Instructions to use Danrisi/oldNokia_flux2_klein9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Danrisi/oldNokia_flux2_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("Danrisi/oldNokia_flux2_klein9b", dtype=torch.bfloat16, device_map="cuda") prompt = "Raw smartphone photography, candid aesthetic, significant image noise, heavy grain. close-up portrait 20 years old ukrainian girl, with bright pink, messy, bobcut hair covering her forehead, wearing green eyeliner and yellow eyeshadow, a black curved barbell lip ring below her bottom lip, and a black, white, and teal striped scarf over a dark blue top, slightly smiling with a soft expression, gazing directly towards the viewer, from top view angle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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