Instructions to use prithivMLmods/QIE-2509-Object-Remover-Bbox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/QIE-2509-Object-Remover-Bbox 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-2509", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/QIE-2509-Object-Remover-Bbox") prompt = "Turn this cat into a dog" 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- Xet hash:
- af9c9a7b34753b405ca2fa8f24304c3a0adff0e626436d22ece24ca5aad7465a
- Size of remote file:
- 29.1 MB
- SHA256:
- f59a5a51b908001fd3403d126856d000bdad5e7e4970466d92d89f78efe5ef45
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