Instructions to use mikkoph/mikkoani-klein9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mikkoph/mikkoani-klein9b 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-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mikkoph/mikkoani-klein9b") prompt = "@mikkoani illustration with muted colors and gritty complex linework. A shot depicting a woman with an ethereal, almost otherworldly appearance. The woman has pale, porcelain skin and striking blue eyes, which are the focal point of the composition. Her hair is short, platinum blonde, and tousled, adding to her mysterious aura. She wears a delicate, high-collared, lace-trimmed white dress that contrasts with the dark, gothic elements of her crown. Her attire is accessorized with a long, dangling earring that features a large, clear gemstone. The background is dark and indistinct, focusing attention on her face and upper body. The lighting is dramatic, with a soft glow highlighting her face and creating subtle shadows that add depth and intensity to the image. The camera angle is a close-up, capturing her from the waist up, emphasizing her haunting beauty and the intricate details of her attire and accessories." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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