Instructions to use hf-internal-testing/tiny-if-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-if-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-if-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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8544509884eb2a3acc0868b7d4a78c12c7a8adf205249fad68635caa5e5185ad
- Size of remote file:
- 62.5 kB
- SHA256:
- e71a8b2bc1c36b1ea29754db72576b1a2150b136f4e556340bb4958bd958755e
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