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:
- d51991fba7edb82f611a111e50957ab557912b4e0fd16d658cf7ee078d5fab35
- Size of remote file:
- 1.53 MB
- SHA256:
- 8cdd438186feb8640b88f2ac80499679db93eb7fbcdf390bfe1c1faeb16cdc0c
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