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
- Draw Things
- DiffusionBee
- Xet hash:
- 787c4cbfff14e59120533c64b4410632984c16f6bda634a5e9d388aa014c9f1c
- Size of remote file:
- 1.72 GB
- SHA256:
- 5d57e4b2a3d90fdbbb61c330723a30cd1e9fea3155c2068a111fe44befc213d3
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