Instructions to use beyonddata/my-controlnet-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use beyonddata/my-controlnet-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("beyonddata/my-controlnet-model", 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
- Xet hash:
- 87c0cb79a7400d59a1337b3e8eb6458abf4a27c36ffd49cfe4ecbf0b2ffe5487
- Size of remote file:
- 2.76 MB
- SHA256:
- 9be95d577af4ab47fe281ae63001fca0b2e8c484864b4c05fbf41703b7bf0ac6
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