metadata

license: cc-by-4.0
language:
  - en
base_model:
  - shuttleai/shuttle-3.1-aesthetic
pipeline_tag: image-to-image

Fashion Edit Model

This repository contains a specialized fashion image editing model built on top of Shuttle-3.1-Aesthetic. The model has been trained to excel at fashion-specific modifications, including style transfer, seasonal adaptations, and fabric/texture transformations.

Model Features

Built on Shuttle-3.1-Aesthetic architecture
Enhanced transformer with increased input channels (128 instead of 64)
Specialized for fashion-specific editing tasks

Using the Model

This model works with our custom FluxPix2PixPipeline for optimal results:

import torch
from diffusers import DiffusionPipeline
import PIL.Image

# Load the model with custom pipeline
pipe = DiffusionPipeline.from_pretrained(
    "aihpi/fashion-edit-model",
    custom_pipeline="aihpi/fashion-edit-model",
    torch_dtype=torch.bfloat16
)

# Move to GPU if available
device = "cuda" if torch.cuda.is_available() else "cpu"
pipe = pipe.to(device)

# Load an image
input_image = PIL.Image.open("fashion_image.jpg").convert("RGB")
input_image = input_image.resize((768, 768))

# Generate transformed image
prompt = "Convert this outfit to winter style with wool textures"

result = pipe(
    prompt=prompt,
    image=input_image,
    num_inference_steps=6,
    guidance_scale=7.5
).images[0]

result.save("winter_outfit.png")

Model Card

Developer: AIHPI

Base Model: shuttleai/shuttle-3.1-aesthetic