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/4res.png from thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora/resolve/main/images/4res.png
- Command line
-
hf download hf://thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora/images/4res.png
-
curl -L -o 4res.png https://huggingface.co/thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora/resolve/main/images/4res.png
1.67 MB

- Xet hash:
- 5911966a7cdd6eee0fdd8cd01fb3ce4ad1c06d3ef97990c253908b382e6a4607
- Size of remote file:
- 1.67 MB
- SHA256:
- 84af26fba2a478e14541ad5c8b4c1391ccc1daeaa6f648d0c7446dd8a7773095
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