Instructions to use medmac01/miathon-controlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use medmac01/miathon-controlNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("medmac01/miathon-controlNet", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download safety_checker/pytorch_model.bin from medmac01/miathon-controlNet: direct link, hf CLI and curl.
- Browser
- Download file 608 MB
-
https://huggingface.co/medmac01/miathon-controlNet/resolve/main/safety_checker/pytorch_model.bin
- Command line
-
hf download hf://medmac01/miathon-controlNet/safety_checker/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/medmac01/miathon-controlNet/resolve/main/safety_checker/pytorch_model.bin
608 MB
- Xet hash:
- 50fc48f9eab5888b41e1fd76504bc5f3f696e47ecf91e2fec9583ca4aa4f1f76
- Size of remote file:
- 608 MB
- SHA256:
- 70b4ace4d3096de0a0c6d3574377bbaa17c6338daa9c728ea32f9cfd80a8907c
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