levelsio / disposable-camera

Take photos with a disposable camera. Like this? Use this with yourself in it on my app PhotoAI.com

Warm

Public
17.9K runs
H100
Paper
License

Run with an API

Playground API Examples README Versions

Prediction

levelsio/disposable-camera:4c851c9c

Model

levelsio/disposable-camera:4c851c9c

3bperc739hrm20chqhz9ttkp2c

Status

Succeeded

Source

Web

Hardware

H100

Total duration

49.6s

Created

7 months ago

Input

model: dev
prompt: photo in the style of STL
lora_scale: 1
num_outputs: 4
aspect_ratio: 16:9
output_format: webp
guidance_scale: 3.5
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 0.8
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "photo in the style of STL",
  "lora_scale": 1,
  "num_outputs": 4,
  "aspect_ratio": "16:9",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 0.8,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

Set 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 levelsio/disposable-camera using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "levelsio/disposable-camera:4c851c9ca3c1167df599c400a277dc2b20b0ad166afc5c5d691e5bb64c46c254",
  {
    input: {
      model: "dev",
      prompt: "photo in the style of STL",
      lora_scale: 1,
      num_outputs: 4,
      aspect_ratio: "16:9",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 0.8,
      num_inference_steps: 28
    }
  }
);
console.log(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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run levelsio/disposable-camera using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "levelsio/disposable-camera:4c851c9ca3c1167df599c400a277dc2b20b0ad166afc5c5d691e5bb64c46c254",
    input={
        "model": "dev",
        "prompt": "photo in the style of STL",
        "lora_scale": 1,
        "num_outputs": 4,
        "aspect_ratio": "16:9",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 0.8,
        "num_inference_steps": 28
    }
)
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 levelsio/disposable-camera 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": "4c851c9ca3c1167df599c400a277dc2b20b0ad166afc5c5d691e5bb64c46c254",
    "input": {
      "model": "dev",
      "prompt": "photo in the style of STL",
      "lora_scale": 1,
      "num_outputs": 4,
      "aspect_ratio": "16:9",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 0.8,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-09-04T10:06:07.674083Z",
  "created_at": "2024-09-04T10:05:18.028000Z",
  "data_removed": false,
  "error": null,
  "id": "3bperc739hrm20chqhz9ttkp2c",
  "input": {
    "model": "dev",
    "prompt": "photo in the style of STL",
    "lora_scale": 1,
    "num_outputs": 4,
    "aspect_ratio": "16:9",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 18715\nPrompt: photo in the style of STL\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 18.69s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:28,  1.05s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.08it/s]\n 11%|█         | 3/28 [00:02<00:24,  1.02it/s]\n 14%|█▍        | 4/28 [00:03<00:24,  1.01s/it]\n 18%|█▊        | 5/28 [00:05<00:23,  1.03s/it]\n 21%|██▏       | 6/28 [00:06<00:22,  1.04s/it]\n 25%|██▌       | 7/28 [00:07<00:21,  1.04s/it]\n 29%|██▊       | 8/28 [00:08<00:20,  1.05s/it]\n 32%|███▏      | 9/28 [00:09<00:19,  1.05s/it]\n 36%|███▌      | 10/28 [00:10<00:18,  1.05s/it]\n 39%|███▉      | 11/28 [00:11<00:17,  1.06s/it]\n 43%|████▎     | 12/28 [00:12<00:16,  1.06s/it]\n 46%|████▋     | 13/28 [00:13<00:15,  1.06s/it]\n 50%|█████     | 14/28 [00:14<00:14,  1.05s/it]\n 54%|█████▎    | 15/28 [00:15<00:13,  1.05s/it]\n 57%|█████▋    | 16/28 [00:16<00:12,  1.05s/it]\n 61%|██████    | 17/28 [00:17<00:11,  1.05s/it]\n 64%|██████▍   | 18/28 [00:18<00:10,  1.05s/it]\n 68%|██████▊   | 19/28 [00:19<00:09,  1.05s/it]\n 71%|███████▏  | 20/28 [00:20<00:08,  1.05s/it]\n 75%|███████▌  | 21/28 [00:21<00:07,  1.05s/it]\n 79%|███████▊  | 22/28 [00:22<00:06,  1.05s/it]\n 82%|████████▏ | 23/28 [00:24<00:05,  1.05s/it]\n 86%|████████▌ | 24/28 [00:25<00:04,  1.05s/it]\n 89%|████████▉ | 25/28 [00:26<00:03,  1.05s/it]\n 93%|█████████▎| 26/28 [00:27<00:02,  1.05s/it]\n 96%|█████████▋| 27/28 [00:28<00:01,  1.05s/it]\n100%|██████████| 28/28 [00:29<00:00,  1.05s/it]\n100%|██████████| 28/28 [00:29<00:00,  1.05s/it]",
  "metrics": {
    "predict_time": 49.637044495,
    "total_time": 49.646083
  },
  "output": [
    "https://replicate.delivery/yhqm/s6HNq69yJG70KBQK2iTeJYx1ehYNfe1uHJ44RVPABEh8w4lNB/out-0.webp",
    "https://replicate.delivery/yhqm/zutUObjtM45eCSQkqiNfGL9ZqD1OUDgDovBOtFW5RQWPMeymA/out-1.webp",
    "https://replicate.delivery/yhqm/POSPY8NdghqNIRWda5TPyZUVcWCtcUSbWteeaRp2Gx0PMeymA/out-2.webp",
    "https://replicate.delivery/yhqm/vWG3QWQbYjaKMBp1qTNHhQpUpgunFw98qhqb3rZfoMkHGvsJA/out-3.webp"
  ],
  "started_at": "2024-09-04T10:05:18.037039Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3bperc739hrm20chqhz9ttkp2c",
    "cancel": "https://api.replicate.com/v1/predictions/3bperc739hrm20chqhz9ttkp2c/cancel"
  },
  "version": "4c851c9ca3c1167df599c400a277dc2b20b0ad166afc5c5d691e5bb64c46c254"
}

Generated in

49.6 seconds

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