Instructions to use NxisZd/auroraFLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NxisZd/auroraFLUX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CodeGoat24/FLUX.2-klein-base-9B-UnifiedReward-Flex-lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NxisZd/auroraFLUX") prompt = "lb\\aey" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
flux 2 klein

- Prompt
- lb\aey
Model description
osnguibbz\lbjewoaitby
Trigger words
You should use 1girl to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for NxisZd/auroraFLUX
Base model
black-forest-labs/FLUX.2-klein-base-9B