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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 79a879d4eff9cf100711f0eb5ffc1be3a133dad699311d1024ca12ec35d7ff6d
- Size of remote file:
- 2.65 MB
- SHA256:
- 7409d06395530aa0720cb97029e29509b05e56d88aecb4b12c5dc66b8270d28b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.