marcodemutiis / texture-portrait

Generates images in the style of NPC game textures

Warm

Public
29 runs
H100

Iterate in playground

Run with an API

Playground API Examples README Versions

Prediction

marcodemutiis/texture-portrait:89adcb5ff39bbdf2941500f21af4b90c5b78d9cd1258efb53cb203fbf99020df

Model

marcodemutiis/texture-portrait:89adcb5f

j76gwx8r7hrmc0cn6c8vcb84cg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

28.1s

Created

4 months ago

Input

model: dev
width: 1440
height: 1440
prompt: a portrait of a person in the style of texturePortraitTOK
go_fast
lora_scale: 1.27
megapixels: 1
num_outputs: 4
aspect_ratio: 1:1
output_format: png
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "width": 1440,
  "height": 1440,
  "prompt": "a portrait of a person in the style of texturePortraitTOK",
  "go_fast": false,
  "lora_scale": 1.27,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "1:1",
  "output_format": "png",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

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 marcodemutiis/texture-portrait using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "marcodemutiis/texture-portrait:89adcb5ff39bbdf2941500f21af4b90c5b78d9cd1258efb53cb203fbf99020df",
  {
    input: {
      model: "dev",
      width: 1440,
      height: 1440,
      prompt: "a portrait of a person in the style of texturePortraitTOK",
      go_fast: false,
      lora_scale: 1.27,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "1:1",
      output_format: "png",
      guidance_scale: 3,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 marcodemutiis/texture-portrait using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "marcodemutiis/texture-portrait:89adcb5ff39bbdf2941500f21af4b90c5b78d9cd1258efb53cb203fbf99020df",
    input={
        "model": "dev",
        "width": 1440,
        "height": 1440,
        "prompt": "a portrait of a person in the style of texturePortraitTOK",
        "go_fast": False,
        "lora_scale": 1.27,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "1:1",
        "output_format": "png",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)
print(output)

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

Run marcodemutiis/texture-portrait 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": "marcodemutiis/texture-portrait:89adcb5ff39bbdf2941500f21af4b90c5b78d9cd1258efb53cb203fbf99020df",
    "input": {
      "model": "dev",
      "width": 1440,
      "height": 1440,
      "prompt": "a portrait of a person in the style of texturePortraitTOK",
      "go_fast": false,
      "lora_scale": 1.27,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "1:1",
      "output_format": "png",
      "guidance_scale": 3,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-23T13:49:01.281426Z",
  "created_at": "2025-02-23T13:48:33.212000Z",
  "data_removed": false,
  "error": null,
  "id": "j76gwx8r7hrmc0cn6c8vcb84cg",
  "input": {
    "model": "dev",
    "width": 1440,
    "height": 1440,
    "prompt": "a portrait of a person in the style of texturePortraitTOK",
    "go_fast": false,
    "lora_scale": 1.27,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "1:1",
    "output_format": "png",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Loaded LoRAs in 0.55s\nUsing seed: 12350\nPrompt: a portrait of a person in the style of texturePortraitTOK\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:24,  1.08it/s]\n  7%|▋         | 2/28 [00:01<00:21,  1.21it/s]\n 11%|█         | 3/28 [00:02<00:21,  1.15it/s]\n 14%|█▍        | 4/28 [00:03<00:21,  1.12it/s]\n 18%|█▊        | 5/28 [00:04<00:20,  1.11it/s]\n 21%|██▏       | 6/28 [00:05<00:20,  1.10it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.09it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.09it/s]\n 32%|███▏      | 9/28 [00:08<00:17,  1.09it/s]\n 36%|███▌      | 10/28 [00:09<00:16,  1.08it/s]\n 39%|███▉      | 11/28 [00:10<00:15,  1.08it/s]\n 43%|████▎     | 12/28 [00:10<00:14,  1.08it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.08it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.08it/s]\n 54%|█████▎    | 15/28 [00:13<00:12,  1.08it/s]\n 57%|█████▋    | 16/28 [00:14<00:11,  1.08it/s]\n 61%|██████    | 17/28 [00:15<00:10,  1.08it/s]\n 64%|██████▍   | 18/28 [00:16<00:09,  1.08it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.08it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.08it/s]\n 75%|███████▌  | 21/28 [00:19<00:06,  1.08it/s]\n 79%|███████▊  | 22/28 [00:20<00:05,  1.08it/s]\n 82%|████████▏ | 23/28 [00:21<00:04,  1.08it/s]\n 86%|████████▌ | 24/28 [00:22<00:03,  1.08it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.08it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.08it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.08it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.08it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.09it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 28.060739769,
    "total_time": 28.069426
  },
  "output": [
    "https://replicate.delivery/xezq/idmodR1XlsYNEtifVzBumqPWKyZ4yA9mgm2y13jncj5myGJKA/out-0.png",
    "https://replicate.delivery/xezq/MsAgVlGgUdLCKJuhbvUBz0bSZVw7BOYiwg0rLdzy2DfmyGJKA/out-1.png",
    "https://replicate.delivery/xezq/0IAIy6sDpn4lAVUWVSpJOY32gY6Lu35K7zIaZXwEPqXTZjEF/out-2.png",
    "https://replicate.delivery/xezq/Pq4YCPz6wuoGAt5GO75NelC3H3qJ6Hhc6HcDFfIfZWubKbkoA/out-3.png"
  ],
  "started_at": "2025-02-23T13:48:33.220686Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-gsgxot2dhavvc5sai5oujggkplmx4kzs26dx44yv7cooc5puhrzq",
    "get": "https://api.replicate.com/v1/predictions/j76gwx8r7hrmc0cn6c8vcb84cg",
    "cancel": "https://api.replicate.com/v1/predictions/j76gwx8r7hrmc0cn6c8vcb84cg/cancel"
  },
  "version": "89adcb5ff39bbdf2941500f21af4b90c5b78d9cd1258efb53cb203fbf99020df"
}

Generated in

28.1 seconds

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