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danila013 /ghibli-easycontrol:f74e8ded
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=danila013/ghibli-easycontrol
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet 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 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: {
seed: -1,
prompt: "Ghibli Studio style, Charming hand-drawn anime-style illustration",
input_image: "https://replicate.delivery/pbxt/MqtnzqdpB6rxXM7nzTecxEV3ROQopNhwpHDIIrDVgQAxdTLf/pexels-augustocarneirojr-30861477.jpg",
lora_weight: 1,
guidance_scale: 3.5,
num_inference_steps: 25
}
}
);
// 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 replicateSet 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 replicateRun 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={
"seed": -1,
"prompt": "Ghibli Studio style, Charming hand-drawn anime-style illustration",
"input_image": "https://replicate.delivery/pbxt/MqtnzqdpB6rxXM7nzTecxEV3ROQopNhwpHDIIrDVgQAxdTLf/pexels-augustocarneirojr-30861477.jpg",
"lora_weight": 1,
"guidance_scale": 3.5,
"num_inference_steps": 25
}
)
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 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": {
"seed": -1,
"prompt": "Ghibli Studio style, Charming hand-drawn anime-style illustration",
"input_image": "https://replicate.delivery/pbxt/MqtnzqdpB6rxXM7nzTecxEV3ROQopNhwpHDIIrDVgQAxdTLf/pexels-augustocarneirojr-30861477.jpg",
"lora_weight": 1,
"guidance_scale": 3.5,
"num_inference_steps": 25
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
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Output
{
"completed_at": "2025-04-17T11:08:17.290282Z",
"created_at": "2025-04-17T11:06:24.472000Z",
"data_removed": false,
"error": null,
"id": "z5d97d5hb1rma0cp8dpv8w65s8",
"input": {
"seed": -1,
"prompt": "Ghibli Studio style, Charming hand-drawn anime-style illustration",
"input_image": "https://replicate.delivery/pbxt/MqtnzqdpB6rxXM7nzTecxEV3ROQopNhwpHDIIrDVgQAxdTLf/pexels-augustocarneirojr-30861477.jpg",
"lora_weight": 1,
"guidance_scale": 3.5,
"num_inference_steps": 25
},
"logs": "Using seed: 2647522501\nApplying Ghibli LoRA from ./models/Ghibli.safetensors with weight 1.0\nLoading .safetensors checkpoint from ./models/Ghibli.safetensors\nLoaded input image from: /tmp/tmplau6ad5dpexels-augustocarneirojr-30861477.jpg with original size (6144, 8192)\nCalculated target dimensions: width=768, height=1024\nStarting image generation with target size 768x1024...\n<PIL.Image.Image image mode=RGB size=6144x8192 at 0x7D6E453BEB30>\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:14, 1.65it/s]\n 8%|▊ | 2/25 [00:01<00:11, 2.00it/s]\n 12%|█▏ | 3/25 [00:01<00:11, 1.88it/s]\n 16%|█▌ | 4/25 [00:02<00:11, 1.83it/s]\n 20%|██ | 5/25 [00:02<00:11, 1.80it/s]\n 24%|██▍ | 6/25 [00:03<00:10, 1.79it/s]\n 28%|██▊ | 7/25 [00:03<00:10, 1.78it/s]\n 32%|███▏ | 8/25 [00:04<00:09, 1.77it/s]\n 36%|███▌ | 9/25 [00:05<00:09, 1.76it/s]\n 40%|████ | 10/25 [00:05<00:08, 1.76it/s]\n 44%|████▍ | 11/25 [00:06<00:07, 1.76it/s]\n 48%|████▊ | 12/25 [00:06<00:07, 1.76it/s]\n 52%|█████▏ | 13/25 [00:07<00:06, 1.76it/s]\n 56%|█████▌ | 14/25 [00:07<00:06, 1.76it/s]\n 60%|██████ | 15/25 [00:08<00:05, 1.75it/s]\n 64%|██████▍ | 16/25 [00:09<00:05, 1.75it/s]\n 68%|██████▊ | 17/25 [00:09<00:04, 1.75it/s]\n 72%|███████▏ | 18/25 [00:10<00:03, 1.75it/s]\n 76%|███████▌ | 19/25 [00:10<00:03, 1.75it/s]\n 80%|████████ | 20/25 [00:11<00:02, 1.75it/s]\n 84%|████████▍ | 21/25 [00:11<00:02, 1.75it/s]\n 88%|████████▊ | 22/25 [00:12<00:01, 1.75it/s]\n 92%|█████████▏| 23/25 [00:13<00:01, 1.75it/s]\n 96%|█████████▌| 24/25 [00:13<00:00, 1.75it/s]\n100%|██████████| 25/25 [00:14<00:00, 1.75it/s]\n100%|██████████| 25/25 [00:14<00:00, 1.77it/s]\nImage generation took 15.43 seconds.\nLoRA unset and cache cleared.\nImage saved to ./outputs/3428c51c-ddb0-46f0-8ec9-012f8524fd46.png",
"metrics": {
"predict_time": 16.420954936,
"total_time": 112.818282
},
"output": "https://replicate.delivery/xezq/UHNfsza3JWz0cCe2O0meG7DblpTbHjfdXwE7Y4m7iRvFykOSB/3428c51c-ddb0-46f0-8ec9-012f8524fd46.png",
"started_at": "2025-04-17T11:08:00.869327Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-budjtsfbyt32hzc3cxq5egq2cwjo65hlti4b6lpmu4fuahzga36a",
"get": "https://api.replicate.com/v1/predictions/z5d97d5hb1rma0cp8dpv8w65s8",
"cancel": "https://api.replicate.com/v1/predictions/z5d97d5hb1rma0cp8dpv8w65s8/cancel"
},
"version": "f74e8dedd3ac3bc9e9d992fec9a12d62639e6f9bfc5bbf00a1edcca29673da66"
}Generated in
Using seed: 2647522501
Applying Ghibli LoRA from ./models/Ghibli.safetensors with weight 1.0
Loading .safetensors checkpoint from ./models/Ghibli.safetensors
Loaded input image from: /tmp/tmplau6ad5dpexels-augustocarneirojr-30861477.jpg with original size (6144, 8192)
Calculated target dimensions: width=768, height=1024
Starting image generation with target size 768x1024...
<PIL.Image.Image image mode=RGB size=6144x8192 at 0x7D6E453BEB30>
0%| | 0/25 [00:00<?, ?it/s]
4%|▍ | 1/25 [00:00<00:14, 1.65it/s]
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12%|█▏ | 3/25 [00:01<00:11, 1.88it/s]
16%|█▌ | 4/25 [00:02<00:11, 1.83it/s]
20%|██ | 5/25 [00:02<00:11, 1.80it/s]
24%|██▍ | 6/25 [00:03<00:10, 1.79it/s]
28%|██▊ | 7/25 [00:03<00:10, 1.78it/s]
32%|███▏ | 8/25 [00:04<00:09, 1.77it/s]
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60%|██████ | 15/25 [00:08<00:05, 1.75it/s]
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96%|█████████▌| 24/25 [00:13<00:00, 1.75it/s]
100%|██████████| 25/25 [00:14<00:00, 1.75it/s]
100%|██████████| 25/25 [00:14<00:00, 1.77it/s]
Image generation took 15.43 seconds.
LoRA unset and cache cleared.
Image saved to ./outputs/3428c51c-ddb0-46f0-8ec9-012f8524fd46.png