Instructions to use TsienDragon/qwen-image-edit-plus-lora-face-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TsienDragon/qwen-image-edit-plus-lora-face-seg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nunchaku-tech/nunchaku-qwen-image-edit-2509", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TsienDragon/qwen-image-edit-plus-lora-face-seg") prompt = "original" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/xyxy.png
text: original
- output:
url: images/yyy.png
text: change the image from the face to the face segmentation mask
- output:
url: images/xyxy.png
text: '-'
base_model: nunchaku-tech/nunchaku-qwen-image-edit-2509
instance_prompt: null
license: apache-2.0
datasets:
- TsienDragon/face_segmentation_20
language:
- en
qwen-image-edit-plus-lora-face-seg

- Prompt
- original

- Prompt
- change the image from the face to the face segmentation mask

- Prompt
- -
Lora finetune tools:
See details here: https://github.com/tsiendragon/qwen-image-finetune See docs about the qwen-image-edit-plus structure differences between qwen-image-edit
Download model
Download them in the Files & versions tab.