Instructions to use hf-internal-testing/tiny-sd35-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sd35-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-sd35-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
- Draw Things
- DiffusionBee
- Xet hash:
- 4733f47e50b578d831c4ae3a13e50de295d48ea90cef9bfe1e6829bb7b326e0a
- Size of remote file:
- 1.87 MB
- SHA256:
- f9ac2dc85c0926f3fe470aa8fa49cddbc961cbb7d6916a8b00da53b9b85e39fd
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