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.
Features
- Dataset: Fine-tuned on H&M Fashion Caption Dataset (12k)
- Architecture: Compatible with FLUX (e.g., Shuttle 3.1)
- Model Type: LoRA for text-to-image tasks.
- Base Model: black-forest-labs/FLUX.1-schnell.
- License: Apache-2.0.
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.