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
- Draw Things
- DiffusionBee
Differences among four models and workflow request
#2
by makisekurisu-jp - opened
Could you explain how to select between these four models and what distinguishes them? Would it be possible for you to share a ComfyUI workflow example?
They are all attempts at creating qr code controlnet fine-tune, each one was trained at different steps (500/1k/1.5k steps). Sadly none of them worked well enough to use
lucataco changed discussion status to closed