README.md

---
base_model:
- black-forest-labs/FLUX.1-dev
library_name: diffusers
tags:
- template:diffusion-lora
- flux.1-dev
- diffusers
- Text-to-Image
- flux
- lora
- soulday
- skull
- day of the dead
- flowers

pipeline_tag: text-to-image
widget:
- output:
    url: images/0.png
  text: >-
    soulday flowers, day of the dead, woman, facing the camera, daylight, parade
- output:
    url: images/1.jpeg
  text: >-
    soulday flowers, day of the dead, woman, facing the camera, daylight, parade
- output:
    url: images/2.jpeg
  text: >-
    soulday flowers, day of the dead, woman, facing the camera, daylight, parade
trigger: soulday flowers, day of the dead
instance_prompt: soulday flowers, day of the dead
license: other
license_name: flux-1-dev-non-commercial-license
---
## About
The "soulday flowers, day of the dead" is a LoRA created from the SoulDay inspired artwork. 
The style manifests itself in the output image via the trigger words in multiple objects:
1. **Faces** The human characters themselves have a particular style.
2. **Flower Crowns and Flower Bouquets** The humans have flower crowns and assorted flowers around them.
3. **Accessories** It can be seen in human accessories such as glasses, earrings, bracelets, pendants, etc.
4. **Clothing** The style is apparent in the clothing.

## SoulDay
SoulDay ($SDY) is a collectible ethereum token project from [GaleriaRodrigo.com](https://galeriarodrigo.com)
</br>
[Minted tokens](https://magiceden.us/collections/ethereum/0x5c6954f5df48035a6e339ef26f4167cb7e56d021)
</br>
[Minting tokens](https://soulday.io)


## Trigger words

You should use `soulday flowers, day of the dead` to trigger the image generation.

## Download model

Weights for this model are available in Safetensors format.

[Download](/galeriarodrigo/FLUX.1-dev-lora-soulday/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('galeriarodrigo/FLUX.1-dev-lora-soulday', weight_name='souldaystyle.safetensors')
image = pipeline('soulday flowers, day of the dead, woman, facing the camera, daylight, parade').images[0]
image.save("my_image.png")
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)