Instructions to use pseudotools/controlnet-diffusion-pytorch-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pseudotools/controlnet-diffusion-pytorch-model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("pseudotools/controlnet-diffusion-pytorch-model") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Delete checkpoints
Browse files- checkpoints/Juggernaut_X_RunDiffusion_Hyper.safetensors +0 -3
- checkpoints/aiAngelMix_v30.safetensors +0 -3
- checkpoints/albedobaseXL_v21.safetensors +0 -3
- checkpoints/realvisxlV50_v50LightningBakedvae.safetensors +0 -3
- checkpoints/sd_xl_base_1.0.safetensors +0 -3
- checkpoints/sd_xl_refiner_1.0.safetensors +0 -3
checkpoints/Juggernaut_X_RunDiffusion_Hyper.safetensors
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