Prediction

Model

cloneofsimo/inkpunk_lora:d89bdb54

getff7cfwzek5ma5wzi22wrdji

Status

Succeeded

Source

Web

Hardware

–

Total duration

8.2s

Created

almost 3 years ago

Webhook

–

Input

prompt: a photo of <1>, nvinkpunk
width: 512
height: 512
num_outputs: 1
num_inference_steps: 35
guidance_scale: 4.02
scheduler: DPMSolverMultistep
lora_urls: https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors
lora_scales: 0.6

{
  "guidance_scale": "4.02",
  "height": 512,
  "lora_scales": "0.6",
  "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
  "num_inference_steps": "35",
  "num_outputs": 1,
  "prompt": "a photo of <1>, nvinkpunk",
  "scheduler": "DPMSolverMultistep",
  "width": 512
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Klg**********************************

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

const output = await replicate.run(
  "cloneofsimo/inkpunk_lora:d89bdb54b7cfe2fafe47bd00ede021a10c9487449bab8840414e0d3c49786f62",
  {
    input: {
      guidance_scale: "4.02",
      height: 512,
      lora_scales: "0.6",
      lora_urls: "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
      num_inference_steps: "35",
      num_outputs: 1,
      prompt: "a photo of <1>, nvinkpunk",
      scheduler: "DPMSolverMultistep",
      width: 512
    }
  }
);

// 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=r8_Klg**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "cloneofsimo/inkpunk_lora:d89bdb54b7cfe2fafe47bd00ede021a10c9487449bab8840414e0d3c49786f62",
    input={
        "guidance_scale": "4.02",
        "height": 512,
        "lora_scales": "0.6",
        "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
        "num_inference_steps": "35",
        "num_outputs": 1,
        "prompt": "a photo of <1>, nvinkpunk",
        "scheduler": "DPMSolverMultistep",
        "width": 512
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].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_Klg**********************************

This is your API token. Keep it to yourself.

Run cloneofsimo/inkpunk_lora 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": "cloneofsimo/inkpunk_lora:d89bdb54b7cfe2fafe47bd00ede021a10c9487449bab8840414e0d3c49786f62",
    "input": {
      "guidance_scale": "4.02",
      "height": 512,
      "lora_scales": "0.6",
      "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
      "num_inference_steps": "35",
      "num_outputs": 1,
      "prompt": "a photo of <1>, nvinkpunk",
      "scheduler": "DPMSolverMultistep",
      "width": 512
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "getff7cfwzek5ma5wzi22wrdji",
  "model": "cloneofsimo/inkpunk_lora",
  "version": "d89bdb54b7cfe2fafe47bd00ede021a10c9487449bab8840414e0d3c49786f62",
  "input": {
    "guidance_scale": "4.02",
    "height": 512,
    "lora_scales": "0.6",
    "lora_urls": "https://replicate.delivery/pbxt/IzbeguwVsW3PcC1gbiLy5SeALwk4sGgWroHagcYIn9I960bQA/tmpjlodd7vazekezip.safetensors",
    "num_inference_steps": "35",
    "num_outputs": 1,
    "prompt": "a photo of <1>, nvinkpunk",
    "scheduler": "DPMSolverMultistep",
    "width": 512
  },
  "logs": "Using seed: 45176\nThe requested LoRAs are loaded.\n  0%|          | 0/35 [00:00<?, ?it/s]\n  3%|▎         | 1/35 [00:00<00:08,  4.04it/s]\n  6%|▌         | 2/35 [00:00<00:07,  4.52it/s]\n  9%|▊         | 3/35 [00:00<00:06,  4.77it/s]\n 11%|█▏        | 4/35 [00:00<00:06,  4.89it/s]\n 14%|█▍        | 5/35 [00:01<00:06,  4.95it/s]\n 17%|█▋        | 6/35 [00:01<00:05,  4.96it/s]\n 20%|██        | 7/35 [00:01<00:05,  4.99it/s]\n 23%|██▎       | 8/35 [00:01<00:05,  5.02it/s]\n 26%|██▌       | 9/35 [00:01<00:05,  5.03it/s]\n 29%|██▊       | 10/35 [00:02<00:04,  5.03it/s]\n 31%|███▏      | 11/35 [00:02<00:04,  5.02it/s]\n 34%|███▍      | 12/35 [00:02<00:04,  5.03it/s]\n 37%|███▋      | 13/35 [00:02<00:04,  5.05it/s]\n 40%|████      | 14/35 [00:02<00:04,  5.05it/s]\n 43%|████▎     | 15/35 [00:03<00:03,  5.07it/s]\n 46%|████▌     | 16/35 [00:03<00:03,  5.05it/s]\n 49%|████▊     | 17/35 [00:03<00:03,  5.03it/s]\n 51%|█████▏    | 18/35 [00:03<00:03,  5.03it/s]\n 54%|█████▍    | 19/35 [00:03<00:03,  5.04it/s]\n 57%|█████▋    | 20/35 [00:04<00:02,  5.05it/s]\n 60%|██████    | 21/35 [00:04<00:02,  5.04it/s]\n 63%|██████▎   | 22/35 [00:04<00:02,  5.03it/s]\n 66%|██████▌   | 23/35 [00:04<00:02,  5.03it/s]\n 69%|██████▊   | 24/35 [00:04<00:02,  5.03it/s]\n 71%|███████▏  | 25/35 [00:05<00:01,  5.04it/s]\n 74%|███████▍  | 26/35 [00:05<00:01,  5.04it/s]\n 77%|███████▋  | 27/35 [00:05<00:01,  5.02it/s]\n 80%|████████  | 28/35 [00:05<00:01,  5.02it/s]\n 83%|████████▎ | 29/35 [00:05<00:01,  5.03it/s]\n 86%|████████▌ | 30/35 [00:05<00:00,  5.05it/s]\n 89%|████████▊ | 31/35 [00:06<00:00,  5.05it/s]\n 91%|█████████▏| 32/35 [00:06<00:00,  5.04it/s]\n 94%|█████████▍| 33/35 [00:06<00:00,  5.03it/s]\n 97%|█████████▋| 34/35 [00:06<00:00,  5.02it/s]\n100%|██████████| 35/35 [00:06<00:00,  5.04it/s]\n100%|██████████| 35/35 [00:06<00:00,  5.00it/s]",
  "output": [
    "https://replicate.delivery/pbxt/lBxnbTYCLYY9BJcIWnGoFmaHZIeiUm8tYRmew8E8As6ZEycQA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-02-09T22:09:21.901795Z",
  "started_at": "2023-02-09T22:09:21.967826Z",
  "completed_at": "2023-02-09T22:09:30.079551Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/getff7cfwzek5ma5wzi22wrdji/cancel",
    "get": "https://api.replicate.com/v1/predictions/getff7cfwzek5ma5wzi22wrdji"
  },
  "metrics": {
    "predict_time": 8.111725,
    "total_time": 8.177756
  }
}

Generated in

8.1 seconds

Tweak it Report

Using seed: 45176 The requested LoRAs are loaded. 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:08, 4.04it/s] 6%|▌ | 2/35 [00:00<00:07, 4.52it/s] 9%|▊ | 3/35 [00:00<00:06, 4.77it/s] 11%|█▏ | 4/35 [00:00<00:06, 4.89it/s] 14%|█▍ | 5/35 [00:01<00:06, 4.95it/s] 17%|█▋ | 6/35 [00:01<00:05, 4.96it/s] 20%|██ | 7/35 [00:01<00:05, 4.99it/s] 23%|██▎ | 8/35 [00:01<00:05, 5.02it/s] 26%|██▌ | 9/35 [00:01<00:05, 5.03it/s] 29%|██▊ | 10/35 [00:02<00:04, 5.03it/s] 31%|███▏ | 11/35 [00:02<00:04, 5.02it/s] 34%|███▍ | 12/35 [00:02<00:04, 5.03it/s] 37%|███▋ | 13/35 [00:02<00:04, 5.05it/s] 40%|████ | 14/35 [00:02<00:04, 5.05it/s] 43%|████▎ | 15/35 [00:03<00:03, 5.07it/s] 46%|████▌ | 16/35 [00:03<00:03, 5.05it/s] 49%|████▊ | 17/35 [00:03<00:03, 5.03it/s] 51%|█████▏ | 18/35 [00:03<00:03, 5.03it/s] 54%|█████▍ | 19/35 [00:03<00:03, 5.04it/s] 57%|█████▋ | 20/35 [00:04<00:02, 5.05it/s] 60%|██████ | 21/35 [00:04<00:02, 5.04it/s] 63%|██████▎ | 22/35 [00:04<00:02, 5.03it/s] 66%|██████▌ | 23/35 [00:04<00:02, 5.03it/s] 69%|██████▊ | 24/35 [00:04<00:02, 5.03it/s] 71%|███████▏ | 25/35 [00:05<00:01, 5.04it/s] 74%|███████▍ | 26/35 [00:05<00:01, 5.04it/s] 77%|███████▋ | 27/35 [00:05<00:01, 5.02it/s] 80%|████████ | 28/35 [00:05<00:01, 5.02it/s] 83%|████████▎ | 29/35 [00:05<00:01, 5.03it/s] 86%|████████▌ | 30/35 [00:05<00:00, 5.05it/s] 89%|████████▊ | 31/35 [00:06<00:00, 5.05it/s] 91%|█████████▏| 32/35 [00:06<00:00, 5.04it/s] 94%|█████████▍| 33/35 [00:06<00:00, 5.03it/s] 97%|█████████▋| 34/35 [00:06<00:00, 5.02it/s] 100%|██████████| 35/35 [00:06<00:00, 5.04it/s] 100%|██████████| 35/35 [00:06<00:00, 5.00it/s]