Instructions to use sariskiat/control2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sariskiat/control2 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/control2", 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:
- 09f198dc4cdcd3d9fced84290f72bc2e28d24ecba53ffa4579ce275b313085ef
- Size of remote file:
- 1.25 GB
- SHA256:
- 1bc75e5c051782eb151b7cce7f89db1c4f3e25d8c9b6a6356bba888bb0b14c72
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