Instructions to use InstantX/SD3-Controlnet-Tile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/SD3-Controlnet-Tile with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/SD3-Controlnet-Tile", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download demo_7.jpg from InstantX/SD3-Controlnet-Tile: direct link, hf CLI and curl.
- Browser
- Download file 224 kB
-
https://huggingface.co/InstantX/SD3-Controlnet-Tile/resolve/main/demo_7.jpg
- Command line
-
hf download hf://InstantX/SD3-Controlnet-Tile/demo_7.jpg
-
curl -L -o demo_7.jpg https://huggingface.co/InstantX/SD3-Controlnet-Tile/resolve/main/demo_7.jpg
224 kB
