How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("hewei3/qwen-image-dodge_burn", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Introduction

Qwen-Image-Dodge_Burn is a fine-tuned model based on Qwen-Image-Layered, focusing on dodge and burn retouching for photography.

Requirements

  1. At least one A100 GPU is required for running the inference pipeline.
  2. Dependencies are listed in ./requirements.txt

Examples

Detailed inference pipeline can refer to https://github.com/jeremywei201-tech/qwen-image-dodge_burn/blob/main/README.md

Comparison of basic and retouched image:

Left: Basic     Right: Retouched

Left: Basic     Right: Retouched

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