Instructions to use hf-internal-testing/tiny-modular-cache-reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-modular-cache-reference 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-modular-cache-reference", 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:
- bc307ae922e9c2d0773461a4e406d2ffc7e66223969274e60eed3e50ccb5d07e
- Size of remote file:
- 20.4 kB
- SHA256:
- e80191130ab0ad73d7fce9c674fa551ce9feb348a6530f8c7f09446727980a3b
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