Instructions to use sam749/FLUX2klein-9B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sam749/FLUX2klein-9B-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sam749/FLUX2klein-9B-4bit", 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:
- 062f0773df93478f3439eaedfee97a6ff1b6e2e9b443cfe473583fe076903746
- Size of remote file:
- 122 MB
- SHA256:
- 2ca88fff686c80ac1a2c451e439f56daba64d597799593e011a056102fe98b6a
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