Instructions to use Ava2000/Optional_Typo_Anima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ava2000/Optional_Typo_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/Optional_Typo_Anima") prompt = "masterpiece, best quality," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -47,6 +47,8 @@ My negatives are a bit different with this one, because the artist name got bake
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Trigger: typ0,
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Advised strength: 0.6-1.0
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You can use the aDetailer plugin (NeoForge) with a face or eye model to get slightly better face and eye results.
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Trigger: typ0,
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Artist trigger: optionaltypo, (could help getting the style exactly right)
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Advised strength: 0.6-1.0
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You can use the aDetailer plugin (NeoForge) with a face or eye model to get slightly better face and eye results.
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