jyoung105/instant-style-control – Run with an API on Replicate

jyoung105 / instant-style-control

Free Lunch towards Style-Preserving in Text-to-Image Generation by InstantX team, with ControlNet

Cold

Public
545 runs
L40S
GitHub
Paper

Run with an API

Playground API Examples README Versions

Input

style_image

file

Preview

Input reference image for style

control_image

file

Preview

Input reference image for original composition

prompt

string

Shift + Return to add a new line

Astronaut in a jungle, cold color palette, muted colors, detailed, 8kAstronaut in a jungle, cold color palette, muted colors, detailed, 8k

Input prompt

negative_prompt

string

Shift + Return to add a new line

ugly, deformed, disfigured, poor details, bad anatomyugly, deformed, disfigured, poor details, bad anatomy

Input negative prompt

num_outputs

integer

(minimum: 1, maximum: 4)

Number of output images

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps

Default: 8

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 1

seed

integer

Random seed. Leave blank to randomize the seed

style_strength

number

(minimum: 0, maximum: 2)

Conditioning scale for ip-adapter

Default: 0.9

structure_strength

number

(minimum: 0, maximum: 2)

Conditioning scale for controlnet

Default: 1.1

block_mode

string

Mode to reference the image: original, style with or without layout

Default: "style-only"

adapter_mode

string

Mode to reference the image: high flexibility but low fidelity or low flexibility but high fidelity

Default: "original"

enable_negative_content

boolean

Choose whether you extract only style part of prompt or not

Default: false

negative_content

string

Shift + Return to add a new line

Input negative prompt

negative_content_strength

number

(minimum: 0, maximum: 1)

Conditioning scale for content you want to exclude

Default: 0.5

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

npx create-replicate --model=jyoung105/instant-style-control

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";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run jyoung105/instant-style-control using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jyoung105/instant-style-control:bae2c4c184e7284f1478b36bfc045a5b32717e9422c06c9850bf50ebdd44b648",
  {
    input: {
      prompt: "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
      block_mode: "original",
      num_outputs: 1,
      style_image: "https://replicate.delivery/pbxt/KhuVS13nzXsU2rMYgEdlcJpNAmEiwP6U8SynbW2TKDyjQOoO/f66790d6bcbc4d529479540bec1b9f1e_06b38be3804e49e789f32fcdde1b576d.png",
      adapter_mode: "original",
      control_image: "https://replicate.delivery/pbxt/KhuVSESWxoUIHzU1pajEJGrE7aZOTpbxm23JbLI4XMWl5JnS/33ef158a8a6247d0a058046c66a0c0c0_496baaa7f7cc4587989b6e967c354a56.png",
      guidance_scale: 1,
      style_strength: 1,
      negative_prompt: "ugly, deformed, disfigured, poor details, bad anatomy",
      structure_strength: 1.1,
      num_inference_steps: 10,
      enable_negative_content: false,
      negative_content_strength: 0.5
    }
  }
);

// 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 jyoung105/instant-style-control using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jyoung105/instant-style-control:bae2c4c184e7284f1478b36bfc045a5b32717e9422c06c9850bf50ebdd44b648",
    input={
        "prompt": "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
        "block_mode": "original",
        "num_outputs": 1,
        "style_image": "https://replicate.delivery/pbxt/KhuVS13nzXsU2rMYgEdlcJpNAmEiwP6U8SynbW2TKDyjQOoO/f66790d6bcbc4d529479540bec1b9f1e_06b38be3804e49e789f32fcdde1b576d.png",
        "adapter_mode": "original",
        "control_image": "https://replicate.delivery/pbxt/KhuVSESWxoUIHzU1pajEJGrE7aZOTpbxm23JbLI4XMWl5JnS/33ef158a8a6247d0a058046c66a0c0c0_496baaa7f7cc4587989b6e967c354a56.png",
        "guidance_scale": 1,
        "style_strength": 1,
        "negative_prompt": "ugly, deformed, disfigured, poor details, bad anatomy",
        "structure_strength": 1.1,
        "num_inference_steps": 10,
        "enable_negative_content": False,
        "negative_content_strength": 0.5
    }
)
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 jyoung105/instant-style-control 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": "bae2c4c184e7284f1478b36bfc045a5b32717e9422c06c9850bf50ebdd44b648",
    "input": {
      "prompt": "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
      "block_mode": "original",
      "num_outputs": 1,
      "style_image": "https://replicate.delivery/pbxt/KhuVS13nzXsU2rMYgEdlcJpNAmEiwP6U8SynbW2TKDyjQOoO/f66790d6bcbc4d529479540bec1b9f1e_06b38be3804e49e789f32fcdde1b576d.png",
      "adapter_mode": "original",
      "control_image": "https://replicate.delivery/pbxt/KhuVSESWxoUIHzU1pajEJGrE7aZOTpbxm23JbLI4XMWl5JnS/33ef158a8a6247d0a058046c66a0c0c0_496baaa7f7cc4587989b6e967c354a56.png",
      "guidance_scale": 1,
      "style_strength": 1,
      "negative_prompt": "ugly, deformed, disfigured, poor details, bad anatomy",
      "structure_strength": 1.1,
      "num_inference_steps": 10,
      "enable_negative_content": false,
      "negative_content_strength": 0.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-04-07T19:16:01.792931Z",
  "created_at": "2024-04-07T19:12:53.244000Z",
  "data_removed": false,
  "error": null,
  "id": "69a1dmafzhrgp0ceq7x9eyn87w",
  "input": {
    "prompt": "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
    "block_mode": "original",
    "num_outputs": 1,
    "style_image": "https://replicate.delivery/pbxt/KhuVS13nzXsU2rMYgEdlcJpNAmEiwP6U8SynbW2TKDyjQOoO/f66790d6bcbc4d529479540bec1b9f1e_06b38be3804e49e789f32fcdde1b576d.png",
    "adapter_mode": "original",
    "control_image": "https://replicate.delivery/pbxt/KhuVSESWxoUIHzU1pajEJGrE7aZOTpbxm23JbLI4XMWl5JnS/33ef158a8a6247d0a058046c66a0c0c0_496baaa7f7cc4587989b6e967c354a56.png",
    "guidance_scale": 1,
    "style_strength": 1,
    "negative_prompt": "ugly, deformed, disfigured, poor details, bad anatomy",
    "num_inference_steps": 10,
    "enable_negative_content": false,
    "negative_content_strength": 0.5
  },
  "logs": "Using seed: 21992\nDEVICE: cuda\nDTYPE: torch.float16\nStart inference...\n[Debug] Prompt: Astronaut in a jungle, cold color palette, muted colors, detailed, 8k, best quality, high detail, sharp focus,\n[Debug] Neg Prompt: text, watermark, lowres, low quality, worst quality, deformed, glitch, low contrast, noisy, saturation, blurry, ugly, deformed, disfigured, poor details, bad anatomy\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:00<00:02,  3.25it/s]\n 20%|██        | 2/10 [00:00<00:01,  4.96it/s]\n 30%|███       | 3/10 [00:00<00:01,  5.48it/s]\n 40%|████      | 4/10 [00:00<00:01,  5.75it/s]\n 50%|█████     | 5/10 [00:00<00:00,  5.90it/s]\n 60%|██████    | 6/10 [00:01<00:00,  5.98it/s]\n 70%|███████   | 7/10 [00:01<00:00,  6.03it/s]\n 80%|████████  | 8/10 [00:01<00:00,  6.06it/s]\n 90%|█████████ | 9/10 [00:01<00:00,  6.09it/s]\n100%|██████████| 10/10 [00:01<00:00,  6.10it/s]\n100%|██████████| 10/10 [00:01<00:00,  5.77it/s]\nFinish generation in 2.479693651199341 secs.",
  "metrics": {
    "predict_time": 11.871255,
    "total_time": 188.548931
  },
  "output": [
    "https://replicate.delivery/pbxt/opGOcVLnchJCLFjzQV4VHmO0K8jiKufgYOBMqTa81EW4FFUJA/out_0.png"
  ],
  "started_at": "2024-04-07T19:15:49.921676Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/69a1dmafzhrgp0ceq7x9eyn87w",
    "cancel": "https://api.replicate.com/v1/predictions/69a1dmafzhrgp0ceq7x9eyn87w/cancel"
  },
  "version": "bf470ed019c0dfe7ce5bf2a684b82256e39d215f10b0410f8735638c011c4cfa"
}

Generated in

11.9 seconds

Tweak it ShareReport

This output was created using a different version of the model, jyoung105/instant-style-control:bf470ed0.

Examples

View more examples

Run time and cost

This model costs approximately $0.012 to run on Replicate, or 83 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 13 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.