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
Commit History
-
Update README.md
Verified signature48005f2
-
Update README.md
Verified signature83c0e8c
-
Update README.md
Verified signaturef79175d -
Upload diffusion_pytorch_model.safetensors
Verified signature557c930 -
Update README.md
Verified signature84751b7 -
Update README.md
Verified signature1c87ad4 -
Update README.md
Verified signaturef73fb9f -
Update README.md
Verified signature4a96267 -
Upload 7 files
Verified signature9e3f20e -
Update README.md
Verified signature3f8b4ba
-
Create README.md
Verified signature4422a88 -
initial commit
Verified signaturefcf9b36