camenduru/streaming-t2v:ce9e0977 – Run with an API on Replicate

Version

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camenduru /streaming-t2v:ce9e0977

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=camenduru/streaming-t2v

or set up a project from scratch

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 camenduru/streaming-t2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "camenduru/streaming-t2v:ce9e09771a164b46913a7006bfa6c602735d82b748e6e433acc27103fc973b96",
  {
    input: {
      seed: 33,
      prompt: "A cat running on the street",
      enhance: false,
      num_steps: 50,
      num_frames: 24,
      image_guidance: 9,
      negative_prompt: ""
    }
  }
);
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 camenduru/streaming-t2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "camenduru/streaming-t2v:ce9e09771a164b46913a7006bfa6c602735d82b748e6e433acc27103fc973b96",
    input={
        "seed": 33,
        "prompt": "A cat running on the street",
        "enhance": False,
        "num_steps": 50,
        "num_frames": 24,
        "image_guidance": 9,
        "negative_prompt": ""
    }
)
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 camenduru/streaming-t2v 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": "ce9e09771a164b46913a7006bfa6c602735d82b748e6e433acc27103fc973b96",
    "input": {
      "seed": 33,
      "prompt": "A cat running on the street",
      "enhance": false,
      "num_steps": 50,
      "num_frames": 24,
      "image_guidance": 9,
      "negative_prompt": ""
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run camenduru/streaming-t2v using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/camenduru/streaming-t2v@sha256:ce9e09771a164b46913a7006bfa6c602735d82b748e6e433acc27103fc973b96 \
  -i 'seed=33' \
  -i 'prompt="A cat running on the street"' \
  -i 'enhance=false' \
  -i 'num_steps=50' \
  -i 'num_frames=24' \
  -i 'image_guidance=9' \
  -i 'negative_prompt=""'

To learn more, take a look at the Cog documentation.

Pull and run camenduru/streaming-t2v using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 r8.im/camenduru/streaming-t2v@sha256:ce9e09771a164b46913a7006bfa6c602735d82b748e6e433acc27103fc973b96
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 33,
      "prompt": "A cat running on the street",
      "enhance": false,
      "num_steps": 50,
      "num_frames": 24,
      "image_guidance": 9,
      "negative_prompt": ""
    }
  }' \
  http://localhost:5000/predictions

Output

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