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/5d.png from thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora: direct link, hf CLI and curl.
- Browser
- Download file 115 kB
-
https://huggingface.co/thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora/resolve/main/images/5d.png
- Command line
-
hf download hf://thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora/images/5d.png
-
curl -L -o 5d.png https://huggingface.co/thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora/resolve/main/images/5d.png
115 kB

- Xet hash:
- f638a723ea02d5282a1769f26987b5cbc6068351f7a72cfd16883af6563c6e12
- Size of remote file:
- 115 kB
- SHA256:
- dc819a9fbfc75897d9c79c1dcb4c5142bf0cffdf846e32074423277699ec0d16
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