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:
- 50695d3135237b3b5956fe2f9b5c0b53d8f6fab8c0281d37d9b96733467ac5a8
- Size of remote file:
- 9.6 GB
- SHA256:
- 0bff1eff39c04e7d313e5581cf0d8394d25ac277168062b9e43133c399ba058c
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