Text-to-Image
Diffusers
Flux2KleinPipeline
flux
flux2
flux2-klein
torchao
nvfp4
blackwell
image-generation
quantized
Instructions to use joseplcam/FLUX.2-klein-9B-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joseplcam/FLUX.2-klein-9B-nvfp4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("joseplcam/FLUX.2-klein-9B-nvfp4", 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