Instructions to use 24aittl/control06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 24aittl/control06 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("24aittl/control06", 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:
- b107597c0d617be2949453103ed95fb840db9f154012fac8cffbcc20d1b63e83
- Size of remote file:
- 5.39 GB
- SHA256:
- 46bbd8ce36ce75c27663b54080b05a324cca829a644fd2b8a4a0b50dfe394b74
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