Instructions to use thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.2-klein-base-4B", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- f30922060c94947acf50bdf5a6860b62df8c67db1065432337dc7c34948ff302
- Size of remote file:
- 1.51 MB
- SHA256:
- 4dfffa73d6d107a4acd625169ca6172ed8bcd15d48fa91c3b5fcc5d96e85b7dc
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