Instructions to use hf-internal-testing/tiny-lumina2-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-lumina2-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-lumina2-pipe", 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:
- 0eaaacac15668c43fce4a8632fde98375b76196743c777d1c98052826e652d31
- Size of remote file:
- 4.24 MB
- SHA256:
- 6969e64047744a44bb3abfb5c50f8de0f7ed8b571d5444426ef931f651d1a0ef
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