Instructions to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints", 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
Mirror vocoder/pytorch_model.bin from cvssp/audioldm2@c8e7e189
Browse files
encoders/cvssp/audioldm2/vocoder/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9fbefc2b31c85d1dabe98e53d09ac88039af411162a7e641040a9c2b5f62364
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size 221120349
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