Instructions to use BlackHat404/DefacationAnima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlackHat404/DefacationAnima with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circlestone-labs/Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BlackHat404/DefacationAnima") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 4 files
Browse files- DefecationAnimaV1.safetensors +3 -0
- images/censor1.png +3 -0
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- images/censor3.png +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2590a1e357365e9b10ee113a424040f5b776ff7f6b218c178d1d3a5663ece894
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size 33265984
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images/censor1.png
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Git LFS Details
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images/censor2.png
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images/censor3.png
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Git LFS Details
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