Audio-to-Audio
Diffusers
Safetensors
SpanSynthEditPipeline
audio
music
midi
midi-to-audio
flow-matching
Instructions to use mimbres/spansynth-edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mimbres/spansynth-edit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mimbres/spansynth-edit", 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: 778 Bytes
c8eb66c | 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 52 53 | {
"_class_name": "HeartCodecModel",
"_diffusers_version": "0.40.0",
"codec_config": {
"causal": true,
"channel_mults": [
2,
2,
2,
2,
2
],
"config_source_notes": null,
"default_kernel_size": 7,
"delay_kernel_size": 5,
"downsample_factors": [
3,
4,
4,
4,
5
],
"downsample_kernel_sizes": [
6,
8,
8,
8,
10
],
"init_channel": 64,
"latent_hidden_dim": 128,
"mode": "pre_proj",
"num_bands": 1,
"num_samples": 2,
"res_kernel_size": 7,
"sample_rate": 48000,
"upsample_factors": [
5,
4,
4,
4,
3
],
"upsample_kernel_sizes": [
10,
8,
8,
8,
6
]
}
}
|