Instructions to use BlackHat404/DefecationAnimaV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlackHat404/DefecationAnimaV2 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/DefecationAnimaV2") prompt = "masterpiece, best quality, score_9, highres, <lora:Turbo-ANIMA:1> looking at viewer, blush, smile, open mouth, short hair, simple background, large breasts, animal ears, cleavage, bare shoulders, standing, nipples, tail, full body, yellow eyes, white hair, detached sleeves, elbow gloves, dark skin, tongue out, dark-skinned female, orange eyes, hand on own hip, yellow background, areola slip, fur collar, arm warmers, nipple slip, white fur, horizontal pupils, light areolae, neck fur, bottomless, tank_top, squatting, anus, pussy, voiding, <lora:DefecationAnimaV7-000007:0.99> laying cable" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Not-For-All-Audiences
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