jarvis-labs2024/my_sdxl_ip:970f9ab7 | Run with an API on Replicate

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jarvis-labs2024 /my_sdxl_ip:970f9ab7

Playground API Setup logs

Input

ip_image

*file

IP adapter image

prompt

string

Shift + Return to add a new line

Text prompt for image generation

Default: ""

image

file

Input image to transform

base_model

string

Which Base model

Default: "Lykon/DreamShaper"

mask

file

Mask image

negative_prompt

string

Shift + Return to add a new line

deformed, ugly, wrong proportion, low res, bad anatomy, worst quality, low qualitydeformed, ugly, wrong proportion, low res, bad anatomy, worst quality, low quality

Negative prompt

Default: "deformed, ugly, wrong proportion, low res, bad anatomy, worst quality, low quality"

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of denoising steps

Default: 50

guidance_scale

number

(minimum: 0, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

strength

number

(minimum: 0, maximum: 1)

Strength for conditioning

Default: 0.65

ip_scale

number

(minimum: 0, maximum: 1)

Strength for IP adapter

Default: 0.6

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=jarvis-labs2024/my_sdxl_ip

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 jarvis-labs2024/my_sdxl_ip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jarvis-labs2024/my_sdxl_ip:970f9ab7f9c79507564e01039ae27f630535d19c786700c2ea948720cff6d38c",
  {
    input: {
      prompt: "",
      ip_scale: 0.6,
      strength: 0.65,
      base_model: "Lykon/DreamShaper",
      guidance_scale: 7.5,
      negative_prompt: "deformed, ugly, wrong proportion, low res, bad anatomy, worst quality, low quality",
      num_inference_steps: 50
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run jarvis-labs2024/my_sdxl_ip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jarvis-labs2024/my_sdxl_ip:970f9ab7f9c79507564e01039ae27f630535d19c786700c2ea948720cff6d38c",
    input={
        "prompt": "",
        "ip_scale": 0.6,
        "strength": 0.65,
        "base_model": "Lykon/DreamShaper",
        "guidance_scale": 7.5,
        "negative_prompt": "deformed, ugly, wrong proportion, low res, bad anatomy, worst quality, low quality",
        "num_inference_steps": 50
    }
)
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 jarvis-labs2024/my_sdxl_ip 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": "jarvis-labs2024/my_sdxl_ip:970f9ab7f9c79507564e01039ae27f630535d19c786700c2ea948720cff6d38c",
    "input": {
      "prompt": "",
      "ip_scale": 0.6,
      "strength": 0.65,
      "base_model": "Lykon/DreamShaper",
      "guidance_scale": 7.5,
      "negative_prompt": "deformed, ugly, wrong proportion, low res, bad anatomy, worst quality, low quality",
      "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.