camenduru/dynami-crafter:17daec0f – Run with an API on Replicate

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camenduru /dynami-crafter:17daec0f

Playground API

Input

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

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

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 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:17daec0f8d078e021ba8997118643d0a455d8385f92c44d262e5ce8c259d0575",
  {
    input: {
      i2v_eta: 1,
      i2v_seed: 123,
      i2v_steps: 50,
      i2v_motion: 3,
      i2v_cfg_scale: 7.5,
      i2v_input_text: "boy walking on the street",
      i2v_input_image: "https://replicate.delivery/pbxt/K1vHFesvAE0TPLLLY5J5KFFWBVRSh5Akzy6E5oPHvOqpDDGF/boy.webp"
    }
  }
);

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

output = replicate.run(
    "camenduru/dynami-crafter:17daec0f8d078e021ba8997118643d0a455d8385f92c44d262e5ce8c259d0575",
    input={
        "i2v_eta": 1,
        "i2v_seed": 123,
        "i2v_steps": 50,
        "i2v_motion": 3,
        "i2v_cfg_scale": 7.5,
        "i2v_input_text": "boy walking on the street",
        "i2v_input_image": "https://replicate.delivery/pbxt/K1vHFesvAE0TPLLLY5J5KFFWBVRSh5Akzy6E5oPHvOqpDDGF/boy.webp"
    }
)
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 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": "camenduru/dynami-crafter:17daec0f8d078e021ba8997118643d0a455d8385f92c44d262e5ce8c259d0575",
    "input": {
      "i2v_eta": 1,
      "i2v_seed": 123,
      "i2v_steps": 50,
      "i2v_motion": 3,
      "i2v_cfg_scale": 7.5,
      "i2v_input_text": "boy walking on the street",
      "i2v_input_image": "https://replicate.delivery/pbxt/K1vHFesvAE0TPLLLY5J5KFFWBVRSh5Akzy6E5oPHvOqpDDGF/boy.webp"
    }
  }' \
  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@sha256:17daec0f8d078e021ba8997118643d0a455d8385f92c44d262e5ce8c259d0575 \
  -i 'i2v_eta=1' \
  -i 'i2v_seed=123' \
  -i 'i2v_steps=50' \
  -i 'i2v_motion=3' \
  -i 'i2v_cfg_scale=7.5' \
  -i 'i2v_input_text="boy walking on the street"' \
  -i 'i2v_input_image="https://replicate.delivery/pbxt/K1vHFesvAE0TPLLLY5J5KFFWBVRSh5Akzy6E5oPHvOqpDDGF/boy.webp"'

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 r8.im/camenduru/dynami-crafter@sha256:17daec0f8d078e021ba8997118643d0a455d8385f92c44d262e5ce8c259d0575
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "i2v_eta": 1,
      "i2v_seed": 123,
      "i2v_steps": 50,
      "i2v_motion": 3,
      "i2v_cfg_scale": 7.5,
      "i2v_input_text": "boy walking on the street",
      "i2v_input_image": "https://replicate.delivery/pbxt/K1vHFesvAE0TPLLLY5J5KFFWBVRSh5Akzy6E5oPHvOqpDDGF/boy.webp"
    }
  }' \
  http://localhost:5000/predictions

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

Output

{
  "completed_at": "2023-12-11T12:19:14.828392Z",
  "created_at": "2023-12-11T12:16:09.441334Z",
  "data_removed": false,
  "error": null,
  "id": "rpe7ja3b7wp2bscdgcnfg57y4m",
  "input": {
    "i2v_eta": 1,
    "i2v_seed": 123,
    "i2v_steps": 50,
    "i2v_motion": 3,
    "i2v_cfg_scale": 7.5,
    "i2v_input_text": "boy walking on the street",
    "i2v_input_image": "https://replicate.delivery/pbxt/K1vHFesvAE0TPLLLY5J5KFFWBVRSh5Akzy6E5oPHvOqpDDGF/boy.webp"
  },
  "logs": "Seed set to 123\nstart: boy walking on the street 2023-12-11 12:18:41\n/usr/local/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True).\nwarnings.warn(\n/usr/local/lib/python3.10/site-packages/torch/nn/modules/conv.py:459: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.)\nreturn F.conv2d(input, weight, bias, self.stride,",
  "metrics": {
    "predict_time": 34.168347,
    "total_time": 185.387058
  },
  "output": "https://replicate.delivery/pbxt/YwUoauoR5WaDNdIKSUWgx6M0WTnk1feZdIgI13EixACCBLBSA/output.mp4",
  "started_at": "2023-12-11T12:18:40.660045Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rpe7ja3b7wp2bscdgcnfg57y4m",
    "cancel": "https://api.replicate.com/v1/predictions/rpe7ja3b7wp2bscdgcnfg57y4m/cancel"
  },
  "version": "17daec0f8d078e021ba8997118643d0a455d8385f92c44d262e5ce8c259d0575"
}

Generated in

34.2 seconds

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