visoar / hipng

ping
seed: -1
steps: 25
width: 1024
height: 1024
prompt: rabbit, abstract geometric shapes, transparent background, high contrast, clean edges, sharp details,colorful
num_samples: 1
guidance_scale: 3.5
negative_prompt: bad, ugly
is_animated_lora

{
  "ping": false,
  "seed": -1,
  "steps": 25,
  "width": 1024,
  "height": 1024,
  "prompt": "rabbit, abstract geometric shapes, transparent background, high contrast, clean edges, sharp details,colorful",
  "num_samples": 1,
  "guidance_scale": 3.5,
  "negative_prompt": "bad, ugly",
  "is_animated_lora": true
}

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 visoar/hipng using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "visoar/hipng:0a33482a8bb06e954f16a3bc081bb5a7e5652fb5662241938e420f9031847684",
  {
    input: {
      ping: false,
      seed: -1,
      steps: 25,
      width: 1024,
      height: 1024,
      prompt: "rabbit, abstract geometric shapes, transparent background, high contrast, clean edges, sharp details,colorful",
      num_samples: 1,
      guidance_scale: 3.5,
      negative_prompt: "bad, ugly",
      is_animated_lora: true
    }
  }
);

// 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 visoar/hipng using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "visoar/hipng:0a33482a8bb06e954f16a3bc081bb5a7e5652fb5662241938e420f9031847684",
    input={
        "ping": False,
        "seed": -1,
        "steps": 25,
        "width": 1024,
        "height": 1024,
        "prompt": "rabbit, abstract geometric shapes, transparent background, high contrast, clean edges, sharp details,colorful",
        "num_samples": 1,
        "guidance_scale": 3.5,
        "negative_prompt": "bad, ugly",
        "is_animated_lora": True
    }
)
print(output)

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

Run visoar/hipng 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": "visoar/hipng:0a33482a8bb06e954f16a3bc081bb5a7e5652fb5662241938e420f9031847684",
    "input": {
      "ping": false,
      "seed": -1,
      "steps": 25,
      "width": 1024,
      "height": 1024,
      "prompt": "rabbit, abstract geometric shapes, transparent background, high contrast, clean edges, sharp details,colorful",
      "num_samples": 1,
      "guidance_scale": 3.5,
      "negative_prompt": "bad, ugly",
      "is_animated_lora": true
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-03-10T10:08:11.705166Z",
  "created_at": "2025-03-10T10:08:07.307000Z",
  "data_removed": false,
  "error": null,
  "id": "pr8b8qxchdrm80cnfy39hk1wkr",
  "input": {
    "ping": false,
    "seed": -1,
    "steps": 25,
    "width": 1024,
    "height": 1024,
    "prompt": "rabbit, abstract geometric shapes, transparent background, high contrast, clean edges, sharp details,colorful",
    "num_samples": 1,
    "guidance_scale": 3.5,
    "negative_prompt": "bad, ugly",
    "is_animated_lora": true
  },
  "logs": "Using animated model\nargs: {'prompt': 'rabbit, abstract geometric shapes, transparent background, high contrast, clean edges, sharp details,colorful', 'height': 1024, 'width': 1024, 'negative_prompt': 'bad, ugly', 'guidance_scale': 3.5, 'num_inference_steps': 25, 'num_images_per_prompt': 1, 'original_size': (4096, 4096), 'target_size': (1024, 1024), 'negative_original_size': (512, 512), 'negative_target_size': (512, 512)}\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:02,  8.83it/s]\n 12%|█▏        | 3/25 [00:00<00:02, 10.44it/s]\n 20%|██        | 5/25 [00:00<00:02,  9.32it/s]\n 24%|██▍       | 6/25 [00:00<00:02,  9.07it/s]\n 28%|██▊       | 7/25 [00:00<00:02,  8.92it/s]\n 32%|███▏      | 8/25 [00:00<00:01,  8.80it/s]\n 36%|███▌      | 9/25 [00:00<00:01,  8.72it/s]\n 40%|████      | 10/25 [00:01<00:01,  8.61it/s]\n 44%|████▍     | 11/25 [00:01<00:01,  8.63it/s]\n 48%|████▊     | 12/25 [00:01<00:01,  8.60it/s]\n 52%|█████▏    | 13/25 [00:01<00:01,  8.55it/s]\n 56%|█████▌    | 14/25 [00:01<00:01,  8.51it/s]\n 60%|██████    | 15/25 [00:01<00:01,  8.50it/s]\n 64%|██████▍   | 16/25 [00:01<00:01,  8.49it/s]\n 68%|██████▊   | 17/25 [00:01<00:00,  8.48it/s]\n 72%|███████▏  | 18/25 [00:02<00:00,  8.48it/s]\n 76%|███████▌  | 19/25 [00:02<00:00,  8.48it/s]\n 80%|████████  | 20/25 [00:02<00:00,  8.47it/s]\n 84%|████████▍ | 21/25 [00:02<00:00,  8.47it/s]\n 88%|████████▊ | 22/25 [00:02<00:00,  8.45it/s]\n 92%|█████████▏| 23/25 [00:02<00:00,  8.46it/s]\n 96%|█████████▌| 24/25 [00:02<00:00,  8.44it/s]\n100%|██████████| 25/25 [00:02<00:00,  8.42it/s]\n100%|██████████| 25/25 [00:02<00:00,  8.65it/s]\n  0%|          | 0/8 [00:00<?, ?it/s]\n 25%|██▌       | 2/8 [00:00<00:00, 16.47it/s]\n 50%|█████     | 4/8 [00:00<00:00, 10.99it/s]\n 75%|███████▌  | 6/8 [00:00<00:00, 10.48it/s]\n100%|██████████| 8/8 [00:00<00:00,  9.81it/s]\n100%|██████████| 8/8 [00:00<00:00, 10.37it/s]",
  "metrics": {
    "predict_time": 4.391379863,
    "total_time": 4.398166
  },
  "output": [
    "https://replicate.delivery/xezq/WWz4z5GTO6YTIpOguO7PlpqdUUfWUTnS0EakzRuiDH6FYjLKA/0000.png"
  ],
  "started_at": "2025-03-10T10:08:07.313786Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-f6scer4rvlpftdvxanujnuy7b3ippvsbudzm7x32ohzaq4qcb4va",
    "get": "https://api.replicate.com/v1/predictions/pr8b8qxchdrm80cnfy39hk1wkr",
    "cancel": "https://api.replicate.com/v1/predictions/pr8b8qxchdrm80cnfy39hk1wkr/cancel"
  },
  "version": "0a33482a8bb06e954f16a3bc081bb5a7e5652fb5662241938e420f9031847684"
}

Generated in

4.4 seconds

Tweak it ShareReport

Using animated model
args: {'prompt': 'rabbit, abstract geometric shapes, transparent background, high contrast, clean edges, sharp details,colorful', 'height': 1024, 'width': 1024, 'negative_prompt': 'bad, ugly', 'guidance_scale': 3.5, 'num_inference_steps': 25, 'num_images_per_prompt': 1, 'original_size': (4096, 4096), 'target_size': (1024, 1024), 'negative_original_size': (512, 512), 'negative_target_size': (512, 512)}
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