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 diffusion_pytorch_model.safetensors from ModelsLab/Flux2-Klein-9B-True-V3-fp8: direct link, hf CLI and curl.
- Browser
- Download file 9.08 GB
-
https://huggingface.co/ModelsLab/Flux2-Klein-9B-True-V3-fp8/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://ModelsLab/Flux2-Klein-9B-True-V3-fp8/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/ModelsLab/Flux2-Klein-9B-True-V3-fp8/resolve/main/diffusion_pytorch_model.safetensors
9.08 GB
- Xet hash:
- 6fd3d85891be9e37ed3dbee070f2bab9111227be622f69920bb0454e66aa2b3b
- Size of remote file:
- 9.08 GB
- SHA256:
- 83ffcf1897e083222703049438eda30bfd25173ef051155fa3d14811197df457
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