Instructions to use razor7x/controlnet-trained-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use razor7x/controlnet-trained-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("razor7x/controlnet-trained-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:
- b408c134402a97d6c7c41c40cc7ddc9ec7568dacab8551a83910e5566e247a45
- Size of remote file:
- 723 MB
- SHA256:
- 6c226d3493b6f81f59336b38bc80db1c755ef4b42136dd2b6912b9f99be5d797
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