Instructions to use FudanCVL/EffectErase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FudanCVL/EffectErase with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FudanCVL/EffectErase", torch_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
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<a href="https://huggingface.co/datasets/FudanCVL/EffectErase" target="_blank" rel="noreferrer"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Dataset-Hugging%20Face-yellow" alt="Dataset" /></a>
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This repository provides the checkpoint `EffectErase.ckpt` for **EffectErase**.
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<img src="assets/teaser.gif" alt="teaser" />
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<a href="https://huggingface.co/datasets/FudanCVL/EffectErase" target="_blank" rel="noreferrer"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Dataset-Hugging%20Face-yellow" alt="Dataset" /></a>
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This repository provides the checkpoint `EffectErase.ckpt` for **EffectErase**.
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<img src="assets/teaser.gif" alt="teaser" />
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