Instructions to use showlab/show-o with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use showlab/show-o with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("showlab/show-o", 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:
- 3c85c9341ed4b997011830e84adee68db8fd5163ea7c96dcf9613d1a48e339b3
- Size of remote file:
- 5.79 GB
- SHA256:
- 67ca6506dc5a0d47bed8f4aa957c9b23153df0d33540b188ac65115cad7eaea4
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