piyushk52/ad_3_img_smooth – Run with an API on Replicate

piyushk52 / ad_3_img_smooth

Cold

Public
585 runs
A100 (80GB)

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt_travel

string

Shift + Return to add a new line

Prompt travel

Default: "0_:16_:24_"

negative_prompt

string

Shift + Return to add a new line

Negative Prompt

Default: "(worst quality, low quality:1.2)"

image_dimension

string

Select image dimenstions

Default: "512x512"

img_1

*file

Preview

Image 1

img_2

*file

Preview

Image 2

img_3

*file

Preview

Image 3

motion_module

string

Select a Motion Model

Default: "mm_sd_v14.ckpt"

model

string

Select a Module

Default: "Counterfeit-V3.0_fp32.safetensors"

img_1_latent_cn_weights

string

Shift + Return to add a new line

0=1.00,1=0.82,2=0.74,3=0.56,4=0.47,5=0.41,6=0.38,7=0.33,8=0.30,9=0.28,10=0.25,11=0.24,12=0.20,13=0.17,14=0.15,15=0.13,16=0.13,17=0.11,18=0.11,19=0.11,20=0.11,21=0.11,22=0.10,23=0.09,24=0.06,25=0.04,26=0.03,27=0.01,28=0.00,29=0.00,30=0.00,31=0.00,32=0.00,33=0.00,34=0.00,35=0.00,36=0.00,37=0.00,38=0.00,39=0.00,40=0.00,41=0.00,42=0.00,43=0.00,44=0.00,45=0.00,46=0.00,47=0.000=1.00,1=0.82,2=0.74,3=0.56,4=0.47,5=0.41,6=0.38,7=0.33,8=0.30,9=0.28,10=0.25,11=0.24,12=0.20,13=0.17,14=0.15,15=0.13,16=0.13,17=0.11,18=0.11,19=0.11,20=0.11,21=0.11,22=0.10,23=0.09,24=0.06,25=0.04,26=0.03,27=0.01,28=0.00,29=0.00,30=0.00,31=0.00,32=0.00,33=0.00,34=0.00,35=0.00,36=0.00,37=0.00,38=0.00,39=0.00,40=0.00,41=0.00,42=0.00,43=0.00,44=0.00,45=0.00,46=0.00,47=0.00

weights for how cn will affect the latents

Default: "0=1.00,1=0.82,2=0.74,3=0.56,4=0.47,5=0.41,6=0.38,7=0.33,8=0.30,9=0.28,10=0.25,11=0.24,12=0.20,13=0.17,14=0.15,15=0.13,16=0.13,17=0.11,18=0.11,19=0.11,20=0.11,21=0.11,22=0.10,23=0.09,24=0.06,25=0.04,26=0.03,27=0.01,28=0.00,29=0.00,30=0.00,31=0.00,32=0.00,33=0.00,34=0.00,35=0.00,36=0.00,37=0.00,38=0.00,39=0.00,40=0.00,41=0.00,42=0.00,43=0.00,44=0.00,45=0.00,46=0.00,47=0.00"

img_2_latent_cn_weights

string

Shift + Return to add a new line

0=0.09,1=0.10,2=0.11,3=0.11,4=0.11,5=0.11,6=0.11,7=0.13,8=0.13,9=0.15,10=0.17,11=0.20,12=0.24,13=0.25,14=0.28,15=0.30,16=0.33,17=0.38,18=0.41,19=0.47,20=0.56,21=0.74,22=0.82,23=1.00,24=1.00,25=0.82,26=0.74,27=0.56,28=0.47,29=0.41,30=0.38,31=0.33,32=0.30,33=0.28,34=0.25,35=0.24,36=0.20,37=0.17,38=0.15,39=0.13,40=0.13,41=0.11,42=0.11,43=0.11,44=0.11,45=0.11,46=0.10,47=0.09

0=0.09,1=0.10,2=0.11,3=0.11,4=0.11,5=0.11,6=0.11,7=0.13,8=0.13,9=0.15,10=0.17,11=0.20,12=0.24,13=0.25,14=0.28,15=0.30,16=0.33,17=0.38,18=0.41,19=0.47,20=0.56,21=0.74,22=0.82,23=1.00,24=1.00,25=0.82,26=0.74,27=0.56,28=0.47,29=0.41,30=0.38,31=0.33,32=0.30,33=0.28,34=0.25,35=0.24,36=0.20,37=0.17,38=0.15,39=0.13,40=0.13,41=0.11,42=0.11,43=0.11,44=0.11,45=0.11,46=0.10,47=0.09

weights for how cn will affect the latents

Default: "0=0.09,1=0.10,2=0.11,3=0.11,4=0.11,5=0.11,6=0.11,7=0.13,8=0.13,9=0.15,10=0.17,11=0.20,12=0.24,13=0.25,14=0.28,15=0.30,16=0.33,17=0.38,18=0.41,19=0.47,20=0.56,21=0.74,22=0.82,23=1.00,24=1.00,25=0.82,26=0.74,27=0.56,28=0.47,29=0.41,30=0.38,31=0.33,32=0.30,33=0.28,34=0.25,35=0.24,36=0.20,37=0.17,38=0.15,39=0.13,40=0.13,41=0.11,42=0.11,43=0.11,44=0.11,45=0.11,46=0.10,47=0.09\n\n\n\n"

img_3_latent_cn_weights

string

Shift + Return to add a new line

0=0.00,1=0.00,2=0.00,3=0.00,4=0.00,5=0.00,6=0.00,7=0.00,8=0.00,9=0.00,10=0.00,11=0.00,12=0.00,13=0.00,14=0.00,15=0.00,16=0.00,17=0.00,18=0.00,19=0.00,20=0.01,21=0.03,22=0.04,23=0.06,24=0.09,25=0.10,26=0.11,27=0.11,28=0.11,29=0.11,30=0.11,31=0.13,32=0.13,33=0.15,34=0.17,35=0.20,36=0.24,37=0.25,38=0.28,39=0.30,40=0.33,41=0.38,42=0.41,43=0.47,44=0.56,45=0.74,46=0.82,47=1.000=0.00,1=0.00,2=0.00,3=0.00,4=0.00,5=0.00,6=0.00,7=0.00,8=0.00,9=0.00,10=0.00,11=0.00,12=0.00,13=0.00,14=0.00,15=0.00,16=0.00,17=0.00,18=0.00,19=0.00,20=0.01,21=0.03,22=0.04,23=0.06,24=0.09,25=0.10,26=0.11,27=0.11,28=0.11,29=0.11,30=0.11,31=0.13,32=0.13,33=0.15,34=0.17,35=0.20,36=0.24,37=0.25,38=0.28,39=0.30,40=0.33,41=0.38,42=0.41,43=0.47,44=0.56,45=0.74,46=0.82,47=1.00

weights for how cn will affect the latents

Default: "0=0.00,1=0.00,2=0.00,3=0.00,4=0.00,5=0.00,6=0.00,7=0.00,8=0.00,9=0.00,10=0.00,11=0.00,12=0.00,13=0.00,14=0.00,15=0.00,16=0.00,17=0.00,18=0.00,19=0.00,20=0.01,21=0.03,22=0.04,23=0.06,24=0.09,25=0.10,26=0.11,27=0.11,28=0.11,29=0.11,30=0.11,31=0.13,32=0.13,33=0.15,34=0.17,35=0.20,36=0.24,37=0.25,38=0.28,39=0.30,40=0.33,41=0.38,42=0.41,43=0.47,44=0.56,45=0.74,46=0.82,47=1.00"

ip_adapter_weight

number

IPAdapter weight

Default: 0.4

ip_adapter_noise

number

IPAdapter noise

Default: 0.5

output_format

string

Output format

Default: "video/h264-mp4"

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

npx create-replicate --model=piyushk52/ad_3_img_smooth

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";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run piyushk52/ad_3_img_smooth using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "piyushk52/ad_3_img_smooth:de97580a694b9445ca578c8068a098d880908ab73eea7d84a2dbab2714dc712f",
  {
    input: {
      img_1: "https://replicate.delivery/pbxt/JkHteigRFkYqO2b7JypG8g56PkwHjtifhkS2zR0lyTQtelh7/im_1.png",
      img_2: "https://replicate.delivery/pbxt/JkHteN5mSndwxe8HlpMD7ClIvYwgBuCk2daBQObhN0MmHant/im_2.png",
      img_3: "https://replicate.delivery/pbxt/JkHteIRBlCUNYitb3TWNK840ZNSMojIhwk8sAyVIjPm0ZzSB/im_3.png",
      model: "Realistic_Vision_V5.0.safetensors",
      motion_module: "mm_sd_v14.ckpt",
      output_format: "image/gif",
      prompt_travel: "0_:16_:24_",
      image_dimension: "512x512",
      negative_prompt: "(worst quality, low quality:1.2)",
      ip_adapter_noise: 0.5,
      ip_adapter_weight: 0.4,
      img_1_latent_cn_weights: "0=1.00,1=0.82,2=0.74,3=0.56,4=0.47,5=0.41,6=0.38,7=0.33,8=0.30,9=0.28,10=0.25,11=0.24,12=0.20,13=0.17,14=0.15,15=0.13,16=0.13,17=0.11,18=0.11,19=0.11,20=0.11,21=0.11,22=0.10,23=0.09,24=0.06,25=0.04,26=0.03,27=0.01,28=0.00,29=0.00,30=0.00,31=0.00,32=0.00,33=0.00,34=0.00,35=0.00,36=0.00,37=0.00,38=0.00,39=0.00,40=0.00,41=0.00,42=0.00,43=0.00,44=0.00,45=0.00,46=0.00,47=0.00",
      img_2_latent_cn_weights: "0=0.09,1=0.10,2=0.11,3=0.11,4=0.11,5=0.11,6=0.11,7=0.13,8=0.13,9=0.15,10=0.17,11=0.20,12=0.24,13=0.25,14=0.28,15=0.30,16=0.33,17=0.38,18=0.41,19=0.47,20=0.56,21=0.74,22=0.82,23=1.00,24=1.00,25=0.82,26=0.74,27=0.56,28=0.47,29=0.41,30=0.38,31=0.33,32=0.30,33=0.28,34=0.25,35=0.24,36=0.20,37=0.17,38=0.15,39=0.13,40=0.13,41=0.11,42=0.11,43=0.11,44=0.11,45=0.11,46=0.10,47=0.09\n\n\n\n",
      img_3_latent_cn_weights: "0=0.00,1=0.00,2=0.00,3=0.00,4=0.00,5=0.00,6=0.00,7=0.00,8=0.00,9=0.00,10=0.00,11=0.00,12=0.00,13=0.00,14=0.00,15=0.00,16=0.00,17=0.00,18=0.00,19=0.00,20=0.01,21=0.03,22=0.04,23=0.06,24=0.09,25=0.10,26=0.11,27=0.11,28=0.11,29=0.11,30=0.11,31=0.13,32=0.13,33=0.15,34=0.17,35=0.20,36=0.24,37=0.25,38=0.28,39=0.30,40=0.33,41=0.38,42=0.41,43=0.47,44=0.56,45=0.74,46=0.82,47=1.00"
    }
  }
);

// 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 piyushk52/ad_3_img_smooth using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "piyushk52/ad_3_img_smooth:de97580a694b9445ca578c8068a098d880908ab73eea7d84a2dbab2714dc712f",
    input={
        "img_1": "https://replicate.delivery/pbxt/JkHteigRFkYqO2b7JypG8g56PkwHjtifhkS2zR0lyTQtelh7/im_1.png",
        "img_2": "https://replicate.delivery/pbxt/JkHteN5mSndwxe8HlpMD7ClIvYwgBuCk2daBQObhN0MmHant/im_2.png",
        "img_3": "https://replicate.delivery/pbxt/JkHteIRBlCUNYitb3TWNK840ZNSMojIhwk8sAyVIjPm0ZzSB/im_3.png",
        "model": "Realistic_Vision_V5.0.safetensors",
        "motion_module": "mm_sd_v14.ckpt",
        "output_format": "image/gif",
        "prompt_travel": "0_:16_:24_",
        "image_dimension": "512x512",
        "negative_prompt": "(worst quality, low quality:1.2)",
        "ip_adapter_noise": 0.5,
        "ip_adapter_weight": 0.4,
        "img_1_latent_cn_weights": "0=1.00,1=0.82,2=0.74,3=0.56,4=0.47,5=0.41,6=0.38,7=0.33,8=0.30,9=0.28,10=0.25,11=0.24,12=0.20,13=0.17,14=0.15,15=0.13,16=0.13,17=0.11,18=0.11,19=0.11,20=0.11,21=0.11,22=0.10,23=0.09,24=0.06,25=0.04,26=0.03,27=0.01,28=0.00,29=0.00,30=0.00,31=0.00,32=0.00,33=0.00,34=0.00,35=0.00,36=0.00,37=0.00,38=0.00,39=0.00,40=0.00,41=0.00,42=0.00,43=0.00,44=0.00,45=0.00,46=0.00,47=0.00",
        "img_2_latent_cn_weights": "0=0.09,1=0.10,2=0.11,3=0.11,4=0.11,5=0.11,6=0.11,7=0.13,8=0.13,9=0.15,10=0.17,11=0.20,12=0.24,13=0.25,14=0.28,15=0.30,16=0.33,17=0.38,18=0.41,19=0.47,20=0.56,21=0.74,22=0.82,23=1.00,24=1.00,25=0.82,26=0.74,27=0.56,28=0.47,29=0.41,30=0.38,31=0.33,32=0.30,33=0.28,34=0.25,35=0.24,36=0.20,37=0.17,38=0.15,39=0.13,40=0.13,41=0.11,42=0.11,43=0.11,44=0.11,45=0.11,46=0.10,47=0.09\n\n\n\n",
        "img_3_latent_cn_weights": "0=0.00,1=0.00,2=0.00,3=0.00,4=0.00,5=0.00,6=0.00,7=0.00,8=0.00,9=0.00,10=0.00,11=0.00,12=0.00,13=0.00,14=0.00,15=0.00,16=0.00,17=0.00,18=0.00,19=0.00,20=0.01,21=0.03,22=0.04,23=0.06,24=0.09,25=0.10,26=0.11,27=0.11,28=0.11,29=0.11,30=0.11,31=0.13,32=0.13,33=0.15,34=0.17,35=0.20,36=0.24,37=0.25,38=0.28,39=0.30,40=0.33,41=0.38,42=0.41,43=0.47,44=0.56,45=0.74,46=0.82,47=1.00"
    }
)
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 piyushk52/ad_3_img_smooth 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": "piyushk52/ad_3_img_smooth:de97580a694b9445ca578c8068a098d880908ab73eea7d84a2dbab2714dc712f",
    "input": {
      "img_1": "https://replicate.delivery/pbxt/JkHteigRFkYqO2b7JypG8g56PkwHjtifhkS2zR0lyTQtelh7/im_1.png",
      "img_2": "https://replicate.delivery/pbxt/JkHteN5mSndwxe8HlpMD7ClIvYwgBuCk2daBQObhN0MmHant/im_2.png",
      "img_3": "https://replicate.delivery/pbxt/JkHteIRBlCUNYitb3TWNK840ZNSMojIhwk8sAyVIjPm0ZzSB/im_3.png",
      "model": "Realistic_Vision_V5.0.safetensors",
      "motion_module": "mm_sd_v14.ckpt",
      "output_format": "image/gif",
      "prompt_travel": "0_:16_:24_",
      "image_dimension": "512x512",
      "negative_prompt": "(worst quality, low quality:1.2)",
      "ip_adapter_noise": 0.5,
      "ip_adapter_weight": 0.4,
      "img_1_latent_cn_weights": "0=1.00,1=0.82,2=0.74,3=0.56,4=0.47,5=0.41,6=0.38,7=0.33,8=0.30,9=0.28,10=0.25,11=0.24,12=0.20,13=0.17,14=0.15,15=0.13,16=0.13,17=0.11,18=0.11,19=0.11,20=0.11,21=0.11,22=0.10,23=0.09,24=0.06,25=0.04,26=0.03,27=0.01,28=0.00,29=0.00,30=0.00,31=0.00,32=0.00,33=0.00,34=0.00,35=0.00,36=0.00,37=0.00,38=0.00,39=0.00,40=0.00,41=0.00,42=0.00,43=0.00,44=0.00,45=0.00,46=0.00,47=0.00",
      "img_2_latent_cn_weights": "0=0.09,1=0.10,2=0.11,3=0.11,4=0.11,5=0.11,6=0.11,7=0.13,8=0.13,9=0.15,10=0.17,11=0.20,12=0.24,13=0.25,14=0.28,15=0.30,16=0.33,17=0.38,18=0.41,19=0.47,20=0.56,21=0.74,22=0.82,23=1.00,24=1.00,25=0.82,26=0.74,27=0.56,28=0.47,29=0.41,30=0.38,31=0.33,32=0.30,33=0.28,34=0.25,35=0.24,36=0.20,37=0.17,38=0.15,39=0.13,40=0.13,41=0.11,42=0.11,43=0.11,44=0.11,45=0.11,46=0.10,47=0.09\\n\\n\\n\\n",
      "img_3_latent_cn_weights": "0=0.00,1=0.00,2=0.00,3=0.00,4=0.00,5=0.00,6=0.00,7=0.00,8=0.00,9=0.00,10=0.00,11=0.00,12=0.00,13=0.00,14=0.00,15=0.00,16=0.00,17=0.00,18=0.00,19=0.00,20=0.01,21=0.03,22=0.04,23=0.06,24=0.09,25=0.10,26=0.11,27=0.11,28=0.11,29=0.11,30=0.11,31=0.13,32=0.13,33=0.15,34=0.17,35=0.20,36=0.24,37=0.25,38=0.28,39=0.30,40=0.33,41=0.38,42=0.41,43=0.47,44=0.56,45=0.74,46=0.82,47=1.00"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-10-23T20:28:15.227838Z",
  "created_at": "2023-10-23T20:21:24.377103Z",
  "data_removed": false,
  "error": null,
  "id": "cykay5lbx7owjfmry4lwzwrw6q",
  "input": {
    "img_1": "https://replicate.delivery/pbxt/JkHteigRFkYqO2b7JypG8g56PkwHjtifhkS2zR0lyTQtelh7/im_1.png",
    "img_2": "https://replicate.delivery/pbxt/JkHteN5mSndwxe8HlpMD7ClIvYwgBuCk2daBQObhN0MmHant/im_2.png",
    "img_3": "https://replicate.delivery/pbxt/JkHteIRBlCUNYitb3TWNK840ZNSMojIhwk8sAyVIjPm0ZzSB/im_3.png",
    "model": "Realistic_Vision_V5.0.safetensors",
    "motion_module": "mm_sd_v14.ckpt",
    "output_format": "image/gif",
    "prompt_travel": "0_:16_:24_",
    "image_dimension": "512x512",
    "negative_prompt": "(worst quality, low quality:1.2)",
    "ip_adapter_noise": 0.5,
    "ip_adapter_weight": 0.4,
    "img_1_latent_cn_weights": "0=1.00,1=0.82,2=0.74,3=0.56,4=0.47,5=0.41,6=0.38,7=0.33,8=0.30,9=0.28,10=0.25,11=0.24,12=0.20,13=0.17,14=0.15,15=0.13,16=0.13,17=0.11,18=0.11,19=0.11,20=0.11,21=0.11,22=0.10,23=0.09,24=0.06,25=0.04,26=0.03,27=0.01,28=0.00,29=0.00,30=0.00,31=0.00,32=0.00,33=0.00,34=0.00,35=0.00,36=0.00,37=0.00,38=0.00,39=0.00,40=0.00,41=0.00,42=0.00,43=0.00,44=0.00,45=0.00,46=0.00,47=0.00",
    "img_2_latent_cn_weights": "0=0.09,1=0.10,2=0.11,3=0.11,4=0.11,5=0.11,6=0.11,7=0.13,8=0.13,9=0.15,10=0.17,11=0.20,12=0.24,13=0.25,14=0.28,15=0.30,16=0.33,17=0.38,18=0.41,19=0.47,20=0.56,21=0.74,22=0.82,23=1.00,24=1.00,25=0.82,26=0.74,27=0.56,28=0.47,29=0.41,30=0.38,31=0.33,32=0.30,33=0.28,34=0.25,35=0.24,36=0.20,37=0.17,38=0.15,39=0.13,40=0.13,41=0.11,42=0.11,43=0.11,44=0.11,45=0.11,46=0.10,47=0.09\n\n\n\n",
    "img_3_latent_cn_weights": "0=0.00,1=0.00,2=0.00,3=0.00,4=0.00,5=0.00,6=0.00,7=0.00,8=0.00,9=0.00,10=0.00,11=0.00,12=0.00,13=0.00,14=0.00,15=0.00,16=0.00,17=0.00,18=0.00,19=0.00,20=0.01,21=0.03,22=0.04,23=0.06,24=0.09,25=0.10,26=0.11,27=0.11,28=0.11,29=0.11,30=0.11,31=0.13,32=0.13,33=0.15,34=0.17,35=0.20,36=0.24,37=0.25,38=0.28,39=0.30,40=0.33,41=0.38,42=0.41,43=0.47,44=0.56,45=0.74,46=0.82,47=1.00"
  },
  "logs": "final res:  ['tmpq1hrz9k9im_1.png', 'tmpuum0h8kyim_2.png', 'tmp7n6fb1tfim_3.png']\ngot prompt\n/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\nreturn self.fget.__get__(instance, owner)()\nRequested to load SD1ClipModel\nLoading 1 new model\n----------------------------------------\n\u001b[36mEfficient Loader Models Cache:\u001b[0m\nCkpt:\n[1] Realistic_Vision_V5.0\nRequested to load CLIPVisionModelWithProjection\nLoading 1 new model\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Loading motion module mm_sd_v14.ckpt\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Using fp16, converting motion module to fp16\nfinal animation_prompt:  {'0': '', '16': '', '24': ''}\n/src/ComfyUI/custom_nodes/ComfyUI_FizzNodes/BatchFuncs.py:88: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\ncur_prompt_series[f] = ''\n/src/ComfyUI/custom_nodes/ComfyUI_FizzNodes/BatchFuncs.py:89: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\nnxt_prompt_series[f] = ''\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n120\n[Advanced-ControlNet] - \u001b[0;32mINFO\u001b[0m - keyframe 10:0.25\n[Advanced-ControlNet] - \u001b[0;32mINFO\u001b[0m - keyframe 37:0.0\n[Advanced-ControlNet] - \u001b[0;32mINFO\u001b[0m - keyframe 24:0.06\n[Advanced-ControlNet] - \u001b[0;32mINFO\u001b[0m - keyframe 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context_length 16.\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Injecting motion module mm_sd_v14.ckpt version v1.\nRequested to load BaseModel\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nLoading 4 new models\n  0%|          | 0/15 [00:00<?, ?it/s]\n  7%|▌         | 1/15 [00:07<01:43,  7.42s/it]\n 13%|█▌        | 2/15 [00:14<01:35,  7.32s/it]\n 20%|██        | 3/15 [00:21<01:27,  7.27s/it]\n 27%|██▌       | 4/15 [00:29<01:20,  7.27s/it]\n 33%|███▌      | 5/15 [00:36<01:12,  7.26s/it]\n 40%|████      | 6/15 [00:43<01:05,  7.26s/it]\n 47%|████▌     | 7/15 [00:50<00:58,  7.25s/it]\n 53%|█████▌    | 8/15 [00:58<00:50,  7.24s/it]\n 60%|██████    | 9/15 [01:05<00:43,  7.24s/it]\n 67%|██████▌   | 10/15 [01:12<00:36,  7.24s/it]\n 73%|███████▌  | 11/15 [01:19<00:28,  7.24s/it]\n 80%|████████  | 12/15 [01:27<00:21,  7.24s/it]\n 87%|████████▌ | 13/15 [01:34<00:14,  7.25s/it]\n 93%|█████████▌| 14/15 [01:41<00:07,  7.25s/it]\n100%|██████████| 15/15 [01:48<00:00,  7.25s/it]\n100%|██████████| 15/15 [01:48<00:00,  7.26s/it]\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Ejecting motion module mm_sd_v14.ckpt version v1.\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Cleaning motion module from unet.\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Removing motion module mm_sd_v14.ckpt from cache\n/src/ComfyUI/comfy/model_base.py:48: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\nself.register_buffer('betas', torch.tensor(betas, dtype=torch.float32))\n/src/ComfyUI/comfy/model_base.py:49: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\nself.register_buffer('alphas_cumprod', torch.tensor(alphas_cumprod, dtype=torch.float32))\nComfy-VFI: Clearing cache...\nComfy-VFI: Done cache clearing\nComfy-VFI: Clearing cache...\nComfy-VFI: Done cache clearing\nComfy-VFI: Clearing cache...\nComfy-VFI: Done cache clearing\nComfy-VFI: Clearing cache...\nComfy-VFI: Done cache clearing\nComfy-VFI: Clearing cache...\nComfy-VFI: Done cache clearing\nComfy-VFI: Clearing cache...\nComfy-VFI: Done cache clearing\nComfy-VFI: Clearing cache...\nComfy-VFI: Done cache clearing\nComfy-VFI: Clearing cache...\nComfy-VFI: Done cache clearing\nComfy-VFI: Clearing cache...\nComfy-VFI: Done cache clearing\nComfy-VFI: Final clearing cache...\nComfy-VFI: Done cache clearing\nPrompt executed in 149.75 seconds\nnode output:  {'images': [{'filename': 'ComfyUI_temp_jpqhc_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00003_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00004_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00005_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00006_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00007_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00008_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00009_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00010_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00011_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00012_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00013_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00014_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00015_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00016_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00017_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00018_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00019_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00020_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00021_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00022_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00023_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00024_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00025_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00026_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00027_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00028_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00029_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00030_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00031_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00032_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00033_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00034_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00035_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00036_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00037_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00038_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00039_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00040_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00041_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00042_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00043_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00044_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00045_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00046_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00047_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00048_.png', 'subfolder': '', 'type': 'temp'}]}\nnode output:  {'gifs': [{'filename': 'AD__00008_.gif', 'subfolder': 'AnimateDiff', 'type': 'output', 'format': 'image/gif'}]}\nnode output:  {'images': [{'filename': 'ComfyUI_temp_jpqhc_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00003_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00004_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00005_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00006_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00007_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00008_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00009_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00010_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00011_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00012_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00013_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00014_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00015_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00016_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00017_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00018_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00019_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00020_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00021_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00022_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00023_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00024_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00025_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00026_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00027_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00028_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00029_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00030_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00031_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00032_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00033_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00034_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00035_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00036_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00037_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00038_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00039_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00040_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00041_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00042_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00043_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00044_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00045_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00046_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00047_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00048_.png', 'subfolder': '', 'type': 'temp'}]}\nnode output:  {'gifs': [{'filename': 'AD__00008_.gif', 'subfolder': 'AnimateDiff', 'type': 'output', 'format': 'image/gif'}]}",
  "metrics": {
    "predict_time": 153.916551,
    "total_time": 410.850735
  },
  "output": "https://pbxt.replicate.delivery/Lv7DXF4COjZkJxeJ6Dv6vvuHl3FBbUQe7VU2Q4VlIeb6KRijA/AD__00008_.gif",
  "started_at": "2023-10-23T20:25:41.311287Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/cykay5lbx7owjfmry4lwzwrw6q",
    "cancel": "https://api.replicate.com/v1/predictions/cykay5lbx7owjfmry4lwzwrw6q/cancel"
  },
  "version": "de97580a694b9445ca578c8068a098d880908ab73eea7d84a2dbab2714dc712f"
}

Generated in

2 minutes 34 seconds

Tweak it Report

final res:  ['tmpq1hrz9k9im_1.png', 'tmpuum0h8kyim_2.png', 'tmp7n6fb1tfim_3.png']
got prompt
/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.__get__(instance, owner)()
Requested to load SD1ClipModel
Loading 1 new model
----------------------------------------
Efficient Loader Models Cache:
Ckpt:
[1] Realistic_Vision_V5.0
Requested to load CLIPVisionModelWithProjection
Loading 1 new model
[AnimateDiffEvo] - INFO - Loading motion module mm_sd_v14.ckpt
[AnimateDiffEvo] - INFO - Using fp16, converting motion module to fp16
final animation_prompt:  {'0': '', '16': '', '24': ''}
/src/ComfyUI/custom_nodes/ComfyUI_FizzNodes/BatchFuncs.py:88: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
cur_prompt_series[f] = ''
/src/ComfyUI/custom_nodes/ComfyUI_FizzNodes/BatchFuncs.py:89: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
nxt_prompt_series[f] = ''
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[AnimateDiffEvo] - INFO - Sliding context window activated - latents passed in (48) greater than context_length 16.
[AnimateDiffEvo] - INFO - Injecting motion module mm_sd_v14.ckpt version v1.
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/src/ComfyUI/comfy/model_base.py:48: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
self.register_buffer('betas', torch.tensor(betas, dtype=torch.float32))
/src/ComfyUI/comfy/model_base.py:49: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
self.register_buffer('alphas_cumprod', torch.tensor(alphas_cumprod, dtype=torch.float32))
Comfy-VFI: Clearing cache...
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Comfy-VFI: Final clearing cache...
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Prompt executed in 149.75 seconds
node output:  {'images': [{'filename': 'ComfyUI_temp_jpqhc_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00003_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00004_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00005_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00006_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00007_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00008_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00009_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00010_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00011_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00012_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00013_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00014_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00015_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00016_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00017_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00018_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00019_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00020_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00021_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00022_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00023_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00024_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00025_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00026_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00027_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00028_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00029_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00030_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00031_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00032_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00033_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00034_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00035_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00036_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00037_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00038_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00039_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00040_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00041_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00042_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00043_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00044_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00045_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00046_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00047_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00048_.png', 'subfolder': '', 'type': 'temp'}]}
node output:  {'gifs': [{'filename': 'AD__00008_.gif', 'subfolder': 'AnimateDiff', 'type': 'output', 'format': 'image/gif'}]}
node output:  {'images': [{'filename': 'ComfyUI_temp_jpqhc_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00003_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00004_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00005_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00006_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00007_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00008_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00009_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00010_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00011_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00012_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00013_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00014_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00015_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00016_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00017_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00018_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00019_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00020_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00021_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00022_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00023_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00024_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00025_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00026_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00027_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00028_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00029_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00030_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00031_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00032_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00033_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00034_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00035_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00036_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00037_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00038_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00039_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00040_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00041_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00042_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00043_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00044_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00045_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00046_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00047_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_jpqhc_00048_.png', 'subfolder': '', 'type': 'temp'}]}
node output:  {'gifs': [{'filename': 'AD__00008_.gif', 'subfolder': 'AnimateDiff', 'type': 'output', 'format': 'image/gif'}]}

Examples

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Run time and cost

This model costs approximately $0.41 to run on Replicate, or 2 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 5 minutes. The predict time for this model varies significantly based on the inputs.

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