metadata
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
- flowers
pipeline_tag: text-to-image
widget:
- output:
url: images/0.png
text: soulday flowers, woman, facing the camera, daylight, parade
- output:
url: images/1.jpeg
text: soulday flowers, woman, facing the camera, daylight, parade
- text: soulday flowers, woman, facing the camera, daylight, parade
output:
url: images/example_0sy5t7npu.png
- text: soulday flowers, woman, facing the camera, daylight, parade
output:
url: images/example_21jg1rcxw.png
- text: soulday flowers, man, facing the camera, daylight, parade
output:
url: images/example_20o8l1svd.png
trigger: soulday flowers
instance_prompt: soulday flowers
license: other
license_name: flux-1-dev-non-commercial-license
About
The "soulday flowers" is a LoRA created from the SoulDay inspired artwork. The style manifests itself in the output image via the trigger words in multiple objects:
- Faces The human characters themselves have a particular style.
- Flower Crowns and Flower Bouquets The humans have flower crowns and assorted flowers around them.
soulday_flowers_600.safetensors weight flowers are more "velvety" in appearance, but have more soulday style. - Accessories It can be seen in human accessories such as glasses, earrings, bracelets, pendants, etc.
- Clothing The style is apparent in the clothing.
SoulDay
SoulDay ($SDY) is a collectible ethereum token project from GaleriaRodrigo.com
Minted tokens
Minting tokens
Trigger words
You should use soulday flowers to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
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-lora-day-soulday-flowers', weight_name='soulday_flowers.safetensors')
image = pipeline('soulday flowers, 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