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:
- 20514dec1ae9d8fc152a90d115e239471e071872c2b3d7c8bf05f2bf8720aa74
- Size of remote file:
- 33.2 kB
- SHA256:
- 6c9e218d549fce8962313cbc5e500cf9535e2dc8b2a6efc5e49f0ed0103f29dc
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