Instructions to use openmmlab/PIA-condition-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openmmlab/PIA-condition-adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openmmlab/PIA-condition-adapter", 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:
- 6938e38977c4c48b8a2c19a6006be014341c990fa7cceb1079a6a467935df713
- Size of remote file:
- 836 MB
- SHA256:
- f67637e6c30beb2ae7d87e4ef98c7003f8b7bc46c4e9c28b65374e2824dcb4ef
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