Instructions to use hf-internal-testing/tiny-sd-pipe-unet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sd-pipe-unet 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-sd-pipe-unet", 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:
- cf2d7c664a64d98f8c06361a7ea3f3f0aea75cabae9d736c573eee963412505e
- Size of remote file:
- 5.74 MB
- SHA256:
- d122d9ced096e51609cd202cb97ff6f2614e0be5394f3b38f84c8c58df04e07c
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