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 projection_model/config.json from cvssp/audioldm2@c8e7e189
Browse files
encoders/cvssp/audioldm2/projection_model/config.json
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{
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"_class_name": "AudioLDM2ProjectionModel",
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"_diffusers_version": "0.20.0.dev0",
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"langauge_model_dim": 768,
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"text_encoder_1_dim": 1024,
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"text_encoder_dim": 512
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}
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