Instructions to use hf-internal-testing/tiny-pixart-alpha-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-pixart-alpha-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-pixart-alpha-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:
- 444e8f4129f9e9f76c63f46e7ce061142b49765b098e393e9991e1316dff773a
- Size of remote file:
- 2.26 MB
- SHA256:
- 12f2ffc68b4e0ea98556bfaa78aba1dfcd00b43ee5bf735c97924145fef9ca9a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.