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
Download checkpoint-1000/optimizer.bin from kmpartner/controlnet-circle-test: direct link, hf CLI and curl.
- Browser
- Download file 725 MB
-
https://huggingface.co/kmpartner/controlnet-circle-test/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://kmpartner/controlnet-circle-test/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/kmpartner/controlnet-circle-test/resolve/main/checkpoint-1000/optimizer.bin
725 MB
- Xet hash:
- 94266010f2abc1c1e21e9d34bfbfb7f344dfcd5b2c99734188da25419cdeede1
- Size of remote file:
- 725 MB
- SHA256:
- 5b195fb6475ec8bed17db5d8f0e198d4d49ee1a523d73b116035057f9ca79220
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