Instructions to use prithivMLmods/Aura-9999 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Aura-9999 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/Aura-9999") prompt = "Aura 9999, a close-up of a womans face is visible. The womans eyes are a piercing yellow, while her lips are a darker shade of brown. Her hair is a mix of black and white, and she is wearing a headband that is adorned with orange lights. The background is a dark gray, and the womans head is encased in a layer of orange lights, creating a striking contrast to her face." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
Aura-9999.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:97287a6106bae833db6260af3788159c0b540597ddecb96244d5851e14ca7c32
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size 612747232
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images/de6a78b3-7432-4001-b65a-dfe7f43fd76e.webp
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Git LFS Details
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