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 = "Orange Splatter Illustration samples" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- ae1a76d9c6404b25899684a4e9a9d802fbc3f3c4071226cccffa68eddcfafb64
- Size of remote file:
- 1.95 MB
- SHA256:
- efc1296e13e213095786637be4313b65253193e7dfb1b737c473972459f18362
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