Versions
Failed to load versions. Head to the versions page to see all versions for this model.
You're looking at a specific version of this model. Jump to the model overview.
stackadoc /stable-audio-open-1.0:49b1d4f0
This version is disabled.
This version has been disabled because it consistently fails to complete setup.
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=stackadoc/stable-audio-open-1.0
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run stackadoc/stable-audio-open-1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"stackadoc/stable-audio-open-1.0:49b1d4f06f69989dd2c8252d455d2deebaa3c3e3e894694b8aed301c69e75913",
{
input: {
seed: -1,
steps: 100,
prompt: "128 BPM tech house drum loop",
cfg_scale: 6,
sigma_max: 500,
sigma_min: 0.03,
batch_size: 1,
sampler_type: "dpmpp-3m-sde",
seconds_start: 0,
seconds_total: 8,
negative_prompt: "",
init_noise_level: 1
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:
pip install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun stackadoc/stable-audio-open-1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"stackadoc/stable-audio-open-1.0:49b1d4f06f69989dd2c8252d455d2deebaa3c3e3e894694b8aed301c69e75913",
input={
"seed": -1,
"steps": 100,
"prompt": "128 BPM tech house drum loop",
"cfg_scale": 6,
"sigma_max": 500,
"sigma_min": 0.03,
"batch_size": 1,
"sampler_type": "dpmpp-3m-sde",
"seconds_start": 0,
"seconds_total": 8,
"negative_prompt": "",
"init_noise_level": 1
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run stackadoc/stable-audio-open-1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "stackadoc/stable-audio-open-1.0:49b1d4f06f69989dd2c8252d455d2deebaa3c3e3e894694b8aed301c69e75913",
"input": {
"seed": -1,
"steps": 100,
"prompt": "128 BPM tech house drum loop",
"cfg_scale": 6,
"sigma_max": 500,
"sigma_min": 0.03,
"batch_size": 1,
"sampler_type": "dpmpp-3m-sde",
"seconds_start": 0,
"seconds_total": 8,
"negative_prompt": "",
"init_noise_level": 1
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
Sign in with GitHub
By signing in, you agree to our
terms of service and privacy policy
Output
Video Player is loading.
Current Time 00:00:000
/
Duration 00:00:000
Loaded: 0%
00:00:000
Stream Type LIVE
Remaining Time -00:00:000
1x
- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
{
"completed_at": "2024-06-24T15:02:20.169176Z",
"created_at": "2024-06-24T14:58:04.345000Z",
"data_removed": false,
"error": null,
"id": "8a171frdq5rgc0cg9b0s8vymkg",
"input": {
"seed": -1,
"steps": 100,
"prompt": "128 BPM tech house drum loop",
"cfg_scale": 6,
"sigma_max": 500,
"sigma_min": 0.03,
"batch_size": 1,
"sampler_type": "dpmpp-3m-sde",
"seconds_start": 0,
"seconds_total": 8,
"negative_prompt": "",
"init_noise_level": 1
},
"logs": "Prompt: 128 BPM tech house drum loop\n630051780\n 0%| | 0/100 [00:00<?, ?it/s]/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torch/backends/cuda/__init__.py:342: FutureWarning: torch.backends.cuda.sdp_kernel() is deprecated. In the future, this context manager will be removed. Please see, torch.nn.attention.sdpa_kernel() for the new context manager, with updated signature.\nwarnings.warn(\n 1%| | 1/100 [00:00<00:28, 3.53it/s]\n 3%|▎ | 3/100 [00:00<00:12, 7.78it/s]\n 5%|▌ | 5/100 [00:00<00:09, 10.07it/s]\n 7%|▋ | 7/100 [00:00<00:08, 11.41it/s]\n 9%|▉ | 9/100 [00:00<00:07, 12.23it/s]\n 11%|█ | 11/100 [00:01<00:06, 12.81it/s]\n 13%|█▎ | 13/100 [00:01<00:06, 13.09it/s]\n 15%|█▌ | 15/100 [00:01<00:06, 13.32it/s]\n 17%|█▋ | 17/100 [00:01<00:06, 13.49it/s]\n 19%|█▉ | 19/100 [00:01<00:05, 13.62it/s]\n 21%|██ | 21/100 [00:01<00:05, 13.77it/s]\n 23%|██▎ | 23/100 [00:01<00:05, 13.92it/s]\n 25%|██▌ | 25/100 [00:02<00:05, 14.01it/s]\n 27%|██▋ | 27/100 [00:02<00:05, 13.97it/s]\n 29%|██▉ | 29/100 [00:02<00:05, 13.93it/s]\n 31%|███ | 31/100 [00:02<00:04, 13.95it/s]\n 33%|███▎ | 33/100 [00:02<00:04, 13.90it/s]\n 35%|███▌ | 35/100 [00:02<00:04, 13.89it/s]\n 37%|███▋ | 37/100 [00:02<00:04, 13.91it/s]\n 39%|███▉ | 39/100 [00:03<00:04, 13.95it/s]\n 41%|████ | 41/100 [00:03<00:04, 13.98it/s]\n 43%|████▎ | 43/100 [00:03<00:04, 14.01it/s]\n 45%|████▌ | 45/100 [00:03<00:03, 14.10it/s]\n 47%|████▋ | 47/100 [00:03<00:03, 14.17it/s]\n 49%|████▉ | 49/100 [00:03<00:03, 14.22it/s]\n 51%|█████ | 51/100 [00:03<00:03, 14.27it/s]\n 53%|█████▎ | 53/100 [00:03<00:03, 14.33it/s]\n 55%|█████▌ | 55/100 [00:04<00:03, 14.35it/s]\n 57%|█████▋ | 57/100 [00:04<00:02, 14.34it/s]\n 59%|█████▉ | 59/100 [00:04<00:02, 14.39it/s]\n 61%|██████ | 61/100 [00:04<00:02, 14.45it/s]\n 63%|██████▎ | 63/100 [00:04<00:02, 14.53it/s]\n 65%|██████▌ | 65/100 [00:04<00:02, 14.57it/s]\n 67%|██████▋ | 67/100 [00:04<00:02, 14.61it/s]\n 69%|██████▉ | 69/100 [00:05<00:02, 14.64it/s]\n 71%|███████ | 71/100 [00:05<00:01, 14.50it/s]\n 73%|███████▎ | 73/100 [00:05<00:01, 14.40it/s]\n 75%|███████▌ | 75/100 [00:05<00:01, 14.41it/s]\n 77%|███████▋ | 77/100 [00:05<00:01, 14.44it/s]\n 79%|███████▉ | 79/100 [00:05<00:01, 14.43it/s]\n 81%|████████ | 81/100 [00:05<00:01, 14.45it/s]\n 83%|████████▎ | 83/100 [00:06<00:01, 14.50it/s]\n 85%|████████▌ | 85/100 [00:06<00:01, 14.44it/s]\n 87%|████████▋ | 87/100 [00:06<00:00, 14.47it/s]\n 89%|████████▉ | 89/100 [00:06<00:00, 14.50it/s]\n 91%|█████████ | 91/100 [00:06<00:00, 14.57it/s]\n 93%|█████████▎| 93/100 [00:06<00:00, 14.64it/s]\n 95%|█████████▌| 95/100 [00:06<00:00, 14.71it/s]\n 97%|█████████▋| 97/100 [00:07<00:00, 14.79it/s]/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torchsde/_brownian/brownian_interval.py:599: UserWarning: Should have ta>=t0 but got ta=0.029999999329447746 and t0=0.03.\nwarnings.warn(f\"Should have ta>=t0 but got ta={ta} and t0={self._start}.\")\n 99%|█████████▉| 99/100 [00:07<00:00, 14.89it/s]\n100%|██████████| 100/100 [00:07<00:00, 13.86it/s]",
"metrics": {
"predict_time": 8.626604905,
"total_time": 255.824176
},
"output": "https://replicate.delivery/czjl/Qcx1n6TxgkLAHV9FNyfNl0hRycNOfGR4IN3wG11bVRN8xzBTA/output.wav",
"started_at": "2024-06-24T15:02:11.542571Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/8a171frdq5rgc0cg9b0s8vymkg",
"cancel": "https://api.replicate.com/v1/predictions/8a171frdq5rgc0cg9b0s8vymkg/cancel"
},
"version": "49b1d4f06f69989dd2c8252d455d2deebaa3c3e3e894694b8aed301c69e75913"
}Generated in
Prompt: 128 BPM tech house drum loop
630051780
0%| | 0/100 [00:00<?, ?it/s]/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torch/backends/cuda/__init__.py:342: FutureWarning: torch.backends.cuda.sdp_kernel() is deprecated. In the future, this context manager will be removed. Please see, torch.nn.attention.sdpa_kernel() for the new context manager, with updated signature.
warnings.warn(
1%| | 1/100 [00:00<00:28, 3.53it/s]
3%|▎ | 3/100 [00:00<00:12, 7.78it/s]
5%|▌ | 5/100 [00:00<00:09, 10.07it/s]
7%|▋ | 7/100 [00:00<00:08, 11.41it/s]
9%|▉ | 9/100 [00:00<00:07, 12.23it/s]
11%|█ | 11/100 [00:01<00:06, 12.81it/s]
13%|█▎ | 13/100 [00:01<00:06, 13.09it/s]
15%|█▌ | 15/100 [00:01<00:06, 13.32it/s]
17%|█▋ | 17/100 [00:01<00:06, 13.49it/s]
19%|█▉ | 19/100 [00:01<00:05, 13.62it/s]
21%|██ | 21/100 [00:01<00:05, 13.77it/s]
23%|██▎ | 23/100 [00:01<00:05, 13.92it/s]
25%|██▌ | 25/100 [00:02<00:05, 14.01it/s]
27%|██▋ | 27/100 [00:02<00:05, 13.97it/s]
29%|██▉ | 29/100 [00:02<00:05, 13.93it/s]
31%|███ | 31/100 [00:02<00:04, 13.95it/s]
33%|███▎ | 33/100 [00:02<00:04, 13.90it/s]
35%|███▌ | 35/100 [00:02<00:04, 13.89it/s]
37%|███▋ | 37/100 [00:02<00:04, 13.91it/s]
39%|███▉ | 39/100 [00:03<00:04, 13.95it/s]
41%|████ | 41/100 [00:03<00:04, 13.98it/s]
43%|████▎ | 43/100 [00:03<00:04, 14.01it/s]
45%|████▌ | 45/100 [00:03<00:03, 14.10it/s]
47%|████▋ | 47/100 [00:03<00:03, 14.17it/s]
49%|████▉ | 49/100 [00:03<00:03, 14.22it/s]
51%|█████ | 51/100 [00:03<00:03, 14.27it/s]
53%|█████▎ | 53/100 [00:03<00:03, 14.33it/s]
55%|█████▌ | 55/100 [00:04<00:03, 14.35it/s]
57%|█████▋ | 57/100 [00:04<00:02, 14.34it/s]
59%|█████▉ | 59/100 [00:04<00:02, 14.39it/s]
61%|██████ | 61/100 [00:04<00:02, 14.45it/s]
63%|██████▎ | 63/100 [00:04<00:02, 14.53it/s]
65%|██████▌ | 65/100 [00:04<00:02, 14.57it/s]
67%|██████▋ | 67/100 [00:04<00:02, 14.61it/s]
69%|██████▉ | 69/100 [00:05<00:02, 14.64it/s]
71%|███████ | 71/100 [00:05<00:01, 14.50it/s]
73%|███████▎ | 73/100 [00:05<00:01, 14.40it/s]
75%|███████▌ | 75/100 [00:05<00:01, 14.41it/s]
77%|███████▋ | 77/100 [00:05<00:01, 14.44it/s]
79%|███████▉ | 79/100 [00:05<00:01, 14.43it/s]
81%|████████ | 81/100 [00:05<00:01, 14.45it/s]
83%|████████▎ | 83/100 [00:06<00:01, 14.50it/s]
85%|████████▌ | 85/100 [00:06<00:01, 14.44it/s]
87%|████████▋ | 87/100 [00:06<00:00, 14.47it/s]
89%|████████▉ | 89/100 [00:06<00:00, 14.50it/s]
91%|█████████ | 91/100 [00:06<00:00, 14.57it/s]
93%|█████████▎| 93/100 [00:06<00:00, 14.64it/s]
95%|█████████▌| 95/100 [00:06<00:00, 14.71it/s]
97%|█████████▋| 97/100 [00:07<00:00, 14.79it/s]/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torchsde/_brownian/brownian_interval.py:599: UserWarning: Should have ta>=t0 but got ta=0.029999999329447746 and t0=0.03.
warnings.warn(f"Should have ta>=t0 but got ta={ta} and t0={self._start}.")
99%|█████████▉| 99/100 [00:07<00:00, 14.89it/s]
100%|██████████| 100/100 [00:07<00:00, 13.86it/s]