Prediction

Model

cjwbw/damo-text-to-video:1e205ea7

kfg5ftkjmzbt3jfpajv4r4bz6m

Status

Succeeded

Source

Web

Hardware

–

Total duration

5m 20s

Created

over 2 years ago by chenxwh

Webhook

–

Input

prompt: A panda eating bamboo on a rock.
num_frames: 50
num_inference_steps: 50
fps: 8

{
  "fps": 8,
  "num_frames": 50,
  "num_inference_steps": 50,
  "prompt": "A panda eating bamboo on a rock."
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_UMv**********************************

This is your API token. Keep it to yourself.

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 cjwbw/damo-text-to-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/damo-text-to-video:1e205ea73084bd17a0a3b43396e49ba0d6bc2e754e9283b2df49fad2dcf95755",
  {
    input: {
      fps: 8,
      num_frames: 50,
      num_inference_steps: 50,
      prompt: "A panda eating bamboo on a rock."
    }
  }
);

// 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=r8_UMv**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run cjwbw/damo-text-to-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/damo-text-to-video:1e205ea73084bd17a0a3b43396e49ba0d6bc2e754e9283b2df49fad2dcf95755",
    input={
        "fps": 8,
        "num_frames": 50,
        "num_inference_steps": 50,
        "prompt": "A panda eating bamboo on a rock."
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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=r8_UMv**********************************

This is your API token. Keep it to yourself.

Run cjwbw/damo-text-to-video 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": "cjwbw/damo-text-to-video:1e205ea73084bd17a0a3b43396e49ba0d6bc2e754e9283b2df49fad2dcf95755",
    "input": {
      "fps": 8,
      "num_frames": 50,
      "num_inference_steps": 50,
      "prompt": "A panda eating bamboo on a rock."
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "kfg5ftkjmzbt3jfpajv4r4bz6m",
  "model": "cjwbw/damo-text-to-video",
  "version": "1e205ea73084bd17a0a3b43396e49ba0d6bc2e754e9283b2df49fad2dcf95755",
  "input": {
    "fps": 8,
    "num_frames": 50,
    "num_inference_steps": 50,
    "prompt": "A panda eating bamboo on a rock."
  },
  "logs": "Using seed: 8502\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:04<03:29,  4.27s/it]\n  4%|▍         | 2/50 [00:07<02:46,  3.47s/it]\n  6%|▌         | 3/50 [00:10<02:31,  3.23s/it]\n  8%|▊         | 4/50 [00:13<02:23,  3.12s/it]\n 10%|█         | 5/50 [00:16<02:17,  3.06s/it]\n 12%|█▏        | 6/50 [00:19<02:13,  3.03s/it]\n 14%|█▍        | 7/50 [00:22<02:10,  3.03s/it]\n 16%|█▌        | 8/50 [00:25<02:07,  3.02s/it]\n 18%|█▊        | 9/50 [00:28<02:03,  3.02s/it]\n 20%|██        | 10/50 [00:31<02:00,  3.02s/it]\n 22%|██▏       | 11/50 [00:34<01:57,  3.01s/it]\n 24%|██▍       | 12/50 [00:37<01:54,  3.00s/it]\n 26%|██▌       | 13/50 [00:40<01:50,  2.99s/it]\n 28%|██▊       | 14/50 [00:43<01:47,  2.99s/it]\n 30%|███       | 15/50 [00:45<01:44,  2.99s/it]\n 32%|███▏      | 16/50 [00:48<01:41,  2.98s/it]\n 34%|███▍      | 17/50 [00:51<01:38,  2.97s/it]\n 36%|███▌      | 18/50 [00:54<01:34,  2.96s/it]\n 38%|███▊      | 19/50 [00:57<01:31,  2.95s/it]\n 40%|████      | 20/50 [01:00<01:28,  2.94s/it]\n 42%|████▏     | 21/50 [01:03<01:25,  2.94s/it]\n 44%|████▍     | 22/50 [01:06<01:22,  2.93s/it]\n 46%|████▌     | 23/50 [01:09<01:19,  2.93s/it]\n 48%|████▊     | 24/50 [01:12<01:16,  2.92s/it]\n 50%|█████     | 25/50 [01:15<01:13,  2.92s/it]\n 52%|█████▏    | 26/50 [01:18<01:10,  2.92s/it]\n 54%|█████▍    | 27/50 [01:21<01:07,  2.92s/it]\n 56%|█████▌    | 28/50 [01:24<01:04,  2.92s/it]\n 58%|█████▊    | 29/50 [01:26<01:01,  2.92s/it]\n 60%|██████    | 30/50 [01:29<00:58,  2.92s/it]\n 62%|██████▏   | 31/50 [01:32<00:55,  2.93s/it]\n 64%|██████▍   | 32/50 [01:35<00:52,  2.93s/it]\n 66%|██████▌   | 33/50 [01:38<00:49,  2.93s/it]\n 68%|██████▊   | 34/50 [01:41<00:47,  2.94s/it]\n 70%|███████   | 35/50 [01:44<00:44,  2.95s/it]\n 72%|███████▏  | 36/50 [01:47<00:41,  2.95s/it]\n 74%|███████▍  | 37/50 [01:50<00:38,  2.95s/it]\n 76%|███████▌  | 38/50 [01:53<00:35,  2.96s/it]\n 78%|███████▊  | 39/50 [01:56<00:32,  2.96s/it]\n 80%|████████  | 40/50 [01:59<00:29,  2.96s/it]\n 82%|████████▏ | 41/50 [02:02<00:26,  2.97s/it]\n 84%|████████▍ | 42/50 [02:05<00:23,  2.98s/it]\n 86%|████████▌ | 43/50 [02:08<00:20,  2.98s/it]\n 88%|████████▊ | 44/50 [02:11<00:17,  2.98s/it]\n 90%|█████████ | 45/50 [02:14<00:14,  2.98s/it]\n 92%|█████████▏| 46/50 [02:17<00:11,  2.97s/it]\n 94%|█████████▍| 47/50 [02:20<00:08,  2.97s/it]\n 96%|█████████▌| 48/50 [02:23<00:05,  2.96s/it]\n 98%|█████████▊| 49/50 [02:26<00:02,  2.95s/it]\n100%|██████████| 50/50 [02:29<00:00,  2.95s/it]\n100%|██████████| 50/50 [02:29<00:00,  2.98s/it]",
  "output": "https://replicate.delivery/pbxt/0KtGrmSHZM5eGy2kXndo7DmKfg5MS9pPf7TaM9iIKVxN1QVhA/out.mp4",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-03-23T22:32:07.478436Z",
  "started_at": "2023-03-23T22:34:51.742948Z",
  "completed_at": "2023-03-23T22:37:27.583925Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/kfg5ftkjmzbt3jfpajv4r4bz6m/cancel",
    "get": "https://api.replicate.com/v1/predictions/kfg5ftkjmzbt3jfpajv4r4bz6m"
  },
  "metrics": {
    "predict_time": 155.840977,
    "total_time": 320.105489
  }
}

Generated in

2 minutes 36 seconds

Tweak it Report

Using seed: 8502 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:04<03:29, 4.27s/it] 4%|▍ | 2/50 [00:07<02:46, 3.47s/it] 6%|▌ | 3/50 [00:10<02:31, 3.23s/it] 8%|▊ | 4/50 [00:13<02:23, 3.12s/it] 10%|█ | 5/50 [00:16<02:17, 3.06s/it] 12%|█▏ | 6/50 [00:19<02:13, 3.03s/it] 14%|█▍ | 7/50 [00:22<02:10, 3.03s/it] 16%|█▌ | 8/50 [00:25<02:07, 3.02s/it] 18%|█▊ | 9/50 [00:28<02:03, 3.02s/it] 20%|██ | 10/50 [00:31<02:00, 3.02s/it] 22%|██▏ | 11/50 [00:34<01:57, 3.01s/it] 24%|██▍ | 12/50 [00:37<01:54, 3.00s/it] 26%|██▌ | 13/50 [00:40<01:50, 2.99s/it] 28%|██▊ | 14/50 [00:43<01:47, 2.99s/it] 30%|███ | 15/50 [00:45<01:44, 2.99s/it] 32%|███▏ | 16/50 [00:48<01:41, 2.98s/it] 34%|███▍ | 17/50 [00:51<01:38, 2.97s/it] 36%|███▌ | 18/50 [00:54<01:34, 2.96s/it] 38%|███▊ | 19/50 [00:57<01:31, 2.95s/it] 40%|████ | 20/50 [01:00<01:28, 2.94s/it] 42%|████▏ | 21/50 [01:03<01:25, 2.94s/it] 44%|████▍ | 22/50 [01:06<01:22, 2.93s/it] 46%|████▌ | 23/50 [01:09<01:19, 2.93s/it] 48%|████▊ | 24/50 [01:12<01:16, 2.92s/it] 50%|█████ | 25/50 [01:15<01:13, 2.92s/it] 52%|█████▏ | 26/50 [01:18<01:10, 2.92s/it] 54%|█████▍ | 27/50 [01:21<01:07, 2.92s/it] 56%|█████▌ | 28/50 [01:24<01:04, 2.92s/it] 58%|█████▊ | 29/50 [01:26<01:01, 2.92s/it] 60%|██████ | 30/50 [01:29<00:58, 2.92s/it] 62%|██████▏ | 31/50 [01:32<00:55, 2.93s/it] 64%|██████▍ | 32/50 [01:35<00:52, 2.93s/it] 66%|██████▌ | 33/50 [01:38<00:49, 2.93s/it] 68%|██████▊ | 34/50 [01:41<00:47, 2.94s/it] 70%|███████ | 35/50 [01:44<00:44, 2.95s/it] 72%|███████▏ | 36/50 [01:47<00:41, 2.95s/it] 74%|███████▍ | 37/50 [01:50<00:38, 2.95s/it] 76%|███████▌ | 38/50 [01:53<00:35, 2.96s/it] 78%|███████▊ | 39/50 [01:56<00:32, 2.96s/it] 80%|████████ | 40/50 [01:59<00:29, 2.96s/it] 82%|████████▏ | 41/50 [02:02<00:26, 2.97s/it] 84%|████████▍ | 42/50 [02:05<00:23, 2.98s/it] 86%|████████▌ | 43/50 [02:08<00:20, 2.98s/it] 88%|████████▊ | 44/50 [02:11<00:17, 2.98s/it] 90%|█████████ | 45/50 [02:14<00:14, 2.98s/it] 92%|█████████▏| 46/50 [02:17<00:11, 2.97s/it] 94%|█████████▍| 47/50 [02:20<00:08, 2.97s/it] 96%|█████████▌| 48/50 [02:23<00:05, 2.96s/it] 98%|█████████▊| 49/50 [02:26<00:02, 2.95s/it] 100%|██████████| 50/50 [02:29<00:00, 2.95s/it] 100%|██████████| 50/50 [02:29<00:00, 2.98s/it]