Instructions to use sariskiat/control1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sariskiat/control1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sariskiat/control1", 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:
- 03f85c7335e5ada7a240ca4b495e86989c692cf0c41e1ada6f552dbf6d1d6278
- Size of remote file:
- 2.5 GB
- SHA256:
- 826f8773e5e35b9ead28b8d64a4ef4b3e1f51bc6c60e9d2dd4c330dd23a7bc91
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