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", 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
new version trained on 1000000 playlists and tracks
Browse files- config.json +1 -1
- diffusion_pytorch_model.bin +1 -1
config.json
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{
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"_class_name": "AudioEncoder",
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"_diffusers_version": "0.
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}
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{
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"_class_name": "AudioEncoder",
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"_diffusers_version": "0.16.1"
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}
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diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 170360818
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f43249bccb4656dec6cfdf8f73c969ee3ceff8100c35d77ccaa2dabb732c688
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size 170360818
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