Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use NicolasCC/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NicolasCC/outputs with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("NicolasCC/outputs") pipe = StableDiffusionControlNetPipeline.from_pretrained( "sudo-ai/zero123plus-v1.1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("NicolasCC/outputs")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"sudo-ai/zero123plus-v1.1", controlnet=controlnet
)- Downloads last month
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Model tree for NicolasCC/outputs
Base model
sudo-ai/zero123plus-v1.1