Instructions to use lucataco/flux-dev-controlnet-qr-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucataco/flux-dev-controlnet-qr-code with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lucataco/flux-dev-controlnet-qr-code") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1500/optimizer.bin from lucataco/flux-dev-controlnet-qr-code: direct link, hf CLI and curl.
- Browser
- Download file 10.9 GB
-
https://huggingface.co/lucataco/flux-dev-controlnet-qr-code/resolve/main/checkpoint-1500/optimizer.bin
- Command line
-
hf download hf://lucataco/flux-dev-controlnet-qr-code/checkpoint-1500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lucataco/flux-dev-controlnet-qr-code/resolve/main/checkpoint-1500/optimizer.bin
10.9 GB
- Xet hash:
- 328ed556f1f69ec5d07a5207db36469665dc01fa5648d1f99e9b4926d5485378
- Size of remote file:
- 10.9 GB
- SHA256:
- 19750fb34dfc22d7a5ac7a0d099b99e23ce58376549f6919c07ef209111a70f4
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