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:
- 79333f2777b8bb7a33a30b333a4a4ec8213cd9abad1ba66c2299f4e9811134f6
- Size of remote file:
- 5.88 GB
- SHA256:
- 5f5344948dddc476130d6c2adce64ac585e240b625a78e2b669e4993a938095d
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