Prediction

Model

danila013/ghibli-easycontrol:f74e8ded

s2qsw1ad0drme0cp8drtfjrtg8

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

15.5s

Created

8 months ago

Webhook

–

Input

prompt: Ghibli Studio style, Charming hand-drawn anime-style illustration
input_image: https://replicate.delivery/pbxt/MqtrkwH9H0bCOMT7RtDAUJ44zIkuCW0sa1Lh03xg8pXH9r0q/pexels-murat-esibatir-360647-17430354.jpg
lora_weight: 1
num_inference_steps: 25
guidance_scale: 3.5
seed: -1

{
  "guidance_scale": 3.5,
  "input_image": "https://replicate.delivery/pbxt/MqtrkwH9H0bCOMT7RtDAUJ44zIkuCW0sa1Lh03xg8pXH9r0q/pexels-murat-esibatir-360647-17430354.jpg",
  "lora_weight": 1,
  "num_inference_steps": 25,
  "prompt": "Ghibli Studio style, Charming hand-drawn anime-style illustration",
  "seed": -1
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_QS7**********************************

This is your API token. Keep it to yourself.

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 danila013/ghibli-easycontrol using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "danila013/ghibli-easycontrol:f74e8dedd3ac3bc9e9d992fec9a12d62639e6f9bfc5bbf00a1edcca29673da66",
  {
    input: {
      guidance_scale: 3.5,
      input_image: "https://replicate.delivery/pbxt/MqtrkwH9H0bCOMT7RtDAUJ44zIkuCW0sa1Lh03xg8pXH9r0q/pexels-murat-esibatir-360647-17430354.jpg",
      lora_weight: 1,
      num_inference_steps: 25,
      prompt: "Ghibli Studio style, Charming hand-drawn anime-style illustration",
      seed: -1
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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=r8_QS7**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run danila013/ghibli-easycontrol using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "danila013/ghibli-easycontrol:f74e8dedd3ac3bc9e9d992fec9a12d62639e6f9bfc5bbf00a1edcca29673da66",
    input={
        "guidance_scale": 3.5,
        "input_image": "https://replicate.delivery/pbxt/MqtrkwH9H0bCOMT7RtDAUJ44zIkuCW0sa1Lh03xg8pXH9r0q/pexels-murat-esibatir-360647-17430354.jpg",
        "lora_weight": 1,
        "num_inference_steps": 25,
        "prompt": "Ghibli Studio style, Charming hand-drawn anime-style illustration",
        "seed": -1
    }
)

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

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

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=r8_QS7**********************************

This is your API token. Keep it to yourself.

Run danila013/ghibli-easycontrol 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": "danila013/ghibli-easycontrol:f74e8dedd3ac3bc9e9d992fec9a12d62639e6f9bfc5bbf00a1edcca29673da66",
    "input": {
      "guidance_scale": 3.5,
      "input_image": "https://replicate.delivery/pbxt/MqtrkwH9H0bCOMT7RtDAUJ44zIkuCW0sa1Lh03xg8pXH9r0q/pexels-murat-esibatir-360647-17430354.jpg",
      "lora_weight": 1,
      "num_inference_steps": 25,
      "prompt": "Ghibli Studio style, Charming hand-drawn anime-style illustration",
      "seed": -1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "s2qsw1ad0drme0cp8drtfjrtg8",
  "model": "danila013/ghibli-easycontrol",
  "version": "f74e8dedd3ac3bc9e9d992fec9a12d62639e6f9bfc5bbf00a1edcca29673da66",
  "input": {
    "guidance_scale": 3.5,
    "input_image": "https://replicate.delivery/pbxt/MqtrkwH9H0bCOMT7RtDAUJ44zIkuCW0sa1Lh03xg8pXH9r0q/pexels-murat-esibatir-360647-17430354.jpg",
    "lora_weight": 1,
    "num_inference_steps": 25,
    "prompt": "Ghibli Studio style, Charming hand-drawn anime-style illustration",
    "seed": -1
  },
  "logs": "Using seed: 1588765005\nApplying Ghibli LoRA from ./models/Ghibli.safetensors with weight 1.0\nLoading .safetensors checkpoint from ./models/Ghibli.safetensors\nLoaded input image from: /tmp/tmpd3u5zjsjpexels-murat-esibatir-360647-17430354.jpg with original size (3000, 2250)\nCalculated target dimensions: width=1024, height=768\nStarting image generation with target size 1024x768...\n<PIL.Image.Image image mode=RGB size=3000x2250 at 0x7D6E541B0790>\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:14,  1.63it/s]\n  8%|▊         | 2/25 [00:01<00:11,  1.98it/s]\n 12%|█▏        | 3/25 [00:01<00:11,  1.85it/s]\n 16%|█▌        | 4/25 [00:02<00:11,  1.80it/s]\n 20%|██        | 5/25 [00:02<00:11,  1.77it/s]\n 24%|██▍       | 6/25 [00:03<00:10,  1.76it/s]\n 28%|██▊       | 7/25 [00:03<00:10,  1.75it/s]\n 32%|███▏      | 8/25 [00:04<00:09,  1.74it/s]\n 36%|███▌      | 9/25 [00:05<00:09,  1.73it/s]\n 40%|████      | 10/25 [00:05<00:08,  1.73it/s]\n 44%|████▍     | 11/25 [00:06<00:08,  1.73it/s]\n 48%|████▊     | 12/25 [00:06<00:07,  1.73it/s]\n 52%|█████▏    | 13/25 [00:07<00:06,  1.73it/s]\n 56%|█████▌    | 14/25 [00:08<00:06,  1.73it/s]\n 60%|██████    | 15/25 [00:08<00:05,  1.73it/s]\n 64%|██████▍   | 16/25 [00:09<00:05,  1.73it/s]\n 68%|██████▊   | 17/25 [00:09<00:04,  1.73it/s]\n 72%|███████▏  | 18/25 [00:10<00:04,  1.73it/s]\n 76%|███████▌  | 19/25 [00:10<00:03,  1.72it/s]\n 80%|████████  | 20/25 [00:11<00:02,  1.72it/s]\n 84%|████████▍ | 21/25 [00:12<00:02,  1.73it/s]\n 88%|████████▊ | 22/25 [00:12<00:01,  1.72it/s]\n 92%|█████████▏| 23/25 [00:13<00:01,  1.72it/s]\n 96%|█████████▌| 24/25 [00:13<00:00,  1.72it/s]\n100%|██████████| 25/25 [00:14<00:00,  1.72it/s]\n100%|██████████| 25/25 [00:14<00:00,  1.74it/s]\nImage generation took 14.97 seconds.\nLoRA unset and cache cleared.\nImage saved to ./outputs/c102aa3e-adb8-4692-a54d-a47bfba2dd95.png",
  "output": "https://replicate.delivery/xezq/tneOiv7pXeri8U4HVb00icfLHyJHSLOgm4XDARCydOfz6kOSB/c102aa3e-adb8-4692-a54d-a47bfba2dd95.png",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-04-17T11:10:20.931Z",
  "started_at": "2025-04-17T11:10:20.939212Z",
  "completed_at": "2025-04-17T11:10:36.452905Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/s2qsw1ad0drme0cp8drtfjrtg8/cancel",
    "get": "https://api.replicate.com/v1/predictions/s2qsw1ad0drme0cp8drtfjrtg8",
    "stream": "https://stream.replicate.com/v1/files/bcwr-ctczobbgcp4j73tpjanv4g3m6ipo5vijrpqdrkxnnayoj3ufwasa",
    "web": "https://replicate.com/p/s2qsw1ad0drme0cp8drtfjrtg8"
  },
  "metrics": {
    "predict_time": 15.513693281,
    "total_time": 15.521905
  }
}

Generated in

15.5 seconds

Tweak it Report

Using seed: 1588765005 Applying Ghibli LoRA from ./models/Ghibli.safetensors with weight 1.0 Loading .safetensors checkpoint from ./models/Ghibli.safetensors Loaded input image from: /tmp/tmpd3u5zjsjpexels-murat-esibatir-360647-17430354.jpg with original size (3000, 2250) Calculated target dimensions: width=1024, height=768 Starting image generation with target size 1024x768... <PIL.Image.Image image mode=RGB size=3000x2250 at 0x7D6E541B0790> 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:14, 1.63it/s] 8%|▊ | 2/25 [00:01<00:11, 1.98it/s] 12%|█▏ | 3/25 [00:01<00:11, 1.85it/s] 16%|█▌ | 4/25 [00:02<00:11, 1.80it/s] 20%|██ | 5/25 [00:02<00:11, 1.77it/s] 24%|██▍ | 6/25 [00:03<00:10, 1.76it/s] 28%|██▊ | 7/25 [00:03<00:10, 1.75it/s] 32%|███▏ | 8/25 [00:04<00:09, 1.74it/s] 36%|███▌ | 9/25 [00:05<00:09, 1.73it/s] 40%|████ | 10/25 [00:05<00:08, 1.73it/s] 44%|████▍ | 11/25 [00:06<00:08, 1.73it/s] 48%|████▊ | 12/25 [00:06<00:07, 1.73it/s] 52%|█████▏ | 13/25 [00:07<00:06, 1.73it/s] 56%|█████▌ | 14/25 [00:08<00:06, 1.73it/s] 60%|██████ | 15/25 [00:08<00:05, 1.73it/s] 64%|██████▍ | 16/25 [00:09<00:05, 1.73it/s] 68%|██████▊ | 17/25 [00:09<00:04, 1.73it/s] 72%|███████▏ | 18/25 [00:10<00:04, 1.73it/s] 76%|███████▌ | 19/25 [00:10<00:03, 1.72it/s] 80%|████████ | 20/25 [00:11<00:02, 1.72it/s] 84%|████████▍ | 21/25 [00:12<00:02, 1.73it/s] 88%|████████▊ | 22/25 [00:12<00:01, 1.72it/s] 92%|█████████▏| 23/25 [00:13<00:01, 1.72it/s] 96%|█████████▌| 24/25 [00:13<00:00, 1.72it/s] 100%|██████████| 25/25 [00:14<00:00, 1.72it/s] 100%|██████████| 25/25 [00:14<00:00, 1.74it/s] Image generation took 14.97 seconds. LoRA unset and cache cleared. Image saved to ./outputs/c102aa3e-adb8-4692-a54d-a47bfba2dd95.png