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", 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
Upload EffectErase.ckpt with huggingface_hub
Browse files- EffectErase.ckpt +3 -0
EffectErase.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e9ace4607a348a0d820328f827f7f4f751a0e44d4cf60665c03e9740dfa024d
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size 1438679011
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