Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use ntaurozzi/controlnet_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ntaurozzi/controlnet_output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ntaurozzi/controlnet_output") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9c077325d1b34eacdfc4a1ef53d9cfcf07f4b073d3c4ad14953a926d98ce3691
- Size of remote file:
- 1.45 GB
- SHA256:
- 279718ab5a402a6bcb5b1895109814648e14dd0f77f102680db34408266fc4fe
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