fofr/kolors-with-ipadapter:5a1a92b2 | Run with an API on Replicate

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fofr /kolors-with-ipadapter:5a1a92b2

Playground API

Input

prompt

string

Shift + Return to add a new line

an illustration of a cute dog jumping over a sleeping catan illustration of a cute dog jumping over a sleeping cat

Default: ""

negative_prompt

string

Shift + Return to add a new line

Things you do not want to see in your image

Default: ""

image

file

Image to use as a reference for the IPAdapter

number_of_images

integer

(minimum: 1, maximum: 10)

Number of images to generate

Default: 1

width

integer

(minimum: 512, maximum: 2048)

Width of the image

Default: 1024

height

integer

(minimum: 512, maximum: 2048)

Height of the image

Default: 1024

steps

integer

(minimum: 1, maximum: 50)

Number of inference steps

Default: 25

cfg

number

(minimum: 0, maximum: 20)

Guidance scale

Default: 4

sampler

string

Sampler

Default: "dpmpp_2m_sde_gpu"

scheduler

string

Scheduler

Default: "karras"

ip_adapter_weight_type

string

Weight type for the IPAdapter

Default: "style transfer precise"

ip_adapter_weight

number

(minimum: 0, maximum: 1)

Strength of the IPAdapter

Default: 1

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 80

seed

integer

Set a seed for reproducibility. Random by default.

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

npx create-replicate --model=fofr/kolors-with-ipadapter

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 fofr/kolors-with-ipadapter using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/kolors-with-ipadapter:5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed",
  {
    input: {
      cfg: 4,
      image: "https://replicate.delivery/pbxt/LI5VAhU2v3jNTjuE76GMTzikT1XMiUoRSznZdXR0cAnK1XJS/ComfyUI_00362_.png",
      steps: 25,
      width: 1024,
      height: 1024,
      prompt: "an illustration of a cute dog jumping over a sleeping cat",
      sampler: "dpmpp_2m_sde_gpu",
      scheduler: "karras",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "",
      number_of_images: 1,
      ip_adapter_weight: 1,
      ip_adapter_weight_type: "style transfer precise"
    }
  }
);

// 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 fofr/kolors-with-ipadapter using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/kolors-with-ipadapter:5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed",
    input={
        "cfg": 4,
        "image": "https://replicate.delivery/pbxt/LI5VAhU2v3jNTjuE76GMTzikT1XMiUoRSznZdXR0cAnK1XJS/ComfyUI_00362_.png",
        "steps": 25,
        "width": 1024,
        "height": 1024,
        "prompt": "an illustration of a cute dog jumping over a sleeping cat",
        "sampler": "dpmpp_2m_sde_gpu",
        "scheduler": "karras",
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "",
        "number_of_images": 1,
        "ip_adapter_weight": 1,
        "ip_adapter_weight_type": "style transfer precise"
    }
)
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 fofr/kolors-with-ipadapter 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": "fofr/kolors-with-ipadapter:5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed",
    "input": {
      "cfg": 4,
      "image": "https://replicate.delivery/pbxt/LI5VAhU2v3jNTjuE76GMTzikT1XMiUoRSznZdXR0cAnK1XJS/ComfyUI_00362_.png",
      "steps": 25,
      "width": 1024,
      "height": 1024,
      "prompt": "an illustration of a cute dog jumping over a sleeping cat",
      "sampler": "dpmpp_2m_sde_gpu",
      "scheduler": "karras",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1,
      "ip_adapter_weight": 1,
      "ip_adapter_weight_type": "style transfer precise"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-07-18T17:18:37.129145Z",
  "created_at": "2024-07-18T17:18:29.145000Z",
  "data_removed": false,
  "error": null,
  "id": "3eqtsdhv35rgm0cgrvd8yr1y7c",
  "input": {
    "cfg": 4,
    "image": "https://replicate.delivery/pbxt/LI5VAhU2v3jNTjuE76GMTzikT1XMiUoRSznZdXR0cAnK1XJS/ComfyUI_00362_.png",
    "steps": 25,
    "width": 1024,
    "height": 1024,
    "prompt": "an illustration of a cute dog jumping over a sleeping cat",
    "sampler": "dpmpp_2m_sde_gpu",
    "scheduler": "karras",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1,
    "ip_adapter_weight": 1,
    "ip_adapter_weight_type": "style transfer precise"
  },
  "logs": "Random seed set to: 1134600525\nRunning workflow\ngot prompt\nExecuting node 67, title: MinusZone - ChatGLM3TextEncode, class type: MZ_ChatGLM3\nExecuting node 79, title: KSampler, class type: KSampler\nRequested to load SDXL\nLoading 1 new model\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:04,  4.94it/s]\n  8%|▊         | 2/25 [00:00<00:04,  4.90it/s]\n 12%|█▏        | 3/25 [00:00<00:04,  4.89it/s]\n 16%|█▌        | 4/25 [00:00<00:04,  4.89it/s]\n 20%|██        | 5/25 [00:01<00:04,  4.90it/s]\n 24%|██▍       | 6/25 [00:01<00:03,  4.89it/s]\n 28%|██▊       | 7/25 [00:01<00:03,  4.89it/s]\n 32%|███▏      | 8/25 [00:01<00:03,  4.89it/s]\n 36%|███▌      | 9/25 [00:01<00:03,  4.89it/s]\n 40%|████      | 10/25 [00:02<00:03,  4.86it/s]\n 44%|████▍     | 11/25 [00:02<00:02,  4.86it/s]\n 48%|████▊     | 12/25 [00:02<00:02,  4.87it/s]\n 52%|█████▏    | 13/25 [00:02<00:02,  4.88it/s]\n 56%|█████▌    | 14/25 [00:02<00:02,  4.88it/s]\n 60%|██████    | 15/25 [00:03<00:02,  4.89it/s]\n 64%|██████▍   | 16/25 [00:03<00:01,  4.89it/s]\n 68%|██████▊   | 17/25 [00:03<00:01,  4.90it/s]\n 72%|███████▏  | 18/25 [00:03<00:01,  4.90it/s]\n 76%|███████▌  | 19/25 [00:03<00:01,  4.90it/s]\n 80%|████████  | 20/25 [00:04<00:01,  4.90it/s]\n 84%|████████▍ | 21/25 [00:04<00:00,  4.89it/s]\n 88%|████████▊ | 22/25 [00:04<00:00,  4.90it/s]\n 92%|█████████▏| 23/25 [00:04<00:00,  4.90it/s]\n 96%|█████████▌| 24/25 [00:04<00:00,  4.92it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.94it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.90it/s]\nRequested to load AutoencoderKL\nLoading 1 new model\nExecuting node 80, title: VAE Decode, class type: VAEDecode\nExecuting node 89, title: Save Image, class type: SaveImage\nPrompt executed in 5.91 seconds\noutputs:  {'89': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 7.888414131,
    "total_time": 7.984145
  },
  "output": [
    "https://replicate.delivery/pbxt/6afB4UMVrtXOCCUwnEN3pGvVx0OqPTr4A1656w6SSUL2A4kJA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-18T17:18:29.240731Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3eqtsdhv35rgm0cgrvd8yr1y7c",
    "cancel": "https://api.replicate.com/v1/predictions/3eqtsdhv35rgm0cgrvd8yr1y7c/cancel"
  },
  "version": "5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed"
}

Generated in

7.9 seconds

Tweak it ShareReport View full prediction

Random seed set to: 1134600525
Running workflow
got prompt
Executing node 67, title: MinusZone - ChatGLM3TextEncode, class type: MZ_ChatGLM3
Executing node 79, title: KSampler, class type: KSampler
Requested to load SDXL
Loading 1 new model
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Requested to load AutoencoderKL
Loading 1 new model
Executing node 80, title: VAE Decode, class type: VAEDecode
Executing node 89, title: Save Image, class type: SaveImage
Prompt executed in 5.91 seconds
outputs:  {'89': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png