Instructions to use 8BitStudio/Aniimage-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8BitStudio/Aniimage-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8BitStudio/Aniimage-2", 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
8-bitStudio commited on
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Move images into assets folder
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README.md
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| **Resolution** | 512
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| **Architecture** | Latent Diffusion (UNet + VAE + CLIP) |
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| **Parameters** | ~430M |
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| **Training Steps** | 70,000 |
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| **Resolution** | 512×512 |
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| **Architecture** | Latent Diffusion (UNet + VAE + CLIP) |
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| **Parameters** | ~430M |
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| **Training Steps** | 70,000 |
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assets/.gitkeep
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Softly lit forest at midday, peaceful atmosphere, no people.png → assets/Softly lit forest at midday, peaceful atmosphere, no people.png
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collage.png → assets/collage.png
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