Instructions to use prithivMLmods/QIE-2511-Object-Remover-Bbox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/QIE-2511-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-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/QIE-2511-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 Settings
- Draw Things
- Xet hash:
- 008630c478a18267c7a6852900e91d57b8bec73246f561c733c12197a2cb19d1
- Size of remote file:
- 19.4 MB
- SHA256:
- d92bfeb762ec9fdfe647eba4956f32de9252e48dc9df2798a2cf18b6a6eba3f5
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