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 ) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download images/1ref.png from thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora: direct link, hf CLI and curl.
- Browser
- Download file 894 kB
-
https://huggingface.co/thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora/resolve/main/images/1ref.png
- Command line
-
hf download hf://thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora/images/1ref.png
-
curl -L -o 1ref.png https://huggingface.co/thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora/resolve/main/images/1ref.png
894 kB

- Xet hash:
- 7dd05ccce89628dda100f5e0dcfce9fc9937dd0e4b8c4994efabc243d3d789e8
- Size of remote file:
- 894 kB
- SHA256:
- 0a52772b7335d44381fc32075f329b5990431877a537211c81c40afb3d89aed1
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