Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
lora
controlnet
control-lora
Instructions to use wtcherr/sd-unsplash_10k_canny-model-control-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wtcherr/sd-unsplash_10k_canny-model-control-lora with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("wtcherr/sd-unsplash_10k_canny-model-control-lora") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d2034f89f5499e9edf3acf314abb1796e7a31621e5308f548295a476a1cf6eda
- Size of remote file:
- 24.4 MB
- SHA256:
- b73d9b1607eda5bec9c5f1e7f6b775e77f9dcac86b7e742e1012337618fad24e
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