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
Update README.md
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README.md
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@@ -41,6 +41,7 @@ image = gen.generate(prompt="a smiling anime girl with long blue hair", steps=50
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- Faces can sometimes look similar or 'melty' across different prompts
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- Complex multi-character scenes may have merging issues
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- Little to none NSFW content — trained on mostly SFW dataset only
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## What's Next
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- Faces can sometimes look similar or 'melty' across different prompts
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- Complex multi-character scenes may have merging issues
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- Little to none NSFW content — trained on mostly SFW dataset only
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- Does worse when generating men due to dataset bias
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## What's Next
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