Instructions to use kashif/music-spectrogram-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kashif/music-spectrogram-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kashif/music-spectrogram-diffusion", 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
Upload 2 files
Browse files- melgan/model.onnx +3 -0
- model_index.json +4 -0
melgan/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f7bfb7c042cfed63b133aa26ec440f7b2d08192823fbc2363499696b3720603
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size 60487709
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model_index.json
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"spectrogram_diffusion",
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"T5FilmDecoder"
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],
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"notes_encoder": [
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"spectrogram_diffusion",
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"SpectrogramNotesEncoder"
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"spectrogram_diffusion",
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"T5FilmDecoder"
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],
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"melgan": [
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"diffusers",
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"OnnxRuntimeModel"
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],
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"notes_encoder": [
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"spectrogram_diffusion",
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"SpectrogramNotesEncoder"
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