Instructions to use kmpartner/controlnet-circle-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/controlnet-circle-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kmpartner/controlnet-circle-test", 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
- Xet hash:
- ae16cd6eed33ad9a77eccde4e9bcd58c8c32aea5ae501e04dd1040db7535b471
- Size of remote file:
- 1.45 GB
- SHA256:
- 07dcaeb8a2317fb5de096a619cb801fb2c2a3da20ced6a3e0f9f8e7afa0e9811
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.