Instructions to use 8BitStudio/Aniimage-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8BitStudio/Aniimage-1 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-1", 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
- Draw Things
- DiffusionBee
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README.md
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## What's Next
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**Aniimage-1.5** — a 512×512 fine-tune of this model is currently in development, which will significantly improve detail and clarity.
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## License
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## What's Next
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**Aniimage-1.5** — a 512×512 fine-tune of this model is currently in development, which will significantly improve detail and clarity.
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Code for training may be released at some point on github
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## License
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