Instructions to use ms2stationthis/aespaflux-klein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/aespaflux-klein 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.2-klein-base-4B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ms2stationthis/aespaflux-klein") prompt = "aespa, The image is a high-resolution photograph featuring a young woman with a striking, futuristic aespa aesthetic. S…" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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