Instructions to use DeverStyle/Flux.2-Klein-Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DeverStyle/Flux.2-Klein-Loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DeverStyle/Flux.2-Klein-Loras") prompt = "Teal Dark (TLDR) samples" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 49d2e530e4378b05240355e1dc6037388863aae728d79c011c54c14df94e064b
- Size of remote file:
- 4.25 MB
- SHA256:
- 24afbd06cb67929428f595b1d865e3714b55686e8e65c1dc68ae8cb247d7feb7
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