Instructions to use hf-internal-testing/tiny-kolors-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-kolors-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-kolors-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
- Xet hash:
- ef69c5df7e6ef082c3be02a61ca652fcd56fa87a6b375c876b5b44782ba9baf5
- Size of remote file:
- 4.17 MB
- SHA256:
- 3d8bf2a2ec2a88438d443e847f5df576f4fd2a73f0f242eac48a5043b187191c
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