Text-to-Image
Diffusers
Safetensors
flux
flux-diffusers
controlnet
diffusers-training
4-bit precision
bitsandbytes
Instructions to use tommycik/ControlNetCannyReducedNew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tommycik/ControlNetCannyReducedNew with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("tommycik/ControlNetCannyReducedNew") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 1f69517286958cf41d8d3e20d96a4bc43e53cab178e0568d53c1289846e55922
- Size of remote file:
- 1.01 GB
- SHA256:
- 38ce48f4f440f69746bbc3c8ac85f299442f155b4c494b0636c6f00b7524baa4
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