Instructions to use hf-internal-testing/tiny-sd3-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sd3-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-sd3-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:
- e4f3a55289dee5ea7b45b2e9baa01a82ff4359cc0d09b5f57c181835c1c9a45d
- Size of remote file:
- 287 kB
- SHA256:
- 25fb3560be099ce965a5be53240a0221b5b73d0655c7b01da43a843a3366e094
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