Instructions to use hf-internal-testing/tiny-dit-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-dit-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-dit-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:
- c0434d5f0871c16e3b46402fcbdfb686c8c856bdeba55a4e3aceabc60916fae2
- Size of remote file:
- 2.26 MB
- SHA256:
- 18ab6754c1fc8339e3aaa95b8e1a2c08f6bb4b01ffad7d0bbeab5a92eb84f6f0
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