Text-to-Image
Diffusers
PyTorch
Safetensors
StableDiffusionControlNetPipeline
art
controlnet
stable-diffusion
Instructions to use kmcgrath/sd-controlnet-canny-fork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmcgrath/sd-controlnet-canny-fork with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("kmcgrath/sd-controlnet-canny-fork") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Test StableDiffusionControlNetModel pipeline model_index.json
79ceeb9
-
Add model_index.json, rename pytorch_model.bin
366f302
-
Update README.md
2803985
-
Update README.md
6806768 -
Update README.md
c5efc74 -
Update README.md
bed6a5b -
Update README.md
860c93e -
Upload sd.png
b56d554 -
update README (#1)
- update README (2579df16b27d26f15371480035b35eca8a04ba81) Co-authored-by: Will Berman <williamberman@users.noreply.huggingface.co>ee5d4ef
-
Update README.md
1881086 -
Upload 26 files
f6f262b
-
new embedding model format
dd399fa
-
only upload controlnet
3a017a2
-
init
a8f6488 -
initial commit
437acd2