Instructions to use shawnpan/test-ids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shawnpan/test-ids with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shawnpan/test-ids", 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:
- 989fe665c5dd8855faf1ca0db3dcfa4ef731286fcf1c1c4527f6b64e5424c88b
- Size of remote file:
- 3.44 GB
- SHA256:
- f746c45df957f420870c8e232715d7fccd6a49728690313bfa27d57233cf209a
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