Prediction

Model

the-arty-shock/oldvideocamera2:4e711057

qqg7tdfxp9rm40cjebbszns0vg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

51.4s

Created

about 1 year ago

Webhook

–

Input

prompt: a studio product shot of an OLDVIDEOCAMERA_2 on a white-grey background with a top soft light.
aspect_ratio: 2:3
prompt_strength: 1
model: dev
num_outputs: 3
num_inference_steps: 50
guidance_scale: 3.5
output_format: png
output_quality: 90
lora_scale: 1
extra_lora_scale: 1

{
  "aspect_ratio": "2:3",
  "extra_lora_scale": 1,
  "guidance_scale": 3.5,
  "lora_scale": 1,
  "model": "dev",
  "num_inference_steps": 50,
  "num_outputs": 3,
  "output_format": "png",
  "output_quality": 90,
  "prompt": "a studio product shot of an OLDVIDEOCAMERA_2 on a white-grey background with a top soft light.",
  "prompt_strength": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_SDr**********************************

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 the-arty-shock/oldvideocamera2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "the-arty-shock/oldvideocamera2:4e711057acb2abf46eb2e10f0fe6c8be649ef94777c3170c00cf7531ddb89050",
  {
    input: {
      aspect_ratio: "2:3",
      extra_lora_scale: 1,
      guidance_scale: 3.5,
      lora_scale: 1,
      model: "dev",
      num_inference_steps: 50,
      num_outputs: 3,
      output_format: "png",
      output_quality: 90,
      prompt: "a studio product shot of an OLDVIDEOCAMERA_2 on a white-grey background with a top soft light.",
      prompt_strength: 1
    }
  }
);

// 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_SDr**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run the-arty-shock/oldvideocamera2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "the-arty-shock/oldvideocamera2:4e711057acb2abf46eb2e10f0fe6c8be649ef94777c3170c00cf7531ddb89050",
    input={
        "aspect_ratio": "2:3",
        "extra_lora_scale": 1,
        "guidance_scale": 3.5,
        "lora_scale": 1,
        "model": "dev",
        "num_inference_steps": 50,
        "num_outputs": 3,
        "output_format": "png",
        "output_quality": 90,
        "prompt": "a studio product shot of an OLDVIDEOCAMERA_2 on a white-grey background with a top soft light.",
        "prompt_strength": 1
    }
)

# 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_SDr**********************************

This is your API token. Keep it to yourself.

Run the-arty-shock/oldvideocamera2 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": "the-arty-shock/oldvideocamera2:4e711057acb2abf46eb2e10f0fe6c8be649ef94777c3170c00cf7531ddb89050",
    "input": {
      "aspect_ratio": "2:3",
      "extra_lora_scale": 1,
      "guidance_scale": 3.5,
      "lora_scale": 1,
      "model": "dev",
      "num_inference_steps": 50,
      "num_outputs": 3,
      "output_format": "png",
      "output_quality": 90,
      "prompt": "a studio product shot of an OLDVIDEOCAMERA_2 on a white-grey background with a top soft light.",
      "prompt_strength": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "qqg7tdfxp9rm40cjebbszns0vg",
  "model": "the-arty-shock/oldvideocamera2",
  "version": "4e711057acb2abf46eb2e10f0fe6c8be649ef94777c3170c00cf7531ddb89050",
  "input": {
    "aspect_ratio": "2:3",
    "extra_lora_scale": 1,
    "guidance_scale": 3.5,
    "lora_scale": 1,
    "model": "dev",
    "num_inference_steps": 50,
    "num_outputs": 3,
    "output_format": "png",
    "output_quality": 90,
    "prompt": "a studio product shot of an OLDVIDEOCAMERA_2 on a white-grey background with a top soft light.",
    "prompt_strength": 1
  },
  "logs": "Using seed: 51787\nPrompt: a studio product shot of an OLDVIDEOCAMERA_2 on a white-grey background with a top soft light.\n[!] txt2img mode\nUsing dev model\nfree=6732086411264\nDownloading weights\n2024-10-09T19:53:30Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpsdsmq1bz/weights url=https://replicate.delivery/yhqm/E7Yf15m3VXTqJqD8o5f5q6h9hFr3Sb0veiYQbYsoJOAApKKnA/trained_model.tar\n2024-10-09T19:53:32Z | INFO  | [ Complete ] dest=/tmp/tmpsdsmq1bz/weights size=\"344 MB\" total_elapsed=1.809s url=https://replicate.delivery/yhqm/E7Yf15m3VXTqJqD8o5f5q6h9hFr3Sb0veiYQbYsoJOAApKKnA/trained_model.tar\nDownloaded weights in 1.85s\nLoaded LoRAs in 2.46s\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:46,  1.06it/s]\n  4%|▍         | 2/50 [00:01<00:40,  1.18it/s]\n  6%|▌         | 3/50 [00:02<00:41,  1.12it/s]\n  8%|▊         | 4/50 [00:03<00:42,  1.10it/s]\n 10%|█         | 5/50 [00:04<00:41,  1.08it/s]\n 12%|█▏        | 6/50 [00:05<00:41,  1.07it/s]\n 14%|█▍        | 7/50 [00:06<00:40,  1.07it/s]\n 16%|█▌        | 8/50 [00:07<00:39,  1.06it/s]\n 18%|█▊        | 9/50 [00:08<00:38,  1.06it/s]\n 20%|██        | 10/50 [00:09<00:37,  1.06it/s]\n 22%|██▏       | 11/50 [00:10<00:36,  1.06it/s]\n 24%|██▍       | 12/50 [00:11<00:35,  1.06it/s]\n 26%|██▌       | 13/50 [00:12<00:34,  1.06it/s]\n 28%|██▊       | 14/50 [00:13<00:34,  1.06it/s]\n 30%|███       | 15/50 [00:14<00:33,  1.06it/s]\n 32%|███▏      | 16/50 [00:14<00:32,  1.06it/s]\n 34%|███▍      | 17/50 [00:15<00:31,  1.06it/s]\n 36%|███▌      | 18/50 [00:16<00:30,  1.06it/s]\n 38%|███▊      | 19/50 [00:17<00:29,  1.06it/s]\n 40%|████      | 20/50 [00:18<00:28,  1.06it/s]\n 42%|████▏     | 21/50 [00:19<00:27,  1.06it/s]\n 44%|████▍     | 22/50 [00:20<00:26,  1.06it/s]\n 46%|████▌     | 23/50 [00:21<00:25,  1.06it/s]\n 48%|████▊     | 24/50 [00:22<00:24,  1.06it/s]\n 50%|█████     | 25/50 [00:23<00:23,  1.06it/s]\n 52%|█████▏    | 26/50 [00:24<00:22,  1.06it/s]\n 54%|█████▍    | 27/50 [00:25<00:21,  1.06it/s]\n 56%|█████▌    | 28/50 [00:26<00:20,  1.06it/s]\n 58%|█████▊    | 29/50 [00:27<00:19,  1.06it/s]\n 60%|██████    | 30/50 [00:28<00:18,  1.06it/s]\n 62%|██████▏   | 31/50 [00:29<00:17,  1.06it/s]\n 64%|██████▍   | 32/50 [00:30<00:17,  1.06it/s]\n 66%|██████▌   | 33/50 [00:31<00:16,  1.06it/s]\n 68%|██████▊   | 34/50 [00:31<00:15,  1.06it/s]\n 70%|███████   | 35/50 [00:32<00:14,  1.06it/s]\n 72%|███████▏  | 36/50 [00:33<00:13,  1.06it/s]\n 74%|███████▍  | 37/50 [00:34<00:12,  1.06it/s]\n 76%|███████▌  | 38/50 [00:35<00:11,  1.06it/s]\n 78%|███████▊  | 39/50 [00:36<00:10,  1.06it/s]\n 80%|████████  | 40/50 [00:37<00:09,  1.06it/s]\n 82%|████████▏ | 41/50 [00:38<00:08,  1.06it/s]\n 84%|████████▍ | 42/50 [00:39<00:07,  1.06it/s]\n 86%|████████▌ | 43/50 [00:40<00:06,  1.06it/s]\n 88%|████████▊ | 44/50 [00:41<00:05,  1.06it/s]\n 90%|█████████ | 45/50 [00:42<00:04,  1.06it/s]\n 92%|█████████▏| 46/50 [00:43<00:03,  1.06it/s]\n 94%|█████████▍| 47/50 [00:44<00:02,  1.06it/s]\n 96%|█████████▌| 48/50 [00:45<00:01,  1.06it/s]\n 98%|█████████▊| 49/50 [00:46<00:00,  1.06it/s]\n100%|██████████| 50/50 [00:47<00:00,  1.06it/s]\n100%|██████████| 50/50 [00:47<00:00,  1.06it/s]",
  "output": [
    "https://replicate.delivery/yhqm/SgUnHxX7GIKHG1bBtcR9yQRbDjf8vzMId2KDdJO0oVH3ikyJA/out-0.png",
    "https://replicate.delivery/yhqm/MT4csrNQTqKqOhLXaOeYk4hCdNfD05puXexfsmg3jgF7WkUOB/out-1.png",
    "https://replicate.delivery/yhqm/wjkTZfoZnG1sECuAf0yIkRI40fctjrRN7X014pfmeXt1tIpcC/out-2.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-10-09T19:53:30.802Z",
  "started_at": "2024-10-09T19:53:30.81357Z",
  "completed_at": "2024-10-09T19:54:22.153745Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/qqg7tdfxp9rm40cjebbszns0vg/cancel",
    "get": "https://api.replicate.com/v1/predictions/qqg7tdfxp9rm40cjebbszns0vg",
    "web": "https://replicate.com/p/qqg7tdfxp9rm40cjebbszns0vg"
  },
  "metrics": {
    "predict_time": 51.340174847,
    "total_time": 51.351745
  }
}

Generated in

51.4 seconds

Tweak it Report

Using seed: 51787 Prompt: a studio product shot of an OLDVIDEOCAMERA_2 on a white-grey background with a top soft light. [!] txt2img mode Using dev model free=6732086411264 Downloading weights 2024-10-09T19:53:30Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpsdsmq1bz/weights url=https://replicate.delivery/yhqm/E7Yf15m3VXTqJqD8o5f5q6h9hFr3Sb0veiYQbYsoJOAApKKnA/trained_model.tar 2024-10-09T19:53:32Z | INFO | [ Complete ] dest=/tmp/tmpsdsmq1bz/weights size="344 MB" total_elapsed=1.809s url=https://replicate.delivery/yhqm/E7Yf15m3VXTqJqD8o5f5q6h9hFr3Sb0veiYQbYsoJOAApKKnA/trained_model.tar Downloaded weights in 1.85s Loaded LoRAs in 2.46s 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:46, 1.06it/s] 4%|▍ | 2/50 [00:01<00:40, 1.18it/s] 6%|▌ | 3/50 [00:02<00:41, 1.12it/s] 8%|▊ | 4/50 [00:03<00:42, 1.10it/s] 10%|█ | 5/50 [00:04<00:41, 1.08it/s] 12%|█▏ | 6/50 [00:05<00:41, 1.07it/s] 14%|█▍ | 7/50 [00:06<00:40, 1.07it/s] 16%|█▌ | 8/50 [00:07<00:39, 1.06it/s] 18%|█▊ | 9/50 [00:08<00:38, 1.06it/s] 20%|██ | 10/50 [00:09<00:37, 1.06it/s] 22%|██▏ | 11/50 [00:10<00:36, 1.06it/s] 24%|██▍ | 12/50 [00:11<00:35, 1.06it/s] 26%|██▌ | 13/50 [00:12<00:34, 1.06it/s] 28%|██▊ | 14/50 [00:13<00:34, 1.06it/s] 30%|███ | 15/50 [00:14<00:33, 1.06it/s] 32%|███▏ | 16/50 [00:14<00:32, 1.06it/s] 34%|███▍ | 17/50 [00:15<00:31, 1.06it/s] 36%|███▌ | 18/50 [00:16<00:30, 1.06it/s] 38%|███▊ | 19/50 [00:17<00:29, 1.06it/s] 40%|████ | 20/50 [00:18<00:28, 1.06it/s] 42%|████▏ | 21/50 [00:19<00:27, 1.06it/s] 44%|████▍ | 22/50 [00:20<00:26, 1.06it/s] 46%|████▌ | 23/50 [00:21<00:25, 1.06it/s] 48%|████▊ | 24/50 [00:22<00:24, 1.06it/s] 50%|█████ | 25/50 [00:23<00:23, 1.06it/s] 52%|█████▏ | 26/50 [00:24<00:22, 1.06it/s] 54%|█████▍ | 27/50 [00:25<00:21, 1.06it/s] 56%|█████▌ | 28/50 [00:26<00:20, 1.06it/s] 58%|█████▊ | 29/50 [00:27<00:19, 1.06it/s] 60%|██████ | 30/50 [00:28<00:18, 1.06it/s] 62%|██████▏ | 31/50 [00:29<00:17, 1.06it/s] 64%|██████▍ | 32/50 [00:30<00:17, 1.06it/s] 66%|██████▌ | 33/50 [00:31<00:16, 1.06it/s] 68%|██████▊ | 34/50 [00:31<00:15, 1.06it/s] 70%|███████ | 35/50 [00:32<00:14, 1.06it/s] 72%|███████▏ | 36/50 [00:33<00:13, 1.06it/s] 74%|███████▍ | 37/50 [00:34<00:12, 1.06it/s] 76%|███████▌ | 38/50 [00:35<00:11, 1.06it/s] 78%|███████▊ | 39/50 [00:36<00:10, 1.06it/s] 80%|████████ | 40/50 [00:37<00:09, 1.06it/s] 82%|████████▏ | 41/50 [00:38<00:08, 1.06it/s] 84%|████████▍ | 42/50 [00:39<00:07, 1.06it/s] 86%|████████▌ | 43/50 [00:40<00:06, 1.06it/s] 88%|████████▊ | 44/50 [00:41<00:05, 1.06it/s] 90%|█████████ | 45/50 [00:42<00:04, 1.06it/s] 92%|█████████▏| 46/50 [00:43<00:03, 1.06it/s] 94%|█████████▍| 47/50 [00:44<00:02, 1.06it/s] 96%|█████████▌| 48/50 [00:45<00:01, 1.06it/s] 98%|█████████▊| 49/50 [00:46<00:00, 1.06it/s] 100%|██████████| 50/50 [00:47<00:00, 1.06it/s] 100%|██████████| 50/50 [00:47<00:00, 1.06it/s]