README.md

---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- concept

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: contrast zipup
widget:
- text: 'synthetic material like polyester or nylon., green park setting, showcasing her happiness. She is wearing a casual, comfortable outfit: a zip-up hoodie with a maroon hood and sleeves, styled in a simple, revealing a light yellow zip-up top underneath.'
  
  output:
    url: >-
      68377641.jpeg
- text: 'with her hands resting behind her head, giving the impression of enjoying a pleasant moment. Her skin has a fair complexion, wavy blonde hair and is smiling brightly, and a white zipper. The hoodie bears embroidered numbers and text, casting dappled shadows on the ground. The woman has long, white embroidered illustrations of what appear to be cartoonish figures on the front.'
  
  output:
    url: >-
      68377645.jpeg
- text: 'curly waves, which appears to be small, contrast zipup. The image is a high-resolution photograph of a young woman sitting on a wooden bench in a park. She has long, which is pulled up, clear-framed glasses and a bright red zip-up hoodie with the text "LEO 40" in white, sunlit park. She has a fair complexion and a cheerful expression'
  
  output:
    url: >-
      68377643.jpeg
- text: ' '
  
  output:
    url: >-
      68380001.jpeg
- text: ' '
  
  output:
    url: >-
      68379998.jpeg
- text: ' '
  
  output:
    url: >-
      68380007.jpeg
- text: ' '
  
  output:
    url: >-
      68380003.jpeg
- text: ' '
  
  output:
    url: >-
      68380000.jpeg
- text: ' '
  
  output:
    url: >-
      68380010.jpeg
- text: ' '
  
  output:
    url: >-
      68379996.jpeg
- text: ' '
  
  output:
    url: >-
      68380004.jpeg
- text: ' '
  
  output:
    url: >-
      68380006.jpeg
- text: ' '
  
  output:
    url: >-
      68379997.jpeg
- text: ' '
  
  output:
    url: >-
      68380005.jpeg
- text: ' '
  
  output:
    url: >-
      68380002.jpeg
- text: ' '
  
  output:
    url: >-
      68380011.jpeg
- text: ' '
  
  output:
    url: >-
      68379999.jpeg
- text: ' '
  
  output:
    url: >-
      68380008.jpeg
- text: ' '
  
  output:
    url: >-
      68380012.jpeg
- text: ' '
  
  output:
    url: >-
      68380009.jpeg

---

# contrast 

<Gallery />





## Model description

<p>young woman  in colorful hoodie</p>

## Trigger words
You should use `contrast zipup`, `color hoodie`, `zipup color hoodie` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/LuckyStyle/contrast/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

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('LuckyStyle/contrast', weight_name='contrast-000002.safetensors')
image = pipeline('`contrast zipup`, `color hoodie`, `zipup color hoodie`').images[0]
```

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)