Instructions to use ozerune/fuzichoco-anima-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ozerune/fuzichoco-anima-lora 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("ozerune/fuzichoco-anima-lora") prompt = "masterpiece, best quality, amazing quality, very aesthetic, absurdres, highres, extremely detailed, intricate details, year 2025, newest, safe, @fuzichoco, 1girl, fantasy shrine maiden, modern kimono, long ribbons, flowing long silver hair, heterochromia eyes, holding a paper lantern, simple background, soft blue and purple gradient background, negative space, floating light particles" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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