Prediction

Model

andreasjansson/stable-diffusion-animation:ca1f5e30

uzj2czjjzradtjcrzet6yfqdkq

Status

Succeeded

Source

Web

Hardware

–

Total duration

3m 5s

Created

almost 3 years ago by damienbenveniste

Webhook

–

Input

prompt_start: A picture of a bear
prompt_end: A picture of an apple
width: 768
height: 512
num_inference_steps: 50
prompt_strength: 0.75
num_animation_frames: 25
num_interpolation_steps: 5
guidance_scale: 7.5
gif_frames_per_second: 50
gif_ping_pong: false
film_interpolation: true
intermediate_output: true
output_format: gif

{
  "film_interpolation": true,
  "gif_frames_per_second": "50",
  "gif_ping_pong": false,
  "guidance_scale": 7.5,
  "height": 512,
  "intermediate_output": true,
  "num_animation_frames": "25",
  "num_inference_steps": 50,
  "num_interpolation_steps": "5",
  "output_format": "gif",
  "prompt_end": "A picture of an apple",
  "prompt_start": "A picture of a bear",
  "prompt_strength": 0.75,
  "width": "768"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Yvi**********************************

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

const output = await replicate.run(
  "andreasjansson/stable-diffusion-animation:ca1f5e306e5721e19c473e0d094e6603f0456fe759c10715fcd6c1b79242d4a5",
  {
    input: {
      film_interpolation: true,
      gif_frames_per_second: "50",
      gif_ping_pong: false,
      guidance_scale: 7.5,
      height: 512,
      intermediate_output: true,
      num_animation_frames: "25",
      num_inference_steps: 50,
      num_interpolation_steps: "5",
      output_format: "gif",
      prompt_end: "A picture of an apple",
      prompt_start: "A picture of a bear",
      prompt_strength: 0.75,
      width: "768"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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_Yvi**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run andreasjansson/stable-diffusion-animation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/stable-diffusion-animation:ca1f5e306e5721e19c473e0d094e6603f0456fe759c10715fcd6c1b79242d4a5",
    input={
        "film_interpolation": True,
        "gif_frames_per_second": "50",
        "gif_ping_pong": False,
        "guidance_scale": 7.5,
        "height": 512,
        "intermediate_output": True,
        "num_animation_frames": "25",
        "num_inference_steps": 50,
        "num_interpolation_steps": "5",
        "output_format": "gif",
        "prompt_end": "A picture of an apple",
        "prompt_start": "A picture of a bear",
        "prompt_strength": 0.75,
        "width": "768"
    }
)

# The andreasjansson/stable-diffusion-animation model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/andreasjansson/stable-diffusion-animation/api#output-schema
    print(item)

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_Yvi**********************************

This is your API token. Keep it to yourself.

Run andreasjansson/stable-diffusion-animation 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": "andreasjansson/stable-diffusion-animation:ca1f5e306e5721e19c473e0d094e6603f0456fe759c10715fcd6c1b79242d4a5",
    "input": {
      "film_interpolation": true,
      "gif_frames_per_second": "50",
      "gif_ping_pong": false,
      "guidance_scale": 7.5,
      "height": 512,
      "intermediate_output": true,
      "num_animation_frames": "25",
      "num_inference_steps": 50,
      "num_interpolation_steps": "5",
      "output_format": "gif",
      "prompt_end": "A picture of an apple",
      "prompt_start": "A picture of a bear",
      "prompt_strength": 0.75,
      "width": "768"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

26 / 26

{
  "id": "uzj2czjjzradtjcrzet6yfqdkq",
  "model": "andreasjansson/stable-diffusion-animation",
  "version": "ca1f5e306e5721e19c473e0d094e6603f0456fe759c10715fcd6c1b79242d4a5",
  "input": {
    "film_interpolation": true,
    "gif_frames_per_second": "50",
    "gif_ping_pong": false,
    "guidance_scale": 7.5,
    "height": 512,
    "intermediate_output": true,
    "num_animation_frames": "25",
    "num_inference_steps": 50,
    "num_interpolation_steps": "5",
    "output_format": "gif",
    "prompt_end": "A picture of an apple",
    "prompt_start": "A picture of a bear",
    "prompt_strength": 0.75,
    "width": "768"
  },
  "logs": "Using seed: 21594\nGenerating initial latents for 12 steps\nGenerating first and last keyframes\nGenerating frame 0 of keyframe 0\nGenerating frame 1 of keyframe 0\nGenerating frame 2 of keyframe 0\nGenerating frame 3 of keyframe 0\nGenerating frame 4 of keyframe 0\nGenerating frame 5 of keyframe 0\nGenerating frame 6 of keyframe 0\nGenerating frame 7 of keyframe 0\nGenerating frame 8 of keyframe 0\nGenerating frame 9 of keyframe 0\nGenerating frame 10 of keyframe 0\nGenerating frame 11 of keyframe 0\nGenerating frame 12 of keyframe 0\nGenerating frame 13 of keyframe 0\nGenerating frame 14 of keyframe 0\nGenerating frame 15 of keyframe 0\nGenerating frame 16 of keyframe 0\nGenerating frame 17 of keyframe 0\nGenerating frame 18 of keyframe 0\nGenerating frame 19 of keyframe 0\nGenerating frame 20 of keyframe 0\nGenerating frame 21 of keyframe 0\nGenerating frame 22 of keyframe 0\nGenerating frame 23 of keyframe 0\nGenerating frame 24 of keyframe 0\nInterpolating images with FILM\nSaving GIF",
  "output": [
    "https://replicate.delivery/pbxt/J7P4yIWhF6LRBVd0Eofj2raMIUKhH8QQH6V33CmhCWahAmJIA/output-0.png",
    "https://replicate.delivery/pbxt/A2iyNCTkED4dCxwWQmHG2D7EfHf7RJYirQ09vqe2RD5XCYmgA/output-1.png",
    "https://replicate.delivery/pbxt/e2whGe6qfAVz1phwps4wf5jfS5fzah00TyfwfLa4HilJQBMTQA/output-2.png",
    "https://replicate.delivery/pbxt/ZiFZ8i23Dez1F6Pr73eMxeKzaE5lXzy4ZIU3vkV7K7rqCYmgA/output-3.png",
    "https://replicate.delivery/pbxt/aJ3UNELCxOIYJlgh3ZCe4X2bZhFxpMQBsSleNdemFhIyCYmgA/output-4.png",
    "https://replicate.delivery/pbxt/wflidu1jTMTdWyeE8jC9CvnmwQELnpI1TSuVKWnfwbo8CYmgA/output-5.png",
    "https://replicate.delivery/pbxt/oauW54207vJkBhbPPOmSngLmTA6Kl5fIR4KWpbvauRKxAmJIA/output-6.png",
    "https://replicate.delivery/pbxt/yTGwaRptvZYaJRDbRZBuO598pl5UabV7R3xFWcTNNP5ZAzEE/output-7.png",
    "https://replicate.delivery/pbxt/tSLscok3yVqBK1UC2fqnnTmlzFKwwpZFY6iDqi9ndmC2AmJIA/output-8.png",
    "https://replicate.delivery/pbxt/we4lnpTPnF24PyhwUncb1pTQJ4MrMUvB0I4PrJi0NVx4AmJIA/output-9.png",
    "https://replicate.delivery/pbxt/xooyuv5AV6aoM5iqynnayhQVZeDMVx5xVnXdMDVZ1sh6AmJIA/output-10.png",
    "https://replicate.delivery/pbxt/mtnpgv3MCgZRPtIYrQAQ0fM2AvWVpvMA5qGec78yif00DYmgA/output-11.png",
    "https://replicate.delivery/pbxt/fN1HfcxdotkW00ydPmlKATGdhzf16aFkCR796Qv6SMteHwMBB/output-12.png",
    "https://replicate.delivery/pbxt/qcTzStGiJioFBtCQ8fxoif7y1CyE88neJy2ZIUeOrvrRIwMBB/output-13.png",
    "https://replicate.delivery/pbxt/0hmV2qIZpn6DBhW4kujpuIsZr3zyS0lEHuC02sTa0vNiAzEE/output-14.png",
    "https://replicate.delivery/pbxt/gB87DTnuWKqIIt7if2oH0JHK8IjPbScSIPfoLNfG5zHbEYmgA/output-15.png",
    "https://replicate.delivery/pbxt/tiLPbepdfeG7Qp110ecWsEQSLewKwOmcaOEfLivwbCVukAzEE/output-16.png",
    "https://replicate.delivery/pbxt/ZF27tmuP8NLJFBAkbPHgZDs1iExTGo5ELkz66JDaIh8lAzEE/output-17.png",
    "https://replicate.delivery/pbxt/qckmpmB45QrKMN54QevVhvTa1NeZsyhXeND94mj1LA63EYmgA/output-18.png",
    "https://replicate.delivery/pbxt/so8bPUneOfr8E0YAIPagGBAL4SmBwU21RKW71kzCTNAgCMTQA/output-19.png",
    "https://replicate.delivery/pbxt/WJQE9spf8ZXUAytoMfZRmajn4eXHu73KT1GMxKMBf2rWKwMBB/output-20.png",
    "https://replicate.delivery/pbxt/RKQQuudaapZvL1SwmdDDuYoDIPHFe5EgOcYqH9amSK8UBmJIA/output-21.png",
    "https://replicate.delivery/pbxt/O46rfqb4qyRNVqutB4SeiM4TIJQD73Zc6F9DZWJ6oWFuCMTQA/output-22.png",
    "https://replicate.delivery/pbxt/o2W4Z1apYwYmDNSkJQFcJMyT62iAbPIFhetdjoAelW5zCMTQA/output-23.png",
    "https://replicate.delivery/pbxt/K0N9HQY8WjL6E1nW1nbwqyWQYs1LIVHVfcuXtZ4QYeQ4CMTQA/output-24.png",
    "https://replicate.delivery/pbxt/fglMUBeFQmuhN00kQVJdTcwrqvNoBSXse2rXVXmD2qOhHYmgA/video.gif"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-01-11T19:30:00.337234Z",
  "started_at": "2023-01-11T19:30:00.375962Z",
  "completed_at": "2023-01-11T19:33:05.448823Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/uzj2czjjzradtjcrzet6yfqdkq/cancel",
    "get": "https://api.replicate.com/v1/predictions/uzj2czjjzradtjcrzet6yfqdkq"
  },
  "metrics": {
    "predict_time": 185.072861,
    "total_time": 185.111589
  }
}

Generated in

3 minutes 5 seconds

Tweak it Report