Instructions to use 24aittl/control-0604 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 24aittl/control-0604 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/control-0604", 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:
- b5567595809de62e547efbdd61034aca10f132653a15f823026e601a497011c9
- Size of remote file:
- 5.39 GB
- SHA256:
- a01f19f3d6bf354eafa08779f564586172dc9515617d22673e86c8c9a6ba0da1
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