Instructions to use armanzarei/only_t5_large_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use armanzarei/only_t5_large_controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("armanzarei/only_t5_large_controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("armanzarei/only_t5_large_controlnet")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"stabilityai/stable-diffusion-2-1-base", controlnet=controlnet
)controlnet-armanzarei/only_t5_large_controlnet
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: A red book and a yellow vase
prompt: A book on the left of a bird
prompt: A bathroom with green tile and a red shower curtain
prompt: A white car and a red sheep
prompt: two cats and one dog on the grass

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Model tree for armanzarei/only_t5_large_controlnet
Base model
stabilityai/stable-diffusion-2-1-base