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
- Xet hash:
- 6e98348e9114386cc0e4eb03ff2e04b52a4e683b73e8d5ea48f01e0ec1523a9c
- Size of remote file:
- 92.9 MB
- SHA256:
- e787f17df7d25f266384ae5bc50444da875671395401a003e57f4cf7e40e5bb1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.