haoheliu / audio-ldm

Text-to-audio generation with latent diffusion models

Cold

Public
37.4K runs
T4
GitHub
Paper
License

Run with an API

Playground API Examples README Versions

Prediction

haoheliu/audio-ldm:b61392ad

Model

haoheliu/audio-ldm:b61392ad

md4wuqmzxjahzogiwq5q5al6tm

Status

Succeeded

Source

Web

Hardware

–

Total duration

4m 42s

Created

about 2 years ago

Input

text: catchy upbeat pop music, kick drum, bouncy
duration: 5.0
n_candidates: 3
guidance_scale: 2.5

{
  "text": "catchy upbeat pop music, kick drum, bouncy",
  "duration": "5.0",
  "n_candidates": 3,
  "guidance_scale": 2.5
}

Install Replicate’s Node.js client library:

npm install replicate

Set 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";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run haoheliu/audio-ldm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "haoheliu/audio-ldm:b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95",
  {
    input: {
      text: "catchy upbeat pop music, kick drum, bouncy",
      duration: "5.0",
      n_candidates: 3,
      guidance_scale: 2.5
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set 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 replicate

Run haoheliu/audio-ldm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "haoheliu/audio-ldm:b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95",
    input={
        "text": "catchy upbeat pop music, kick drum, bouncy",
        "duration": "5.0",
        "n_candidates": 3,
        "guidance_scale": 2.5
    }
)
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 haoheliu/audio-ldm 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": "b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95",
    "input": {
      "text": "catchy upbeat pop music, kick drum, bouncy",
      "duration": "5.0",
      "n_candidates": 3,
      "guidance_scale": 2.5
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Video Player is loading.

Current Time 00:00:000

Duration 00:00:000

Loaded: 0%

Stream Type LIVE

Remaining Time 00:00:000

{
  "completed_at": "2023-02-03T01:42:31.111629Z",
  "created_at": "2023-02-03T01:37:49.245160Z",
  "data_removed": false,
  "error": null,
  "id": "md4wuqmzxjahzogiwq5q5al6tm",
  "input": {
    "text": "catchy upbeat pop music, kick drum, bouncy",
    "duration": "5.0",
    "n_candidates": 3,
    "guidance_scale": 2.5
  },
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100%|██████████| 200/200 [00:25<00:00,  7.79it/s]",
  "metrics": {
    "predict_time": 34.81448,
    "total_time": 281.866469
  },
  "output": "https://replicate.delivery/pbxt/WbjrQqWpOtJSC90SRxHIoCCLaKQkfFREdocXVuse0QdGihaQA/catchy%20upbeat%20pop%20music%2C%20kick%20drum%2C%20bouncy.wav",
  "started_at": "2023-02-03T01:41:56.297149Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/md4wuqmzxjahzogiwq5q5al6tm",
    "cancel": "https://api.replicate.com/v1/predictions/md4wuqmzxjahzogiwq5q5al6tm/cancel"
  },
  "version": "b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95"
}

Generated in

34.8 seconds

Tweak it ShareReport

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Prediction

haoheliu/audio-ldm:b61392ad

Model

haoheliu/audio-ldm:b61392ad

3zgl32rcf5ahris63opyvlssou

Status

Succeeded

Source

Web

Hardware

–

Total duration

25.3s

Created

about 2 years ago

Input

text: a hammer hits a wooden surface
duration: 5.0
n_candidates: 3
guidance_scale: 2.5

{
  "text": "a hammer hits a wooden surface",
  "duration": "5.0",
  "n_candidates": 3,
  "guidance_scale": 2.5
}

Install Replicate’s Node.js client library:

npm install replicate

Set 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";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run haoheliu/audio-ldm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "haoheliu/audio-ldm:b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95",
  {
    input: {
      text: "a hammer hits a wooden surface",
      duration: "5.0",
      n_candidates: 3,
      guidance_scale: 2.5
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set 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 replicate

Run haoheliu/audio-ldm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "haoheliu/audio-ldm:b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95",
    input={
        "text": "a hammer hits a wooden surface",
        "duration": "5.0",
        "n_candidates": 3,
        "guidance_scale": 2.5
    }
)
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 haoheliu/audio-ldm 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": "b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95",
    "input": {
      "text": "a hammer hits a wooden surface",
      "duration": "5.0",
      "n_candidates": 3,
      "guidance_scale": 2.5
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Video Player is loading.

Current Time 00:00:000

Duration 00:00:000

Loaded: 0%

Stream Type LIVE

Remaining Time 00:00:000

{
  "completed_at": "2023-02-03T01:45:56.522900Z",
  "created_at": "2023-02-03T01:45:31.271429Z",
  "data_removed": false,
  "error": null,
  "id": "3zgl32rcf5ahris63opyvlssou",
  "input": {
    "text": "a hammer hits a wooden surface",
    "duration": "5.0",
    "n_candidates": 3,
    "guidance_scale": 2.5
  },
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100%|██████████| 200/200 [00:23<00:00,  8.51it/s]",
  "metrics": {
    "predict_time": 25.17613,
    "total_time": 25.251471
  },
  "output": "https://replicate.delivery/pbxt/of3trP4RzSVbSaTWpNPr5e6fqAqdtu4g7OSczm9JPRfSVGqBB/a%20hammer%20hits%20a%20wooden%20surface.wav",
  "started_at": "2023-02-03T01:45:31.346770Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3zgl32rcf5ahris63opyvlssou",
    "cancel": "https://api.replicate.com/v1/predictions/3zgl32rcf5ahris63opyvlssou/cancel"
  },
  "version": "b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95"
}

Generated in

25.2 seconds

Tweak it ShareReport

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Prediction

haoheliu/audio-ldm:b61392ad

Model

haoheliu/audio-ldm:b61392ad

c24g2srwuvd23ascxoezjlqxfq

Status

Succeeded

Source

Web

Hardware

–

Total duration

25.5s

Created

about 2 years ago by @jagilley

Input

text: two starships are fighting in space with laser cannons
duration: 5.0
n_candidates: 3
guidance_scale: 2.5

{
  "text": "two starships are fighting in space with laser cannons",
  "duration": "5.0",
  "n_candidates": 3,
  "guidance_scale": 2.5
}

Install Replicate’s Node.js client library:

npm install replicate

Set 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";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run haoheliu/audio-ldm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "haoheliu/audio-ldm:b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95",
  {
    input: {
      text: "two starships are fighting in space with laser cannons",
      duration: "5.0",
      n_candidates: 3,
      guidance_scale: 2.5
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set 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 replicate

Run haoheliu/audio-ldm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "haoheliu/audio-ldm:b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95",
    input={
        "text": "two starships are fighting in space with laser cannons",
        "duration": "5.0",
        "n_candidates": 3,
        "guidance_scale": 2.5
    }
)
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 haoheliu/audio-ldm 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": "b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95",
    "input": {
      "text": "two starships are fighting in space with laser cannons",
      "duration": "5.0",
      "n_candidates": 3,
      "guidance_scale": 2.5
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Video Player is loading.

Current Time 00:00:000

Duration 00:00:000

Loaded: 0%

Stream Type LIVE

Remaining Time 00:00:000

{
  "completed_at": "2023-02-03T01:46:46.411968Z",
  "created_at": "2023-02-03T01:46:20.900393Z",
  "data_removed": false,
  "error": null,
  "id": "c24g2srwuvd23ascxoezjlqxfq",
  "input": {
    "text": "two starships are fighting in space with laser cannons",
    "duration": "5.0",
    "n_candidates": 3,
    "guidance_scale": 2.5
  },
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100%|██████████| 200/200 [00:23<00:00,  8.40it/s]",
  "metrics": {
    "predict_time": 25.437264,
    "total_time": 25.511575
  },
  "output": "https://replicate.delivery/pbxt/HtbbL1ngdwJLKhxE9ds3aeIWvm7r3I8e0D5VgjQ4ZLDGmhaQA/two%20starships%20are%20fighting%20in%20space%20with%20laser%20cannons.wav",
  "started_at": "2023-02-03T01:46:20.974704Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/c24g2srwuvd23ascxoezjlqxfq",
    "cancel": "https://api.replicate.com/v1/predictions/c24g2srwuvd23ascxoezjlqxfq/cancel"
  },
  "version": "b61392adecdd660326fc9cfc5398182437dbe5e97b5decfb36e1a36de68b5b95"
}

Generated in

25.4 seconds

Tweak it ShareReport

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DDIM Sampler:  63%|██████▎   | 126/200 [00:14<00:08,  8.41it/s]
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DDIM Sampler:  74%|███████▍  | 149/200 [00:17<00:06,  8.34it/s]
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DDIM Sampler:  89%|████████▉ | 178/200 [00:21<00:02,  8.37it/s]
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DDIM Sampler:  92%|█████████▎| 185/200 [00:22<00:01,  8.35it/s]
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DDIM Sampler:  95%|█████████▌| 190/200 [00:22<00:01,  8.34it/s]
DDIM Sampler:  96%|█████████▌| 191/200 [00:22<00:01,  8.33it/s]
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DDIM Sampler:  97%|█████████▋| 194/200 [00:23<00:00,  8.33it/s]
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DDIM Sampler: 100%|██████████| 200/200 [00:23<00:00,  8.40it/s]

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haoheliu / audio-ldm

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (md4wuqmzxjahzogiwq5q5al6tm)

Logs (3zgl32rcf5ahris63opyvlssou)

Logs (c24g2srwuvd23ascxoezjlqxfq)