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:
- 4d3f51e28ad04c018aa0e15ac13fb9516b89722afb39e9b0c2dcbb6d467fb1d4
- Size of remote file:
- 167 MB
- SHA256:
- f6e817ec7c5c6641c0000a1a7fc7893f6625251131f33f7bb034c55e5d949455
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