Text-to-Image
Diffusers
Safetensors
flux
flux-diffusers
controlnet
diffusers-training
4-bit precision
bitsandbytes
Instructions to use tommycik/ControlNetCannyReducedImproved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tommycik/ControlNetCannyReducedImproved with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("tommycik/ControlNetCannyReducedImproved") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0a4f1324aedf94598cc39dba75708ee856363be1655c61757397afdadeae4772
- Size of remote file:
- 33.2 kB
- SHA256:
- 48cc7fef9f2cf5303cf360bbdc2e3d57304095da4eab740bb642afb791370ef3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.