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README.md

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 ---
+language:
+- en
 license: creativeml-openrail-m
+thumbnail: "https://huggingface.co/Guizmus/SDArt_Complete_Edition768/resolve/main/showcase.jpg"
+tags:
+- stable-diffusion
+- text-to-image
+- image-to-image
 ---
+# SDArt : Complete Edition (version based on 2.1)
+
+![Showcase](https://huggingface.co/Guizmus/SDArt_Complete_Edition768/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 2.1 768px](https://huggingface.co/stabilityai/stable-diffusion-2-1). 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_Edition) in a version trained on 1.5 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)
+* Elemental Flowers - individual model [1.5](https://huggingface.co/Guizmus/SDArt_elementalflowers)
+* Synesthesia - individual model [1.5](https://huggingface.co/Guizmus/SDArt_synesthesia) [2.1](https://huggingface.co/Guizmus/SDArt_synesthesia768)
+* Chaos & Order - individual model [1.5](https://huggingface.co/Guizmus/SDArt_ChaosAndOrder) [2.1](https://huggingface.co/Guizmus/SDArt_ChaosAndOrder768)
+* Futuristic Fashion - individual model [1.5](https://huggingface.co/Guizmus/SDArt_futuristicfashion)
+* Cosmic horrors - individual model [1.5](https://huggingface.co/Guizmus/SDArt_cosmichorrors) [2.1](https://huggingface.co/Guizmus/SDArt_cosmichorrors768)
+* Encapsulated - individual model [1.5](https://huggingface.co/Guizmus/SDArt_Encapsulated) [2.1](https://huggingface.co/Guizmus/SDArt_Encapsulated768)
+* Unmythical Creatures - individual model [1.5](https://huggingface.co/Guizmus/SDArt_UnmythicalCreatures) [2.1](https://huggingface.co/Guizmus/SDArt_UnmythicalCreatures768)
+* Catstravaganza - individual model [1.5](https://huggingface.co/Guizmus/SDArt_ChaosAndOrder) [2.1](https://huggingface.co/Guizmus/SDArt_ChaosAndOrder768)
+* Someone - individual model [1.5](https://huggingface.co/Guizmus/SDArt_someone)
+* Something - individual model [1.5](https://huggingface.co/Guizmus/SDArt_something)
+* Somewhere - individual model [1.5](https://huggingface.co/Guizmus/SDArt_somewhere)
+* Underwater Worlds - individual model [1.5](https://huggingface.co/Guizmus/SDArt_underwaterworlds)
+
+## Download links
+
+[SafeTensors](https://huggingface.co/Guizmus/SDArt_Complete_Edition768/resolve/main/SDArt_v2_768.safetensors)
+
+[Config (yaml)](https://huggingface.co/Guizmus/SDArt_Complete_Edition768/resolve/main/SDArt_v2_768.yaml)
+
+[Dataset](https://huggingface.co/Guizmus/SDArt_Complete_Edition768/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_Edition768"
+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")
+```