Rainbowpink:

Synesthesia /ˌsɪn.əsˈθiː.ʒə/: an anomalous blending of the senses in which the stimulation of one modality simultaneously produces sensation in a different modality. Synesthetes hear colors, feel sounds, and taste shapes.

Create an image that captures the essence of synesthesia sensory! Explore the intersections of sound, color, and texture. What’s it like tasting a melody, feeling a scent, or seeing colored words?
What would it look it look like to taste the sound of a thunderstorm? How would you visualize the sensation of feeling the warmth of the sun on your skin? Or how about tasting a particular color–such as a bright red apple or a cool blueberry?
Explore the possibilities of synesthesia and its many interpretations!

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 "SDArt" and I balance the learning on the low side, so that it doesn't just replicate creations.

The total dataset is made of 39 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 "SDArt", 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 .

The model is also available here in a version trained on 2.1 as a base.

Trained tokens

SDArt
dyce
bnp
keel
aten
fcu
lpg
mth
elio
gani
pfa
kprc
cpec
kuro
asot
psst
sqm
irgc
cq
utm
guin
crit
mlas
isch
vedi
dds
acu
oxi
kohl
maar
mako
mds
mert
mgt
miki
minh
mohd
mss
muc
mwf

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.

python

from diffusers import StableDiffusionPipeline
import torch

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

prompt = "SDArt minh"
image = pipe(prompt).images[0]

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