flux-fashion-lora / README.md
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metadata
tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
widget:
  - text: >-
      Neutral Gray Background, Wide-angle, high quality, detailed,
      ultrarealistic photography, A beige linen shirt with short sleeves, a
      round neckline, and a subtle texture. The shirt has minimal stitching
      visible at the seams.
    output:
      url: images/4193686277_0.jpg
  - text: >-
      Neutral Gray Background, Wide-angle, high quality, detailed,
      ultrarealistic photography, A yellow cotton blouse featuring short puff
      sleeves, gathered shoulders, and button-down front closure. It has two
      small pockets on either side.
    output:
      url: images/1344616527_0.jpg
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: null
license: apache-2.0

flux-fashion

The flux-fashion LoRA model generates high-quality, realistic clothing images from text descriptions. It was trained on the H&M Fashion Caption Dataset (12k) using the AI Toolkit. The LoRA is compatible with FLUX architectures, including Shuttle 3.1.

Prompt
Neutral Gray Background, Wide-angle, high quality, detailed, ultrarealistic photography, A beige linen shirt with short sleeves, a round neckline, and a subtle texture. The shirt has minimal stitching visible at the seams.
Prompt
Neutral Gray Background, Wide-angle, high quality, detailed, ultrarealistic photography, A yellow cotton blouse featuring short puff sleeves, gathered shoulders, and button-down front closure. It has two small pockets on either side.

Features

Usage

Use this Model directly using Diffusers

from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell")
pipe.load_lora_weights("aihpi/flux-fashion-lora")

prompt = "Neutral Gray Background, Wide-angle, high quality, detailed, ultrarealistic photography, A beige linen shirt with short sleeves, a round neckline, and a subtle texture. The shirt has minimal stitching visible at the seams."
image = pipe(prompt).images[0]

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.