Instructions to use Baragi-AI/LPC-FourDirection-Walk-Flux-Klein-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Baragi-AI/LPC-FourDirection-Walk-Flux-Klein-9B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-base-9B", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Baragi-AI/LPC-FourDirection-Walk-Flux-Klein-9B") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- 42e365ab0c4ce0c89c019ab89b9fb92e2bc07ea3dc87e85496406fedd4147698
- Size of remote file:
- 1.06 MB
- SHA256:
- 3a417252a9401de883a30a7050340ec61e0465e4b1ed6111fd5d1b7db9dcd1fe
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