moayedhajiali/elasticdiffusion:cb1517af | Run with an API on Replicate

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moayedhajiali /elasticdiffusion:cb1517af

Playground API

Input

prompt

*string

Shift + Return to add a new line

Input Prompt

negative_prompts

string

Shift + Return to add a new line

Negative Prompt

Default: ""

img_width

integer

(minimum: 128, maximum: 2048)

Width

Default: 768

img_height

integer

(minimum: 128, maximum: 2048)

Height

Default: 768

resampling_steps

integer

Resampling: Steps

Default: 10

resampling_drop_p

number

(minimum: 0.5, maximum: 0.9)

Resampling: Percentage of Newly Sampled Pixels

Default: 0.7

rrg_scale

integer

Reduced Resolution Guidance Scale

Default: 400

guidance_scale

number

Classifer-Free Guidance Scale

Default: 10

cosine_scale

number

Cosine Scale

Default: 10

view_batch_size

integer

View Batch Size

Default: 16

num_inference_steps

integer

(minimum: 30, maximum: 100)

Number of Inference Steps

Default: 50

seed

integer

Seed

Default: 0

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

npx create-replicate --model=moayedhajiali/elasticdiffusion

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

const output = await replicate.run(
  "moayedhajiali/elasticdiffusion:cb1517afe22352ad7cb8de6e60b1da5f1df79dc7b8527a68673dccf7bc516db1",
  {
    input: {
      seed: 0,
      img_width: 768,
      rrg_scale: 400,
      img_height: 768,
      cosine_scale: 10,
      guidance_scale: 10,
      view_batch_size: 16,
      negative_prompts: "",
      resampling_steps: 10,
      resampling_drop_p: 0.7,
      num_inference_steps: 50
    }
  }
);

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

output = replicate.run(
    "moayedhajiali/elasticdiffusion:cb1517afe22352ad7cb8de6e60b1da5f1df79dc7b8527a68673dccf7bc516db1",
    input={
        "seed": 0,
        "img_width": 768,
        "rrg_scale": 400,
        "img_height": 768,
        "cosine_scale": 10,
        "guidance_scale": 10,
        "view_batch_size": 16,
        "negative_prompts": "",
        "resampling_steps": 10,
        "resampling_drop_p": 0.7,
        "num_inference_steps": 50
    }
)

# 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=<paste-your-token-here>

Find your API token in your account settings.

Run moayedhajiali/elasticdiffusion 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": "moayedhajiali/elasticdiffusion:cb1517afe22352ad7cb8de6e60b1da5f1df79dc7b8527a68673dccf7bc516db1",
    "input": {
      "seed": 0,
      "img_width": 768,
      "rrg_scale": 400,
      "img_height": 768,
      "cosine_scale": 10,
      "guidance_scale": 10,
      "view_batch_size": 16,
      "negative_prompts": "",
      "resampling_steps": 10,
      "resampling_drop_p": 0.7,
      "num_inference_steps": 50
    }
  }' \
  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.