Instructions to use same899/metaquery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use same899/metaquery with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("same899/metaquery", 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:
- 2d41fc19620d57a41ce485aa5bb66df4de45cb177279baf3d90adc25e2f7b270
- Size of remote file:
- 953 MB
- SHA256:
- 2daf8551926980a2f377b27b5821d99d53a8d2f98f8bd1471f1ee2c382bae5f9
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