Instructions to use SweetLuna/Aurora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SweetLuna/Aurora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SweetLuna/Aurora", 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
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A New Horizon - Aurora Version 1.0.0
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A New Horizon 1.0.0 Update
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Must have Negative Embeddings trained on Aurora and KHFB
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Negative Embedding trained on AuroraONE.ckpt
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Negative Embedding trained on Kenshi + BasilMix
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Must have Negative Embeddings trained on Aurora and KHFB
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