Instructions to use teticio/audio-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use teticio/audio-encoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("teticio/audio-encoder", torch_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:
- 8d895452334eac74d8bac20e60a8f416cdf81e53e45d98bc34eac3902a31ea9f
- Size of remote file:
- 170 MB
- SHA256:
- 4f43249bccb4656dec6cfdf8f73c969ee3ceff8100c35d77ccaa2dabb732c688
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