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Guizmus/SDArt_Complete_Edition
SDArt_Complete_Edition is a text-to-image model from Guizmus. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
Downloads · 30 days
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1% of all-time downloads
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From the Hugging Face model README

This is a model related to the community events on Stable Diffusion discord.
Each week multiple contests happen and challengers submit great art that I train on as individual models. The present model is a compilation of all those datasets, as well as some collected through a community project.
The total dataset is made of 742 pictures. It was trained on Stable diffusion 1.5 with the updated VAE. I used EveryDream to do the training, 100 total repeat per picture. The pictures were tagged using long prompts, and no specific trigger word is needed. The name of the contests themselves have been added to the caption and can act as styles (Synesthesia, Futuristic clothes, ...)
This model is also available here in a version trained on 2.1 as a base.
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/SDArt_Complete_Edition"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "a working cat, wearing a suit, using a computer, technological background, tea cup, painting, Catstravaganza"
image = pipe(prompt).images[0]
image.save("./SDArt.png")