camenduru/dynami-crafter-576x1024:e79ff8d0 – Run with an API on Replicate

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camenduru /dynami-crafter-576x1024:e79ff8d0

Playground API

Input

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

npx create-replicate --model=camenduru/dynami-crafter-576x1024

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/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "camenduru/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1",
  {
    input: {
      i2v_eta: 1,
      i2v_seed: 123,
      i2v_steps: 50,
      i2v_motion: 4,
      i2v_cfg_scale: 7.5,
      i2v_input_text: "man fishing in a boat at sunset"
    }
  }
);

// 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 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/dynami-crafter-576x1024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "camenduru/dynami-crafter-576x1024:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1",
    input={
        "i2v_eta": 1,
        "i2v_seed": 123,
        "i2v_steps": 50,
        "i2v_motion": 4,
        "i2v_cfg_scale": 7.5,
        "i2v_input_text": "man fishing in a boat at sunset"
    }
)
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/dynami-crafter-576x1024 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": "e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1",
    "input": {
      "i2v_eta": 1,
      "i2v_seed": 123,
      "i2v_steps": 50,
      "i2v_motion": 4,
      "i2v_cfg_scale": 7.5,
      "i2v_input_text": "man fishing in a boat at sunset"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

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

Run this to download the model and run it in your local environment:

cog predict r8.im/camenduru/dynami-crafter-576x1024@sha256:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1 \
  -i 'i2v_eta=1' \
  -i 'i2v_seed=123' \
  -i 'i2v_steps=50' \
  -i 'i2v_motion=4' \
  -i 'i2v_cfg_scale=7.5' \
  -i 'i2v_input_text="man fishing in a boat at sunset"'

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

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/camenduru/dynami-crafter-576x1024@sha256:e79ff8d01e81cbd90acfa1df4f209f637da2c68307891d77a6e4227f4ec350f1
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "i2v_eta": 1,
      "i2v_seed": 123,
      "i2v_steps": 50,
      "i2v_motion": 4,
      "i2v_cfg_scale": 7.5,
      "i2v_input_text": "man fishing in a boat at sunset"
    }
  }' \
  http://localhost:5000/predictions

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

Output

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