Image-to-Image
Diffusers
English
text-to-image
lora
template:diffusion-lora
clothing
mannequin
synthetic-data
qwenimagedit
nsfw-potential
Instructions to use drbaph/Qwen-Image-Edit-Mannequin-Clipper-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use drbaph/Qwen-Image-Edit-Mannequin-Clipper-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("drbaph/Qwen-Image-Edit-Mannequin-Clipper-LoRA") prompt = "remove mannequin clothing" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Gated model You can list files but not access them
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