Text-to-Image
Diffusers
Safetensors
GGUF
ZImagePipeline
image-to-image
inpainting
controlnet
z-image-turbo
Instructions to use elismasilva/z-image-control-turbo-unified-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use elismasilva/z-image-control-turbo-unified-v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("elismasilva/z-image-control-turbo-unified-v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee