cjwbw/instructcv:3258454a – Run with an API on Replicate

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cjwbw /instructcv:3258454a

Playground API

Input

image

*file

Input image

instruction

*string

Shift + Return to add a new line

Provide an instruction outlining the specific vision task you wish InstructCV to perform

text_guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance. Higher guidance scale encourages to generate images that are closely linked to the text prompt, usually at the expense of lower image quality.

Default: 7.5

image_guidance_scale

number

(minimum: 1)

Image guidance scale is to push the generated image towards the inital image. Higher image guidance scale encourages to generate images that are closely linked to the source image, usually at the expense of lower image quality.

Default: 1.5

num_inference_steps

integer

(minimum: 1, maximum: 500)

The number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference.

Default: 50

seed

integer

Random seed. Leave blank to randomize the seed

Run this model in Node.js with one line of code:

npx create-replicate --model=cjwbw/instructcv

or set up a project from scratch

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

const output = await replicate.run(
  "cjwbw/instructcv:3258454a0f4011005f51886a8d2c4015d5ec146652f2a28f042e5cc7e4ef85b4",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JfcdSI8FbeMqfb8FcfqCf4NaxM6QMOfJ68vcKjxmqcs3SSey/istockphoto-515635357-612x612.jpg",
      instruction: "Detect the great dome",
      num_inference_steps: 50,
      text_guidance_scale: 7.5,
      image_guidance_scale: 1.5
    }
  }
);
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 cjwbw/instructcv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/instructcv:3258454a0f4011005f51886a8d2c4015d5ec146652f2a28f042e5cc7e4ef85b4",
    input={
        "image": "https://replicate.delivery/pbxt/JfcdSI8FbeMqfb8FcfqCf4NaxM6QMOfJ68vcKjxmqcs3SSey/istockphoto-515635357-612x612.jpg",
        "instruction": "Detect the great dome",
        "num_inference_steps": 50,
        "text_guidance_scale": 7.5,
        "image_guidance_scale": 1.5
    }
)
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 cjwbw/instructcv 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": "3258454a0f4011005f51886a8d2c4015d5ec146652f2a28f042e5cc7e4ef85b4",
    "input": {
      "image": "https://replicate.delivery/pbxt/JfcdSI8FbeMqfb8FcfqCf4NaxM6QMOfJ68vcKjxmqcs3SSey/istockphoto-515635357-612x612.jpg",
      "instruction": "Detect the great dome",
      "num_inference_steps": 50,
      "text_guidance_scale": 7.5,
      "image_guidance_scale": 1.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-10-09T16:26:00.620506Z",
  "created_at": "2023-10-09T16:25:56.560824Z",
  "data_removed": false,
  "error": null,
  "id": "yt5uvqdbhhzo3wjoellavpaklq",
  "input": {
    "image": "https://replicate.delivery/pbxt/JfcdSI8FbeMqfb8FcfqCf4NaxM6QMOfJ68vcKjxmqcs3SSey/istockphoto-515635357-612x612.jpg",
    "instruction": "Detect the great dome",
    "num_inference_steps": 50,
    "text_guidance_scale": 7.5,
    "image_guidance_scale": 1.5
  },
  "logs": "Using seed: 29637\n  0%|          | 0/50 [00:00<?, ?it/s]\n  4%|▍         | 2/50 [00:00<00:03, 14.74it/s]\n 10%|█         | 5/50 [00:00<00:02, 18.95it/s]\n 16%|█▌        | 8/50 [00:00<00:02, 20.28it/s]\n 22%|██▏       | 11/50 [00:00<00:01, 20.87it/s]\n 28%|██▊       | 14/50 [00:00<00:01, 21.22it/s]\n 34%|███▍      | 17/50 [00:00<00:01, 21.39it/s]\n 40%|████      | 20/50 [00:00<00:01, 21.56it/s]\n 46%|████▌     | 23/50 [00:01<00:01, 21.64it/s]\n 52%|█████▏    | 26/50 [00:01<00:01, 21.66it/s]\n 58%|█████▊    | 29/50 [00:01<00:00, 21.74it/s]\n 64%|██████▍   | 32/50 [00:01<00:00, 21.80it/s]\n 70%|███████   | 35/50 [00:01<00:00, 21.86it/s]\n 76%|███████▌  | 38/50 [00:01<00:00, 21.88it/s]\n 82%|████████▏ | 41/50 [00:01<00:00, 21.92it/s]\n 88%|████████▊ | 44/50 [00:02<00:00, 21.92it/s]\n 94%|█████████▍| 47/50 [00:02<00:00, 21.95it/s]\n100%|██████████| 50/50 [00:02<00:00, 21.96it/s]\n100%|██████████| 50/50 [00:02<00:00, 21.47it/s]",
  "metrics": {
    "predict_time": 4.102681,
    "total_time": 4.059682
  },
  "output": "https://pbxt.replicate.delivery/rawEoDS9AarjExoiKtr7bV5SLbrY5Sq4levJeh1VVrqXudsRA/out.png",
  "started_at": "2023-10-09T16:25:56.517825Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/yt5uvqdbhhzo3wjoellavpaklq",
    "cancel": "https://api.replicate.com/v1/predictions/yt5uvqdbhhzo3wjoellavpaklq/cancel"
  },
  "version": "3258454a0f4011005f51886a8d2c4015d5ec146652f2a28f042e5cc7e4ef85b4"
}

Generated in

4.1 seconds

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