denim / README.md

LuckyStyle

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metadata

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
  - style
  - denim jacket
  - zipper denim shirt
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: denim shirt
widget:
  - text: ' '
    output:
      url: 68542852.jpeg
  - text: ' '
    output:
      url: 68542855.jpeg
  - text: ' '
    output:
      url: 68542851.jpeg
  - text: ' '
    output:
      url: 68542854.jpeg
  - text: ' '
    output:
      url: 68542853.jpeg
  - text: ' '
    output:
      url: 68542846.jpeg
  - text: ' '
    output:
      url: 68542848.jpeg
  - text: ' '
    output:
      url: 68542845.jpeg
  - text: ' '
    output:
      url: 68542842.jpeg
  - text: ' '
    output:
      url: 68542849.jpeg
  - text: ' '
    output:
      url: 68542839.jpeg
  - text: ' '
    output:
      url: 68542989.jpeg
  - text: ' '
    output:
      url: 68542986.jpeg
  - text: ' '
    output:
      url: 68542993.jpeg
  - text: ' '
    output:
      url: 68542991.jpeg
  - text: ' '
    output:
      url: 68542990.jpeg
  - text: ' '
    output:
      url: 68542992.jpeg
  - text: ' '
    output:
      url: 68542984.jpeg
  - text: ' '
    output:
      url: 68542988.jpeg
  - text: ' '
    output:
      url: 68542987.jpeg

Denim

Model description

zipper denim outfit

Trigger words

You should use denim shirt 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

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/denim', weight_name='Denim-000001.safetensors')
image = pipeline('`denim shirt`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers