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
Negative Embedding trained on Kenshi + BasilMix
Browse files- AuroraEmbeddings/KHFB.pt +3 -0
AuroraEmbeddings/KHFB.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:adac8597dae84333357950e65dd0fd1558c623a456e9c2f294b8408208a6d1c6
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size 50018
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