Instructions to use showlab/show-1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use showlab/show-1-base 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-1-base", 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:
- bcbb3c0d141916645a3dd0f51e2f909672739362415b2687586cc2a12f37b557
- Size of remote file:
- 3.45 GB
- SHA256:
- 73e8b75789dd964d3a51e96a9753359e77cbbc190b1cb83bcf5775ea6374232b
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