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:
- b2039130ab7457f0b4da8ef4063b557e26e3b88a7c3bc3d092470bf84093949e
- Size of remote file:
- 1.45 GB
- SHA256:
- acfafe4d73e85b06b6858afd3db4226f65acc60f7cb420fec723ca3372d1f01c
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