Instructions to use AlexWortega/AnimeDiffusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexWortega/AnimeDiffusion2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlexWortega/AnimeDiffusion2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Typo in code example
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (b7dc94f6c6417b91b8122aa1a1c9f947e1518fd0) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>729c6f3
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Update README.md
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Update README.md
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first attempt for -2 emb
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initial commit
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