metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
Blue corduroy overalls psd mockup, in the style of gothic dark and moody
tones, natural materials, tinycore, use of fabric, dark white and black,
unpolished authenticity, multi-layered --ar 68:101 --v 5
output:
url: images/111.png
- text: >-
Front view, capture a urban style, Hoodie, technical materials, fabric
small point label on text red theory, the design is minimal, with a raised
collar, fabric is a light red, low angle to capture the Hoodies form and
detailing, f/5.6 to focus on the hoodies craftsmanship, solid grey
background, studio light setting
output:
url: images/222.png
- text: >-
Striped shirts, red shoes, and jeans, in the style of eco-friendly
craftsmanship, white and crimson, japanese, solapunk, letterboxing, living
materials, classical style --ar 70:99 --v 5
output:
url: images/333.png
- text: >-
A blue jumper, dark jeans and pink sweater hang behind a coat rack, in the
style of american consumer culture, light amber and brown, scoutcore,
delicate washes, eye-catching tags --ar 72:103 --v 5.1
output:
url: images/444.png
- text: >-
Colorful striped retro shirt hanging on hanger, background white wall,
side light, high quality photo --ar 2:3 --v 5
output:
url: images/555.png
- text: >-
A stack of blue jeans on top of a wooden chair, in the style of minimalist
photography, firecore, light and airy, cluttered, emerson silva,
environmental awareness, minimalist staging --ar 2:3 --v 5
output:
url: images/666.png
base_model: black-forest-labs/FLUX.1-dev
captioning_model: microsoft/Florence-2-large
instance_prompt: Hoodie, Clothes, Clothing, Shirt, Pant
license: creativeml-openrail-m
Canopus-Clothing-Flux-Dev-LoRA
Trigger words
You should use Hoodie
to trigger the image generation.
You should use Clothes
to trigger the image generation.
You should use Clothing
to trigger the image generation.
You should use Shirt
to trigger the image generation.
You should use Pant
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.