piyushk52/ad_interpolation:4a478c65 | Run with an API on Replicate

Version

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piyushk52 /ad_interpolation:4a478c65

Playground API

Input

positive_prompt

*string

Shift + Return to add a new line

Positive Prompt

negative_prompt

*string

Shift + Return to add a new line

Negative Prompt

image_dimension

string

Select image dimenstions

Default: "512x512"

starting_image_path

*file

Starting Image

ending_image_path

*file

Ending Image

seed

integer

Sampling seed

Default: -1

sampling_steps

integer

Sampling steps

Default: 30

cfg

number

(minimum: 0, maximum: 30)

Interpolation sampler cfg

Default: 8

motion_module

string

Select a Motion Model

Default: "mm_sd_v14.ckpt"

model

string

Select a Module

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

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

npx create-replicate --model=piyushk52/ad_interpolation

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

const output = await replicate.run(
  "piyushk52/ad_interpolation:4a478c659d96673b81992b866f1072fc62f297b7ad9945632cda027a6a07c624",
  {
    input: {
      cfg: 8,
      seed: -1,
      model: "Counterfeit-V3.0_fp32.safetensors",
      motion_module: "mm_sd_v14.ckpt",
      sampling_steps: 30,
      image_dimension: "512x512"
    }
  }
);

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

output = replicate.run(
    "piyushk52/ad_interpolation:4a478c659d96673b81992b866f1072fc62f297b7ad9945632cda027a6a07c624",
    input={
        "cfg": 8,
        "seed": -1,
        "model": "Counterfeit-V3.0_fp32.safetensors",
        "motion_module": "mm_sd_v14.ckpt",
        "sampling_steps": 30,
        "image_dimension": "512x512"
    }
)
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_interpolation 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_interpolation:4a478c659d96673b81992b866f1072fc62f297b7ad9945632cda027a6a07c624",
    "input": {
      "cfg": 8,
      "seed": -1,
      "model": "Counterfeit-V3.0_fp32.safetensors",
      "motion_module": "mm_sd_v14.ckpt",
      "sampling_steps": 30,
      "image_dimension": "512x512"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.