Instructions to use mespinosami/controlearth-sct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mespinosami/controlearth-sct with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mespinosami/controlearth-sct", 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:
- 3367bbd151d6e362a1414f8627529624dfc6c3039e25e3601e8172771bacd563
- Size of remote file:
- 1.45 GB
- SHA256:
- b8342ac81e8e5ef25292968b278cafb677b317e7303f1542f8049b331c65d60e
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