Instructions to use jixin0101/ObjectClear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jixin0101/ObjectClear with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jixin0101/ObjectClear", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| base_model: | |
| - stabilityai/stable-diffusion-xl-base-1.0 | |
| tags: | |
| - stable-diffusion-xl | |
| - inpainting | |
| - object-removal | |
| # ObjectClear | |
| This repository contains the model described in [ObjectClear: Complete Object Removal via Object-Effect Attention](https://huggingface.co/papers/2505.22636). | |
| Code: https://github.com/zjx0101/ObjectClear |