Instructions to use Ava2000/Fishine_Anima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ava2000/Fishine_Anima with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("oron1208/OOO_Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ava2000/Fishine_Anima") prompt = "masterpiece, best quality, jaggy lines, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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fishine_style_v4_anima_epoch_15.safetensors
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version https://git-lfs.github.com/spec/v1
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size 138663768
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images/00007-775648376.png
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Git LFS Details
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images/00010-2608743850.png
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Git LFS Details
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