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---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Guizmus/SDArt_Complete_Edition/resolve/main/showcase.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
---
# SDArt : Complete Edition (version based on 1.5)

![Showcase](https://huggingface.co/Guizmus/SDArt_Complete_Edition/resolve/main/showcase.jpg)

## Model description 

This is a model related to the community events on [Stable Diffusion discord](https://discord.gg/stablediffusion).

Each week multiple contests happen and challengers submit great art that I train on as [individual models](https://huggingface.co/models?search=sdart&pipeline_tag=text-to-image). 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](https://huggingface.co/runwayml/stable-diffusion-v1-5) with the updated VAE. I used [EveryDream](https://github.com/victorchall/EveryDream2trainer) 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](https://huggingface.co/Guizmus/SDArt_Complete_Edition768) in a version trained on 2.1 as a base.

## Trained themes

* Alice In Diffusion Land - individual model [1.5](https://huggingface.co/Guizmus/SDArt_AliceInDiffusionLand) [2.1](https://huggingface.co/Guizmus/SDArt_AliceInDiffusionLand768) => [Example results of the complete model](<https://civitai.com/posts/167868>)
* Elemental Flowers - individual model [1.5](https://huggingface.co/Guizmus/SDArt_elementalflowers) => [Example results of the complete model](<https://civitai.com/posts/167912>)
* Synesthesia - individual model [1.5](https://huggingface.co/Guizmus/SDArt_synesthesia) [2.1](https://huggingface.co/Guizmus/SDArt_synesthesia768) => [Example results of the complete model](<https://civitai.com/posts/167990>)
* Chaos & Order - individual model [1.5](https://huggingface.co/Guizmus/SDArt_ChaosAndOrder) [2.1](https://huggingface.co/Guizmus/SDArt_ChaosAndOrder768) => [Example results of the complete model](<https://civitai.com/posts/167881>)
* Futuristic Fashion - individual model [1.5](https://huggingface.co/Guizmus/SDArt_futuristicfashion) => [Example results of the complete model](<https://civitai.com/posts/167932>)
* Cosmic horrors - individual model [1.5](https://huggingface.co/Guizmus/SDArt_cosmichorrors) [2.1](https://huggingface.co/Guizmus/SDArt_cosmichorrors768) => [Example results of the complete model](<https://civitai.com/posts/167904>)
* Encapsulated - individual model [1.5](https://huggingface.co/Guizmus/SDArt_Encapsulated) [2.1](https://huggingface.co/Guizmus/SDArt_Encapsulated768) => [Example results of the complete model](<https://civitai.com/posts/167923>)
* Unmythical Creatures - individual model [1.5](https://huggingface.co/Guizmus/SDArt_UnmythicalCreatures) [2.1](https://huggingface.co/Guizmus/SDArt_UnmythicalCreatures768) => [Example results of the complete model](<https://civitai.com/posts/168003>)
* Catstravaganza - individual model [1.5](https://huggingface.co/Guizmus/SDArt_Catstravaganza) => [Example results of the complete model](<https://civitai.com/posts/167879>)
* Someone - individual model [1.5](https://huggingface.co/Guizmus/SDArt_someone) => [Example results of the complete model](<https://civitai.com/posts/167955>)
* Something - individual model [1.5](https://huggingface.co/Guizmus/SDArt_something) => [Example results of the complete model](<https://civitai.com/posts/167974>)
* Somewhere - individual model [1.5](https://huggingface.co/Guizmus/SDArt_somewhere) => [Example results of the complete model](<https://civitai.com/posts/167984>)
* Underwater Worlds - individual model [1.5](https://huggingface.co/Guizmus/SDArt_underwaterworlds) => [Example results of the complete model](<https://civitai.com/posts/167997>)
* Abstract Realities - individual model [1.5](https://huggingface.co/Guizmus/SD_PoW_Collection#pow-style-09-11-22) => [Example results of the complete model](<https://civitai.com/posts/167862>)
* Imaginary Friend - individual model [1.5](https://huggingface.co/Guizmus/SD_PoW_Collection#pow-artstyle-22-11-22) => [Example results of the complete model](<https://civitai.com/posts/167944>)
* The Never Ending Loop - individual model [1.5](https://huggingface.co/Guizmus/SD_PoW_Collection#pow-style-14-11-22) => [Example results of the complete model](<https://civitai.com/posts/167949>)
* as well as around 60 favorite from the community => [Example results of the complete model](<https://civitai.com/posts/167884>)

## Download links

[SafeTensors](https://huggingface.co/Guizmus/SDArt_Complete_Edition/resolve/main/SDArt_v2.safetensors)

[Dataset](https://huggingface.co/Guizmus/SDArt_Complete_Edition/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_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")
```