Guizmus
/

SDArt_elementalflowers

 ---
+language:
+- en
 license: creativeml-openrail-m
+thumbnail: "https://huggingface.co/Guizmus/SDArt_elementalflowers/resolve/main/showcase.png"
+tags:
+- stable-diffusion
+- text-to-image
+- image-to-image
 ---
+# PoW : Elemental Flowers
+![Showcase](https://huggingface.co/Guizmus/SDArt_elementalflowers/resolve/main/showcase.png)
+## Theme
+ˑ༄ؘ ۪۫۫ ▹▫◃ ۪۫۫ ༄ؘ ˑ
+Emerald leaves, crimson petals, and a fragrance so sweet – Nature's art, a canvas so neat. is it the fiery passion of a red rose, or the tranquil bliss of a bluebell that grows?
+Love is like a garden of these elemental treasures, each with its own charm, each with its own measures.
+ˑ༄ؘ ۪۫۫ ▹▫◃ ۪۫۫ ༄ؘ ˑ
+Create images of flowers representing the four elements: fire, water, earth, and air.
+Use colors and shapes that capture the essence of one or each element, and consider the symbolism and associations associated with them to create unique designs.
+Consider the symbolism and associations of each element as you create your images. What emotions or concepts do they evoke, and how can you incorporate that into your designs?
+What will your elemental flower bloom into? Where does it grow? What is it surrounded by? Even better-- what's your flower called? Name it! Today's example flowers were made by me ^^ enjoy!
+ˑ༄ؘ ۪۫۫ ▹▫◃ ۪۫۫ ༄ؘ ˑ
+## 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 49 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. The dataset is provided below, as well as a list of usernames and their corresponding token.
+A second version, titled "Classic version", has been trained by spliting all the 4-shot pictures into individual pictures, and using more usual tokens, like the 4 elements. This dataset is a little larger (61 pictures) and got trained for longer but on the same repeats/params.
+The recommended sampling is k_Euler_a or DPM++ 2M Karras on 20 steps, CFGS 7.5 .
+## Trained tokens
+### User tokens version
+* SDArt
+* dyce
+* ohwx
+* bnp
+* juli
+* aten
+* hep
+* fcu
+* hiko
+* ufos
+* nwsl
+* cous
+* aved
+* mth
+* gani
+* kprc
+* kuro
+* asot
+* jap
+* weho
+* hmv
+* psst
+* sqm
+* irgc
+* buka
+* buon
+* nmwx
+* byes
+* utm
+* dany
+* avel
+* vaw
+* zaki
+* guin
+* urd
+* nasi
+* vini
+* hta
+* crit
+* inem
+* mlas
+* isch
+* phol
+* vedi
+* dds
+* acu
+* httr
+* pte
+* oxi
+* ibc
+### Classic tokens version
+* elem flowers
+* air
+* water
+* fire
+* earth
+* multielem
+## Download links
+### User tokens version
+[SafeTensors](https://huggingface.co/Guizmus/SDArt_elementalflowers/resolve/main/SDArt_ElementalFlowers.safetensors)
+[CKPT](https://huggingface.co/Guizmus/SDArt_elementalflowers/resolve/main/SDArt_ElementalFlowers.ckpt)
+[Dataset](https://huggingface.co/Guizmus/SDArt_elementalflowers/resolve/main/dataset.zip)
+### Classic tokens version
+[SafeTensors](https://huggingface.co/Guizmus/SDArt_elementalflowers/resolve/main/ElemFlowers.safetensors)
+[CKPT](https://huggingface.co/Guizmus/SDArt_elementalflowers/resolve/main/ElemFlowers.ckpt)
+[Dataset](https://huggingface.co/Guizmus/SDArt_elementalflowers/resolve/main/dataset-2.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]().
+The model present in the diffusers is the user tokens version.
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+model_id = "Guizmus/SDArt_elementalflowers"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+prompt = "SDArt ibc"
+image = pipe(prompt).images[0]
+image.save("./SDArt.png")
+```