Instructions to use circulus/SoundLDM-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use circulus/SoundLDM-base-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circulus/SoundLDM-base-v1", torch_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
File size: 649 Bytes
276a72f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | {
"architectures": [
"SpeechT5HifiGan"
],
"initializer_range": 0.01,
"leaky_relu_slope": 0.1,
"model_in_dim": 64,
"model_type": "hifigan",
"normalize_before": false,
"resblock_dilation_sizes": [
[
1,
3,
5
],
[
1,
3,
5
],
[
1,
3,
5
]
],
"resblock_kernel_sizes": [
3,
7,
11
],
"sampling_rate": 16000,
"torch_dtype": "float32",
"transformers_version": "4.28.1",
"upsample_initial_channel": 1024,
"upsample_kernel_sizes": [
16,
16,
8,
4,
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],
"upsample_rates": [
5,
4,
2,
2,
2
]
}
|