camenduru / motion-director

{
  "seed": 0,
  "width": 256,
  "height": 256,
  "prompt": "A person is riding a bicycle past the Eiffel Tower.",
  "num_steps": 50,
  "num_frames": 24,
  "guidance_scale": 15,
  "negative_prompt": "blurry"
}

Install Replicate’s Node.js client library:

npm install replicate

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

const output = await replicate.run(
  "camenduru/motion-director:ad156a0c401e21dbed62bad260386df1fc8490eb6e312b27dbe8391552e34d68",
  {
    input: {
      seed: 0,
      width: 256,
      height: 256,
      prompt: "A person is riding a bicycle past the Eiffel Tower.",
      num_steps: 50,
      num_frames: 24,
      guidance_scale: 15,
      negative_prompt: "blurry"
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "camenduru/motion-director:ad156a0c401e21dbed62bad260386df1fc8490eb6e312b27dbe8391552e34d68",
    input={
        "seed": 0,
        "width": 256,
        "height": 256,
        "prompt": "A person is riding a bicycle past the Eiffel Tower.",
        "num_steps": 50,
        "num_frames": 24,
        "guidance_scale": 15,
        "negative_prompt": "blurry"
    }
)
print(output)

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

Run camenduru/motion-director 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/motion-director:ad156a0c401e21dbed62bad260386df1fc8490eb6e312b27dbe8391552e34d68",
    "input": {
      "seed": 0,
      "width": 256,
      "height": 256,
      "prompt": "A person is riding a bicycle past the Eiffel Tower.",
      "num_steps": 50,
      "num_frames": 24,
      "guidance_scale": 15,
      "negative_prompt": "blurry"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-12T13:25:22.472638Z",
  "created_at": "2023-12-12T13:24:58.125463Z",
  "data_removed": false,
  "error": null,
  "id": "ucai543bl6nkeuwxvnk6chfvxi",
  "input": {
    "seed": 0,
    "width": 256,
    "height": 256,
    "prompt": "A person is riding a bicycle past the Eiffel Tower.",
    "num_steps": 50,
    "num_frames": 24,
    "guidance_scale": 15,
    "negative_prompt": "blurry"
  },
  "logs": "0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:22,  2.22it/s]\n  4%|▍         | 2/50 [00:00<00:21,  2.23it/s]\n  6%|▌         | 3/50 [00:01<00:21,  2.22it/s]\n  8%|▊         | 4/50 [00:01<00:20,  2.22it/s]\n 10%|█         | 5/50 [00:02<00:20,  2.22it/s]\n 12%|█▏        | 6/50 [00:02<00:19,  2.22it/s]\n 14%|█▍        | 7/50 [00:03<00:19,  2.23it/s]\n 16%|█▌        | 8/50 [00:03<00:18,  2.23it/s]\n 18%|█▊        | 9/50 [00:04<00:18,  2.23it/s]\n 20%|██        | 10/50 [00:04<00:17,  2.23it/s]\n 22%|██▏       | 11/50 [00:04<00:17,  2.23it/s]\n 24%|██▍       | 12/50 [00:05<00:17,  2.23it/s]\n 26%|██▌       | 13/50 [00:05<00:16,  2.23it/s]\n 28%|██▊       | 14/50 [00:06<00:16,  2.23it/s]\n 30%|███       | 15/50 [00:06<00:15,  2.23it/s]\n 32%|███▏      | 16/50 [00:07<00:15,  2.23it/s]\n 34%|███▍      | 17/50 [00:07<00:14,  2.23it/s]\n 36%|███▌      | 18/50 [00:08<00:14,  2.23it/s]\n 38%|███▊      | 19/50 [00:08<00:13,  2.23it/s]\n 40%|████      | 20/50 [00:08<00:13,  2.23it/s]\n 42%|████▏     | 21/50 [00:09<00:13,  2.23it/s]\n 44%|████▍     | 22/50 [00:09<00:12,  2.23it/s]\n 46%|████▌     | 23/50 [00:10<00:12,  2.23it/s]\n 48%|████▊     | 24/50 [00:10<00:11,  2.23it/s]\n 50%|█████     | 25/50 [00:11<00:11,  2.23it/s]\n 52%|█████▏    | 26/50 [00:11<00:10,  2.22it/s]\n 54%|█████▍    | 27/50 [00:12<00:10,  2.22it/s]\n 56%|█████▌    | 28/50 [00:12<00:09,  2.22it/s]\n 58%|█████▊    | 29/50 [00:13<00:09,  2.22it/s]\n 60%|██████    | 30/50 [00:13<00:08,  2.22it/s]\n 62%|██████▏   | 31/50 [00:13<00:08,  2.23it/s]\n 64%|██████▍   | 32/50 [00:14<00:08,  2.23it/s]\n 66%|██████▌   | 33/50 [00:14<00:07,  2.23it/s]\n 68%|██████▊   | 34/50 [00:15<00:07,  2.23it/s]\n 70%|███████   | 35/50 [00:15<00:06,  2.22it/s]\n 72%|███████▏  | 36/50 [00:16<00:06,  2.22it/s]\n 74%|███████▍  | 37/50 [00:16<00:05,  2.22it/s]\n 76%|███████▌  | 38/50 [00:17<00:05,  2.22it/s]\n 78%|███████▊  | 39/50 [00:17<00:04,  2.22it/s]\n 80%|████████  | 40/50 [00:17<00:04,  2.22it/s]\n 82%|████████▏ | 41/50 [00:18<00:04,  2.22it/s]\n 84%|████████▍ | 42/50 [00:18<00:03,  2.22it/s]\n 86%|████████▌ | 43/50 [00:19<00:03,  2.22it/s]\n 88%|████████▊ | 44/50 [00:19<00:02,  2.22it/s]\n 90%|█████████ | 45/50 [00:20<00:02,  2.22it/s]\n 92%|█████████▏| 46/50 [00:20<00:01,  2.22it/s]\n 94%|█████████▍| 47/50 [00:21<00:01,  2.22it/s]\n 96%|█████████▌| 48/50 [00:21<00:00,  2.22it/s]\n 98%|█████████▊| 49/50 [00:22<00:00,  2.22it/s]\n100%|██████████| 50/50 [00:22<00:00,  2.22it/s]\n100%|██████████| 50/50 [00:22<00:00,  2.22it/s]",
  "metrics": {
    "predict_time": 24.311244,
    "total_time": 24.347175
  },
  "output": "https://replicate.delivery/pbxt/HvfjxIfwi5mzgEO3TvL74An21nOe0tbIC9e93ur7ZTWEUEGIB/%22A_person_is_riding_a_bicycle_past_the_Eiffel_Tower%22_0.mp4",
  "started_at": "2023-12-12T13:24:58.161394Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ucai543bl6nkeuwxvnk6chfvxi",
    "cancel": "https://api.replicate.com/v1/predictions/ucai543bl6nkeuwxvnk6chfvxi/cancel"
  },
  "version": "ad156a0c401e21dbed62bad260386df1fc8490eb6e312b27dbe8391552e34d68"
}

Generated in

24.3 seconds

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