Prediction

Model

shimmercam/animatediff-v3:dd87e0a6

pf4uuybbagzq4z7w5p6tkec2ge

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

3m 33s

Created

almost 2 years ago

Webhook

–

Input

prompt: husky running in the snow
negative_prompt: worst quality, low quality, letterboxed
dreambooth_model: None
steps: 25
guidance: 8.5
length: 16
seed: -1

{
  "dreambooth_model": "None",
  "guidance": 8.5,
  "length": 16,
  "negative_prompt": "worst quality, low quality, letterboxed",
  "prompt": "husky running in the snow",
  "seed": -1,
  "steps": 25
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_1W7**********************************

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 shimmercam/animatediff-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "shimmercam/animatediff-v3:dd87e0a6eed441ad5944d9b10a2020245889b6b85fe97bd9abeb76334d2c95ec",
  {
    input: {
      dreambooth_model: "None",
      guidance: 8.5,
      length: 16,
      negative_prompt: "worst quality, low quality, letterboxed",
      prompt: "husky running in the snow",
      seed: -1,
      steps: 25
    }
  }
);

// 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_1W7**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run shimmercam/animatediff-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "shimmercam/animatediff-v3:dd87e0a6eed441ad5944d9b10a2020245889b6b85fe97bd9abeb76334d2c95ec",
    input={
        "dreambooth_model": "None",
        "guidance": 8.5,
        "length": 16,
        "negative_prompt": "worst quality, low quality, letterboxed",
        "prompt": "husky running in the snow",
        "seed": -1,
        "steps": 25
    }
)

# 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_1W7**********************************

This is your API token. Keep it to yourself.

Run shimmercam/animatediff-v3 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": "shimmercam/animatediff-v3:dd87e0a6eed441ad5944d9b10a2020245889b6b85fe97bd9abeb76334d2c95ec",
    "input": {
      "dreambooth_model": "None",
      "guidance": 8.5,
      "length": 16,
      "negative_prompt": "worst quality, low quality, letterboxed",
      "prompt": "husky running in the snow",
      "seed": -1,
      "steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "pf4uuybbagzq4z7w5p6tkec2ge",
  "model": "shimmercam/animatediff-v3",
  "version": "dd87e0a6eed441ad5944d9b10a2020245889b6b85fe97bd9abeb76334d2c95ec",
  "input": {
    "dreambooth_model": "None",
    "guidance": 8.5,
    "length": 16,
    "negative_prompt": "worst quality, low quality, letterboxed",
    "prompt": "husky running in the snow",
    "seed": -1,
    "steps": 25
  },
  "logs": "loading controlnet checkpoint from /AnimateDiff/models/SparseCtrl/v3_sd15_sparsectrl_rgb.ckpt ...\nload motion module from /AnimateDiff/models/Motion_Module/v3_sd15_mm.ckpt\nload domain lora from /AnimateDiff/models/Motion_Module/v3_sd15_adapter.ckpt\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:02<00:49,  2.07s/it]\n  8%|▊         | 2/25 [00:03<00:40,  1.78s/it]\n 12%|█▏        | 3/25 [00:05<00:37,  1.68s/it]\n 16%|█▌        | 4/25 [00:06<00:34,  1.64s/it]\n 20%|██        | 5/25 [00:08<00:32,  1.61s/it]\n 24%|██▍       | 6/25 [00:09<00:30,  1.60s/it]\n 28%|██▊       | 7/25 [00:11<00:28,  1.59s/it]\n 32%|███▏      | 8/25 [00:13<00:26,  1.58s/it]\n 36%|███▌      | 9/25 [00:14<00:25,  1.58s/it]\n 40%|████      | 10/25 [00:16<00:23,  1.58s/it]\n 44%|████▍     | 11/25 [00:17<00:22,  1.58s/it]\n 48%|████▊     | 12/25 [00:19<00:20,  1.57s/it]\n 52%|█████▏    | 13/25 [00:20<00:18,  1.57s/it]\n 56%|█████▌    | 14/25 [00:22<00:17,  1.57s/it]\n 60%|██████    | 15/25 [00:24<00:15,  1.57s/it]\n 64%|██████▍   | 16/25 [00:25<00:14,  1.57s/it]\n 68%|██████▊   | 17/25 [00:27<00:12,  1.57s/it]\n 72%|███████▏  | 18/25 [00:28<00:11,  1.57s/it]\n 76%|███████▌  | 19/25 [00:30<00:09,  1.57s/it]\n 80%|████████  | 20/25 [00:31<00:07,  1.57s/it]\n 84%|████████▍ | 21/25 [00:33<00:06,  1.57s/it]\n 88%|████████▊ | 22/25 [00:35<00:04,  1.57s/it]\n 92%|█████████▏| 23/25 [00:36<00:03,  1.57s/it]\n 96%|█████████▌| 24/25 [00:38<00:01,  1.57s/it]\n100%|██████████| 25/25 [00:39<00:00,  1.57s/it]\n100%|██████████| 25/25 [00:39<00:00,  1.59s/it]\n  0%|          | 0/16 [00:00<?, ?it/s]\n 31%|███▏      | 5/16 [00:00<00:00, 44.00it/s]\n 62%|██████▎   | 10/16 [00:00<00:00, 23.75it/s]\n 81%|████████▏ | 13/16 [00:00<00:00, 21.43it/s]\n100%|██████████| 16/16 [00:00<00:00, 20.17it/s]\n100%|██████████| 16/16 [00:00<00:00, 22.03it/s]",
  "output": "https://replicate.delivery/pbxt/NPJe0gaetTmb1Ee6rebJ6fFjnFfgAh1dCjp9UySp3UNOaBvgE/output.gif",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-12-16T20:54:44.46854Z",
  "started_at": "2023-12-16T20:57:25.80951Z",
  "completed_at": "2023-12-16T20:58:17.238586Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/pf4uuybbagzq4z7w5p6tkec2ge/cancel",
    "get": "https://api.replicate.com/v1/predictions/pf4uuybbagzq4z7w5p6tkec2ge"
  },
  "metrics": {
    "predict_time": 51.429076,
    "total_time": 212.770046
  }
}

Generated in

51.4 seconds

Tweak it Report

loading controlnet checkpoint from /AnimateDiff/models/SparseCtrl/v3_sd15_sparsectrl_rgb.ckpt ... load motion module from /AnimateDiff/models/Motion_Module/v3_sd15_mm.ckpt load domain lora from /AnimateDiff/models/Motion_Module/v3_sd15_adapter.ckpt 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:02<00:49, 2.07s/it] 8%|▊ | 2/25 [00:03<00:40, 1.78s/it] 12%|█▏ | 3/25 [00:05<00:37, 1.68s/it] 16%|█▌ | 4/25 [00:06<00:34, 1.64s/it] 20%|██ | 5/25 [00:08<00:32, 1.61s/it] 24%|██▍ | 6/25 [00:09<00:30, 1.60s/it] 28%|██▊ | 7/25 [00:11<00:28, 1.59s/it] 32%|███▏ | 8/25 [00:13<00:26, 1.58s/it] 36%|███▌ | 9/25 [00:14<00:25, 1.58s/it] 40%|████ | 10/25 [00:16<00:23, 1.58s/it] 44%|████▍ | 11/25 [00:17<00:22, 1.58s/it] 48%|████▊ | 12/25 [00:19<00:20, 1.57s/it] 52%|█████▏ | 13/25 [00:20<00:18, 1.57s/it] 56%|█████▌ | 14/25 [00:22<00:17, 1.57s/it] 60%|██████ | 15/25 [00:24<00:15, 1.57s/it] 64%|██████▍ | 16/25 [00:25<00:14, 1.57s/it] 68%|██████▊ | 17/25 [00:27<00:12, 1.57s/it] 72%|███████▏ | 18/25 [00:28<00:11, 1.57s/it] 76%|███████▌ | 19/25 [00:30<00:09, 1.57s/it] 80%|████████ | 20/25 [00:31<00:07, 1.57s/it] 84%|████████▍ | 21/25 [00:33<00:06, 1.57s/it] 88%|████████▊ | 22/25 [00:35<00:04, 1.57s/it] 92%|█████████▏| 23/25 [00:36<00:03, 1.57s/it] 96%|█████████▌| 24/25 [00:38<00:01, 1.57s/it] 100%|██████████| 25/25 [00:39<00:00, 1.57s/it] 100%|██████████| 25/25 [00:39<00:00, 1.59s/it] 0%| | 0/16 [00:00<?, ?it/s] 31%|███▏ | 5/16 [00:00<00:00, 44.00it/s] 62%|██████▎ | 10/16 [00:00<00:00, 23.75it/s] 81%|████████▏ | 13/16 [00:00<00:00, 21.43it/s] 100%|██████████| 16/16 [00:00<00:00, 20.17it/s] 100%|██████████| 16/16 [00:00<00:00, 22.03it/s]