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", torch_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:
- a6f9bec293fa82a48d8f090161e24304c083a3ba85ca42fa593fbe0d92531ace
- Size of remote file:
- 4.25 MB
- SHA256:
- fa59d2146ca8ec8558ca0390cca1a58c21f7c9712fcbc8444b4b8f5f8ac63070
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