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
- Draw Things
- DiffusionBee
- Xet hash:
- cac3eed16a309a238bb4a3f74a31f9af05aae5eec22f0be46c756b1c318907cb
- Size of remote file:
- 1.34 MB
- SHA256:
- 8ec3dbd81a46df7a8fec37608af7d0f1b11f2392e7cd7f07502338d610025891
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