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
Update decoder/config.json
Browse files- decoder/config.json +0 -1
decoder/config.json
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"d_kv": 64,
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"d_model": 768,
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"dropout_rate": 0.1,
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"feed_forward_proj": "gated-gelu",
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"input_dims": 128,
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"max_decoder_noise_time": 20000.0,
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"num_heads": 12,
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"d_kv": 64,
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"d_model": 768,
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"dropout_rate": 0.1,
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"input_dims": 128,
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"max_decoder_noise_time": 20000.0,
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"num_heads": 12,
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