fofr / kolors-with-ipadapter

Kolors with style transfer, composition transfer and other IPAdapter techniques

Cold

Public
17.8K runs
L40S
GitHub
Paper
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Prediction

fofr/kolors-with-ipadapter:5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed

Model

fofr/kolors-with-ipadapter:5a1a92b2

vrahx8gdfdrgm0cgrvbsh0h950

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

7.5s

Created

about 1 year ago

Input

cfg: 4
image
steps: 25
width: 1024
height: 1024
prompt: a cyberpunk portrait
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

{
  "cfg": 4,
  "image": "https://replicate.delivery/pbxt/LI5RtDlX79f3jAJg0BuKLpA68RmwZxDMz3QtaMYFRbxrAXlq/ComfyUI_01601_.png",
  "steps": 25,
  "width": 1024,
  "height": 1024,
  "prompt": "a cyberpunk portrait",
  "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"
}

Install Replicate’s Node.js client library:

npm install replicate

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/LI5RtDlX79f3jAJg0BuKLpA68RmwZxDMz3QtaMYFRbxrAXlq/ComfyUI_01601_.png",
      steps: 25,
      width: 1024,
      height: 1024,
      prompt: "a cyberpunk portrait",
      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

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/LI5RtDlX79f3jAJg0BuKLpA68RmwZxDMz3QtaMYFRbxrAXlq/ComfyUI_01601_.png",
        "steps": 25,
        "width": 1024,
        "height": 1024,
        "prompt": "a cyberpunk portrait",
        "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:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

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/LI5RtDlX79f3jAJg0BuKLpA68RmwZxDMz3QtaMYFRbxrAXlq/ComfyUI_01601_.png",
      "steps": 25,
      "width": 1024,
      "height": 1024,
      "prompt": "a cyberpunk portrait",
      "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": "2024-07-18T17:15:08.324579Z",
  "created_at": "2024-07-18T17:15:00.859000Z",
  "data_removed": false,
  "error": null,
  "id": "vrahx8gdfdrgm0cgrvbsh0h950",
  "input": {
    "cfg": 4,
    "image": "https://replicate.delivery/pbxt/LI5RtDlX79f3jAJg0BuKLpA68RmwZxDMz3QtaMYFRbxrAXlq/ComfyUI_01601_.png",
    "steps": 25,
    "width": 1024,
    "height": 1024,
    "prompt": "a cyberpunk portrait",
    "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: 1432918853\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,  4.96it/s]\n  8%|▊         | 2/25 [00:00<00:04,  4.90it/s]\n 12%|█▏        | 3/25 [00:00<00:04,  4.90it/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,  4.88it/s]\n 32%|███▏      | 8/25 [00:01<00:03,  4.87it/s]\n 36%|███▌      | 9/25 [00:01<00:03,  4.87it/s]\n 40%|████      | 10/25 [00:02<00:03,  4.87it/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,  4.87it/s]\n 56%|█████▌    | 14/25 [00:02<00:02,  4.87it/s]\n 60%|██████    | 15/25 [00:03<00:02,  4.87it/s]\n 64%|██████▍   | 16/25 [00:03<00:01,  4.87it/s]\n 68%|██████▊   | 17/25 [00:03<00:01,  4.88it/s]\n 72%|███████▏  | 18/25 [00:03<00:01,  4.87it/s]\n 76%|███████▌  | 19/25 [00:03<00:01,  4.87it/s]\n 80%|████████  | 20/25 [00:04<00:01,  4.87it/s]\n 84%|████████▍ | 21/25 [00:04<00:00,  4.88it/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,  4.89it/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 5.73 seconds\noutputs:  {'89': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 7.3695629369999995,
    "total_time": 7.465579
  },
  "output": [
    "https://replicate.delivery/pbxt/xWYZfxWf3Fof6oQvN3CZIx3tTA1DyRqLohUWTwy5PUL38fmMB/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-18T17:15:00.955016Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/vrahx8gdfdrgm0cgrvbsh0h950",
    "cancel": "https://api.replicate.com/v1/predictions/vrahx8gdfdrgm0cgrvbsh0h950/cancel"
  },
  "version": "5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed"
}

Generated in

7.4 seconds

Tweak it ShareReport

Random seed set to: 1432918853
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
  0%|          | 0/25 [00:00<?, ?it/s]
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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 5.73 seconds
outputs:  {'89': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png

Prediction

fofr/kolors-with-ipadapter:5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed

Model

fofr/kolors-with-ipadapter:5a1a92b2

3eqtsdhv35rgm0cgrvd8yr1y7c

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

8.0s

Created

about 1 year ago by @fofr

Input

cfg: 4
image
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

{
  "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"
}

Install Replicate’s Node.js client library:

npm install replicate

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

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"
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

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

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
  0%|          | 0/25 [00:00<?, ?it/s]
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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

Prediction

fofr/kolors-with-ipadapter:5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed

Model

fofr/kolors-with-ipadapter:5a1a92b2

hhxyfrw6d5rgj0cgrvetxhrz4g

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

10.2s

Created

about 1 year ago

Input

cfg: 4
image
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: 0.85
ip_adapter_weight_type: style transfer precise

{
  "cfg": 4,
  "image": "https://replicate.delivery/pbxt/LI5YaUC2BygRqX8nUU1nKfjGg1k4j3fcRjZLfQHVUZZWWLQA/R8_Kolor_00001_.webp",
  "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": 0.85,
  "ip_adapter_weight_type": "style transfer precise"
}

Install Replicate’s Node.js client library:

npm install replicate

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/LI5YaUC2BygRqX8nUU1nKfjGg1k4j3fcRjZLfQHVUZZWWLQA/R8_Kolor_00001_.webp",
      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: 0.85,
      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

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/LI5YaUC2BygRqX8nUU1nKfjGg1k4j3fcRjZLfQHVUZZWWLQA/R8_Kolor_00001_.webp",
        "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": 0.85,
        "ip_adapter_weight_type": "style transfer precise"
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

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/LI5YaUC2BygRqX8nUU1nKfjGg1k4j3fcRjZLfQHVUZZWWLQA/R8_Kolor_00001_.webp",
      "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": 0.85,
      "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": "2024-07-18T17:22:15.197256Z",
  "created_at": "2024-07-18T17:22:05.033000Z",
  "data_removed": false,
  "error": null,
  "id": "hhxyfrw6d5rgj0cgrvetxhrz4g",
  "input": {
    "cfg": 4,
    "image": "https://replicate.delivery/pbxt/LI5YaUC2BygRqX8nUU1nKfjGg1k4j3fcRjZLfQHVUZZWWLQA/R8_Kolor_00001_.webp",
    "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": 0.85,
    "ip_adapter_weight_type": "style transfer precise"
  },
  "logs": "Random seed set to: 2201315485\nRunning workflow\ngot prompt\nExecuting node 95, title: Load Image, class type: LoadImage\nRequested to load CLIPVisionModelProjection\nLoading 1 new model\nExecuting node 96, title: IPAdapter Advanced, class type: IPAdapterAdvanced\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,  4.93it/s]\n  8%|▊         | 2/25 [00:00<00:04,  4.89it/s]\n 12%|█▏        | 3/25 [00:00<00:04,  4.90it/s]\n 16%|█▌        | 4/25 [00:00<00:04,  4.90it/s]\n 20%|██        | 5/25 [00:01<00:04,  4.91it/s]\n 24%|██▍       | 6/25 [00:01<00:03,  4.90it/s]\n 28%|██▊       | 7/25 [00:01<00:03,  4.89it/s]\n 32%|███▏      | 8/25 [00:01<00:03,  4.88it/s]\n 36%|███▌      | 9/25 [00:01<00:03,  4.88it/s]\n 40%|████      | 10/25 [00:02<00:03,  4.88it/s]\n 44%|████▍     | 11/25 [00:02<00:02,  4.88it/s]\n 48%|████▊     | 12/25 [00:02<00:02,  4.88it/s]\n 52%|█████▏    | 13/25 [00:02<00:02,  4.88it/s]\n 56%|█████▌    | 14/25 [00:02<00:02,  4.87it/s]\n 60%|██████    | 15/25 [00:03<00:02,  4.88it/s]\n 64%|██████▍   | 16/25 [00:03<00:01,  4.88it/s]\n 68%|██████▊   | 17/25 [00:03<00:01,  4.89it/s]\n 72%|███████▏  | 18/25 [00:03<00:01,  4.88it/s]\n 76%|███████▌  | 19/25 [00:03<00:01,  4.89it/s]\n 80%|████████  | 20/25 [00:04<00:01,  4.88it/s]\n 84%|████████▍ | 21/25 [00:04<00:00,  4.88it/s]\n 88%|████████▊ | 22/25 [00:04<00:00,  4.89it/s]\n 92%|█████████▏| 23/25 [00:04<00:00,  4.89it/s]\n 96%|█████████▌| 24/25 [00:04<00:00,  4.91it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.93it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.89it/s]\nExecuting node 80, title: VAE Decode, class type: VAEDecode\nExecuting node 89, title: Save Image, class type: SaveImage\nPrompt executed in 8.08 seconds\noutputs:  {'89': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 10.068631882,
    "total_time": 10.164256
  },
  "output": [
    "https://replicate.delivery/pbxt/KWCroYScRDZfESFgzCelPOj3e1CZy8Ogl1OHNoDgmhGMKgTmA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-18T17:22:05.128624Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/hhxyfrw6d5rgj0cgrvetxhrz4g",
    "cancel": "https://api.replicate.com/v1/predictions/hhxyfrw6d5rgj0cgrvetxhrz4g/cancel"
  },
  "version": "5a1a92b2c0f81813225d48ed8e411813da41aa84e7582fb705d1af46eea36eed"
}

Generated in

10.1 seconds

Tweak it ShareReport

Random seed set to: 2201315485
Running workflow
got prompt
Executing node 95, title: Load Image, class type: LoadImage
Requested to load CLIPVisionModelProjection
Loading 1 new model
Executing node 96, title: IPAdapter Advanced, class type: IPAdapterAdvanced
Executing node 79, title: KSampler, class type: KSampler
Requested to load SDXL
Loading 1 new model
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Executing node 80, title: VAE Decode, class type: VAEDecode
Executing node 89, title: Save Image, class type: SaveImage
Prompt executed in 8.08 seconds
outputs:  {'89': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png

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