Instructions to use Namerlight/clotho-conditional-audio-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Namerlight/clotho-conditional-audio-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("Namerlight/clotho-conditional-audio-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
Commit ·
7ff43f7
1
Parent(s): f3e8c9d
Delete mel_config.json
Browse files- mel_config.json +0 -11
mel_config.json
DELETED
|
@@ -1,11 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"_class_name": "Mel",
|
| 3 |
-
"_diffusers_version": "0.24.0",
|
| 4 |
-
"hop_length": 512,
|
| 5 |
-
"n_fft": 2048,
|
| 6 |
-
"n_iter": 32,
|
| 7 |
-
"sample_rate": 22050,
|
| 8 |
-
"top_db": 80,
|
| 9 |
-
"x_res": 128,
|
| 10 |
-
"y_res": 128
|
| 11 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|