Instructions to use hf-internal-testing/tiny-StableAudioPipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-StableAudioPipeline 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-StableAudioPipeline", 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
| { | |
| "_class_name": "StableAudioProjectionModel", | |
| "_diffusers_version": "0.39.0.dev0", | |
| "conditioning_dim": 4, | |
| "max_value": 32, | |
| "min_value": 0, | |
| "text_encoder_dim": 32 | |
| } | |