Instructions to use ModelsLab/Flux2-Klein-9B-True-V3-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/Flux2-Klein-9B-True-V3-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ModelsLab/Flux2-Klein-9B-True-V3-fp8", 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
Download comparison.jpg from ModelsLab/Flux2-Klein-9B-True-V3-fp8: direct link, hf CLI and curl.
- Browser
- Download file 365 kB
-
https://huggingface.co/ModelsLab/Flux2-Klein-9B-True-V3-fp8/resolve/main/comparison.jpg
- Command line
-
hf download hf://ModelsLab/Flux2-Klein-9B-True-V3-fp8/comparison.jpg
-
curl -L -o comparison.jpg https://huggingface.co/ModelsLab/Flux2-Klein-9B-True-V3-fp8/resolve/main/comparison.jpg
365 kB

- Xet hash:
- fd6cc42bf4139ad0e016a7f6d9bec70da865c78e17a0a1e173935dcd8e1b2ee0
- Size of remote file:
- 365 kB
- SHA256:
- 37974dbb2e4983bf12a624a59d669d95a14f9b52d3f488b98aa4aac53e5440ca
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