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:
- 5e6b816b2f1f9950fa6abec2fa120b0983848268e47856ba95f81f84c7711c1e
- Size of remote file:
- 723 MB
- SHA256:
- 83737fafd5b150e9b0a761f4c8828b899487d00b30eca0c2fea7d73819ec6d28
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