Instructions to use codeShare/FLUX.2-klein-9b-SDNQ-2bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeShare/FLUX.2-klein-9b-SDNQ-2bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codeShare/FLUX.2-klein-9b-SDNQ-2bit", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2635991d9f17e59adb81077708dcbb001da5464282ad349d6567396b3965d713
- Size of remote file:
- 5.96 GB
- SHA256:
- 1773acdeab292c34081a64b68f74fc5697bef9b79b13bdc97b7603a9a775e3ac
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