cjwbw / daclip-uir

Controlling Vision-Language Models for Universal Image Restoration

Cold

Public
2.2K runs
L40S
GitHub
Paper
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Prediction

cjwbw/daclip-uir:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4

Model

cjwbw/daclip-uir:5efbc85e

52szxldbbw7fmjhtlgyzfxs5pm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

8.4s

Created

almost 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JgmLnELWABG1jAGQbumGUm5Un0sCYvAK9v8vD6uptBfIAdvE/00006.jpg"
}

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

const output = await replicate.run(
  "cjwbw/daclip-uir:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JgmLnELWABG1jAGQbumGUm5Un0sCYvAK9v8vD6uptBfIAdvE/00006.jpg"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/daclip-uir:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4",
    input={
        "image": "https://replicate.delivery/pbxt/JgmLnELWABG1jAGQbumGUm5Un0sCYvAK9v8vD6uptBfIAdvE/00006.jpg"
    }
)
print(output)

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

Run cjwbw/daclip-uir 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": "cjwbw/daclip-uir:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4",
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmLnELWABG1jAGQbumGUm5Un0sCYvAK9v8vD6uptBfIAdvE/00006.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/cjwbw/daclip-uir@sha256:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4 \
  -i 'image="https://replicate.delivery/pbxt/JgmLnELWABG1jAGQbumGUm5Un0sCYvAK9v8vD6uptBfIAdvE/00006.jpg"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/daclip-uir@sha256:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmLnELWABG1jAGQbumGUm5Un0sCYvAK9v8vD6uptBfIAdvE/00006.jpg"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

6.4 seconds

Tweak it ShareReport

Prediction

cjwbw/daclip-uir:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4

Model

cjwbw/daclip-uir:5efbc85e

mu7apidbtjfzezckraqeohvp3e

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

21.0s

Created

almost 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JgmPUp4x0C2wW5Xgk0Nj1PIr8sY8hEVhHGQyDgHKhzEbiCnO/beautiful_smile_00489.jpg"
}

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

const output = await replicate.run(
  "cjwbw/daclip-uir:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JgmPUp4x0C2wW5Xgk0Nj1PIr8sY8hEVhHGQyDgHKhzEbiCnO/beautiful_smile_00489.jpg"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/daclip-uir:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4",
    input={
        "image": "https://replicate.delivery/pbxt/JgmPUp4x0C2wW5Xgk0Nj1PIr8sY8hEVhHGQyDgHKhzEbiCnO/beautiful_smile_00489.jpg"
    }
)
print(output)

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

Run cjwbw/daclip-uir 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": "cjwbw/daclip-uir:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4",
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmPUp4x0C2wW5Xgk0Nj1PIr8sY8hEVhHGQyDgHKhzEbiCnO/beautiful_smile_00489.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/cjwbw/daclip-uir@sha256:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4 \
  -i 'image="https://replicate.delivery/pbxt/JgmPUp4x0C2wW5Xgk0Nj1PIr8sY8hEVhHGQyDgHKhzEbiCnO/beautiful_smile_00489.jpg"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/daclip-uir@sha256:5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmPUp4x0C2wW5Xgk0Nj1PIr8sY8hEVhHGQyDgHKhzEbiCnO/beautiful_smile_00489.jpg"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-12T22:42:43.719849Z",
  "created_at": "2023-10-12T22:42:22.766861Z",
  "data_removed": false,
  "error": null,
  "id": "mu7apidbtjfzezckraqeohvp3e",
  "input": {
    "image": "https://replicate.delivery/pbxt/JgmPUp4x0C2wW5Xgk0Nj1PIr8sY8hEVhHGQyDgHKhzEbiCnO/beautiful_smile_00489.jpg"
  },
  "logs": "0it [00:00, ?it/s]\n1it [00:00,  6.81it/s]\n3it [00:00,  7.37it/s]\n4it [00:00,  6.43it/s]\n5it [00:00,  5.97it/s]\n6it [00:00,  5.70it/s]\n7it [00:01,  5.54it/s]\n8it [00:01,  5.42it/s]\n9it [00:01,  5.37it/s]\n10it [00:01,  5.32it/s]\n11it [00:01,  5.29it/s]\n12it [00:02,  5.26it/s]\n13it [00:02,  5.24it/s]\n14it [00:02,  5.23it/s]\n15it [00:02,  5.23it/s]\n16it [00:02,  5.22it/s]\n17it [00:03,  5.22it/s]\n18it [00:03,  5.21it/s]\n19it [00:03,  5.20it/s]\n20it [00:03,  5.21it/s]\n21it [00:03,  5.21it/s]\n22it [00:04,  5.21it/s]\n23it [00:04,  5.21it/s]\n24it [00:04,  5.21it/s]\n25it [00:04,  5.18it/s]\n26it [00:04,  5.21it/s]\n27it [00:05,  5.21it/s]\n28it [00:05,  5.21it/s]\n29it [00:05,  5.21it/s]\n30it [00:05,  5.20it/s]\n31it [00:05,  5.21it/s]\n32it [00:05,  5.20it/s]\n33it [00:06,  5.20it/s]\n34it [00:06,  5.20it/s]\n35it [00:06,  5.20it/s]\n36it [00:06,  5.21it/s]\n37it [00:06,  5.19it/s]\n38it [00:07,  5.21it/s]\n39it [00:07,  5.20it/s]\n40it [00:07,  5.20it/s]\n41it [00:07,  5.21it/s]\n42it [00:07,  5.21it/s]\n43it [00:08,  5.21it/s]\n44it [00:08,  5.21it/s]\n45it [00:08,  5.20it/s]\n46it [00:08,  5.20it/s]\n47it [00:08,  5.20it/s]\n48it [00:09,  5.20it/s]\n49it [00:09,  5.20it/s]\n50it [00:09,  5.20it/s]\n51it [00:09,  5.20it/s]\n52it [00:09,  5.20it/s]\n53it [00:10,  5.21it/s]\n54it [00:10,  5.20it/s]\n55it [00:10,  5.20it/s]\n56it [00:10,  5.21it/s]\n57it [00:10,  5.21it/s]\n58it [00:10,  5.20it/s]\n59it [00:11,  5.20it/s]\n60it [00:11,  5.21it/s]\n61it [00:11,  5.21it/s]\n62it [00:11,  5.21it/s]\n63it [00:11,  5.20it/s]\n64it [00:12,  5.20it/s]\n65it [00:12,  5.21it/s]\n66it [00:12,  5.20it/s]\n67it [00:12,  5.21it/s]\n68it [00:12,  5.20it/s]\n69it [00:13,  5.20it/s]\n70it [00:13,  5.20it/s]\n71it [00:13,  5.20it/s]\n72it [00:13,  5.19it/s]\n73it [00:13,  5.21it/s]\n74it [00:14,  5.21it/s]\n75it [00:14,  5.21it/s]\n76it [00:14,  5.20it/s]\n77it [00:14,  5.20it/s]\n78it [00:14,  5.20it/s]\n79it [00:15,  5.20it/s]\n80it [00:15,  5.21it/s]\n81it [00:15,  5.20it/s]\n82it [00:15,  5.20it/s]\n83it [00:15,  5.20it/s]\n84it [00:15,  5.20it/s]\n85it [00:16,  5.21it/s]\n86it [00:16,  5.20it/s]\n87it [00:16,  5.20it/s]\n88it [00:16,  5.20it/s]\n89it [00:16,  5.20it/s]\n90it [00:17,  5.20it/s]\n91it [00:17,  5.20it/s]\n92it [00:17,  5.20it/s]\n93it [00:17,  5.21it/s]\n94it [00:17,  5.20it/s]\n95it [00:18,  5.19it/s]\n96it [00:18,  5.19it/s]\n97it [00:18,  5.20it/s]\n98it [00:18,  5.21it/s]\n99it [00:18,  5.19it/s]\n100it [00:19,  5.21it/s]\n100it [00:19,  5.25it/s]",
  "metrics": {
    "predict_time": 20.939749,
    "total_time": 20.952988
  },
  "output": "https://replicate.delivery/pbxt/Egnn5i5RFt6KDpeZIHb2HhZwJBfkFhRT1lZ91Y1tY83ihitRA/out.png",
  "started_at": "2023-10-12T22:42:22.780100Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/mu7apidbtjfzezckraqeohvp3e",
    "cancel": "https://api.replicate.com/v1/predictions/mu7apidbtjfzezckraqeohvp3e/cancel"
  },
  "version": "5efbc85e1d0771704d74d81a660041abd270d48e99572badefbcdf81383f6af4"
}

Generated in

20.9 seconds

Tweak it ShareReport

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Prediction

cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232

Model

cjwbw/daclip-uir:73496e1d

mscjoalbxfhz3wklinoru6pwbm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

12.7s

Created

almost 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JgmaupsG9GYI4aWMjTDLDZRM7scsU6qsCzvNHsXqHoG2nVVG/079.png"
}

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

const output = await replicate.run(
  "cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JgmaupsG9GYI4aWMjTDLDZRM7scsU6qsCzvNHsXqHoG2nVVG/079.png"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232",
    input={
        "image": "https://replicate.delivery/pbxt/JgmaupsG9GYI4aWMjTDLDZRM7scsU6qsCzvNHsXqHoG2nVVG/079.png"
    }
)
print(output)

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

Run cjwbw/daclip-uir 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": "cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232",
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmaupsG9GYI4aWMjTDLDZRM7scsU6qsCzvNHsXqHoG2nVVG/079.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/cjwbw/daclip-uir@sha256:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232 \
  -i 'image="https://replicate.delivery/pbxt/JgmaupsG9GYI4aWMjTDLDZRM7scsU6qsCzvNHsXqHoG2nVVG/079.png"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/daclip-uir@sha256:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmaupsG9GYI4aWMjTDLDZRM7scsU6qsCzvNHsXqHoG2nVVG/079.png"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-12T22:54:38.780318Z",
  "created_at": "2023-10-12T22:54:26.079416Z",
  "data_removed": false,
  "error": null,
  "id": "mscjoalbxfhz3wklinoru6pwbm",
  "input": {
    "image": "https://replicate.delivery/pbxt/JgmaupsG9GYI4aWMjTDLDZRM7scsU6qsCzvNHsXqHoG2nVVG/079.png"
  },
  "logs": "0it [00:00, ?it/s]\n1it [00:00,  9.69it/s]\n3it [00:00, 12.04it/s]\n5it [00:00, 10.46it/s]\n7it [00:00,  9.94it/s]\n9it [00:00,  9.70it/s]\n10it [00:01,  9.62it/s]\n11it [00:01,  9.56it/s]\n12it [00:01,  9.50it/s]\n13it [00:01,  9.45it/s]\n14it [00:01,  9.42it/s]\n15it [00:01,  9.40it/s]\n16it [00:01,  9.36it/s]\n17it [00:01,  9.38it/s]\n18it [00:01,  9.36it/s]\n19it [00:01,  9.36it/s]\n20it [00:02,  9.35it/s]\n21it [00:02,  9.34it/s]\n22it [00:02,  9.34it/s]\n23it [00:02,  9.34it/s]\n24it [00:02,  9.31it/s]\n25it [00:02,  9.35it/s]\n26it [00:02,  9.34it/s]\n27it [00:02,  9.31it/s]\n28it [00:02,  9.34it/s]\n29it [00:03,  9.34it/s]\n30it [00:03,  9.35it/s]\n31it [00:03,  9.34it/s]\n32it [00:03,  9.33it/s]\n33it [00:03,  9.31it/s]\n34it [00:03,  9.33it/s]\n35it [00:03,  9.33it/s]\n36it [00:03,  9.33it/s]\n37it [00:03,  9.33it/s]\n38it [00:04,  9.33it/s]\n39it [00:04,  9.34it/s]\n40it [00:04,  9.33it/s]\n41it [00:04,  9.34it/s]\n42it [00:04,  9.34it/s]\n43it [00:04,  9.32it/s]\n44it [00:04,  9.34it/s]\n45it [00:04,  9.33it/s]\n46it [00:04,  9.33it/s]\n47it [00:04,  9.33it/s]\n48it [00:05,  9.34it/s]\n49it [00:05,  9.34it/s]\n50it [00:05,  9.35it/s]\n51it [00:05,  9.35it/s]\n52it [00:05,  9.32it/s]\n53it [00:05,  9.34it/s]\n54it [00:05,  9.34it/s]\n55it [00:05,  9.34it/s]\n56it [00:05,  9.35it/s]\n57it [00:06,  9.34it/s]\n58it [00:06,  9.35it/s]\n59it [00:06,  9.34it/s]\n60it [00:06,  9.32it/s]\n61it [00:06,  9.32it/s]\n62it [00:06,  9.31it/s]\n63it [00:06,  9.33it/s]\n64it [00:06,  9.34it/s]\n65it [00:06,  9.33it/s]\n66it [00:07,  9.34it/s]\n67it [00:07,  9.35it/s]\n68it [00:07,  9.30it/s]\n69it [00:07,  9.34it/s]\n70it [00:07,  9.33it/s]\n71it [00:07,  9.33it/s]\n72it [00:07,  9.30it/s]\n73it [00:07,  9.34it/s]\n74it [00:07,  9.33it/s]\n75it [00:07,  9.35it/s]\n76it [00:08,  9.34it/s]\n77it [00:08,  9.35it/s]\n78it [00:08,  9.35it/s]\n79it [00:08,  9.34it/s]\n80it [00:08,  9.29it/s]\n81it [00:08,  9.31it/s]\n82it [00:08,  9.33it/s]\n83it [00:08,  9.34it/s]\n84it [00:08,  9.25it/s]\n85it [00:09,  9.32it/s]\n86it [00:09,  9.34it/s]\n87it [00:09,  9.34it/s]\n88it [00:09,  9.34it/s]\n89it [00:09,  9.30it/s]\n90it [00:09,  9.26it/s]\n91it [00:09,  9.28it/s]\n92it [00:09,  9.28it/s]\n93it [00:09,  9.31it/s]\n94it [00:10,  9.33it/s]\n95it [00:10,  9.31it/s]\n96it [00:10,  9.34it/s]\n97it [00:10,  9.33it/s]\n98it [00:10,  9.32it/s]\n99it [00:10,  9.35it/s]\n100it [00:10,  9.36it/s]\n100it [00:10,  9.39it/s]",
  "metrics": {
    "predict_time": 12.717823,
    "total_time": 12.700902
  },
  "output": "https://pbxt.replicate.delivery/BeJKrJWa2LymJyt3JKe8TVKn2iCEfIIFgxO8ZKTZUyPbZFbjA/out.png",
  "started_at": "2023-10-12T22:54:26.062495Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/mscjoalbxfhz3wklinoru6pwbm",
    "cancel": "https://api.replicate.com/v1/predictions/mscjoalbxfhz3wklinoru6pwbm/cancel"
  },
  "version": "73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232"
}

Generated in

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Prediction

cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232

Model

cjwbw/daclip-uir:73496e1d

rcqigedbw2ghpf3ckrilgj2rne

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

27.6s

Created

almost 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JgmbQzLXG6AdZTOJwb65M3gDJMtrq43SobTR7xpZnM9HsPSu/sailing2.png"
}

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

const output = await replicate.run(
  "cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JgmbQzLXG6AdZTOJwb65M3gDJMtrq43SobTR7xpZnM9HsPSu/sailing2.png"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232",
    input={
        "image": "https://replicate.delivery/pbxt/JgmbQzLXG6AdZTOJwb65M3gDJMtrq43SobTR7xpZnM9HsPSu/sailing2.png"
    }
)
print(output)

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

Run cjwbw/daclip-uir 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": "cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232",
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmbQzLXG6AdZTOJwb65M3gDJMtrq43SobTR7xpZnM9HsPSu/sailing2.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/cjwbw/daclip-uir@sha256:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232 \
  -i 'image="https://replicate.delivery/pbxt/JgmbQzLXG6AdZTOJwb65M3gDJMtrq43SobTR7xpZnM9HsPSu/sailing2.png"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/daclip-uir@sha256:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmbQzLXG6AdZTOJwb65M3gDJMtrq43SobTR7xpZnM9HsPSu/sailing2.png"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-12T22:55:26.278790Z",
  "created_at": "2023-10-12T22:54:58.701077Z",
  "data_removed": false,
  "error": null,
  "id": "rcqigedbw2ghpf3ckrilgj2rne",
  "input": {
    "image": "https://replicate.delivery/pbxt/JgmbQzLXG6AdZTOJwb65M3gDJMtrq43SobTR7xpZnM9HsPSu/sailing2.png"
  },
  "logs": "0it [00:00, ?it/s]\n1it [00:00,  5.27it/s]\n3it [00:00,  5.64it/s]\n4it [00:00,  4.89it/s]\n5it [00:01,  4.53it/s]\n6it [00:01,  4.31it/s]\n7it [00:01,  4.18it/s]\n8it [00:01,  4.09it/s]\n9it [00:02,  4.04it/s]\n10it [00:02,  4.00it/s]\n11it [00:02,  3.98it/s]\n12it [00:02,  3.96it/s]\n13it [00:03,  3.95it/s]\n14it [00:03,  3.94it/s]\n15it [00:03,  3.93it/s]\n16it [00:03,  3.93it/s]\n17it [00:04,  3.93it/s]\n18it [00:04,  3.93it/s]\n19it [00:04,  3.93it/s]\n20it [00:04,  3.92it/s]\n21it [00:05,  3.92it/s]\n22it [00:05,  3.92it/s]\n23it [00:05,  3.92it/s]\n24it [00:05,  3.92it/s]\n25it [00:06,  3.92it/s]\n26it [00:06,  3.92it/s]\n27it [00:06,  3.92it/s]\n28it [00:06,  3.90it/s]\n29it [00:07,  3.92it/s]\n30it [00:07,  3.93it/s]\n31it [00:07,  3.92it/s]\n32it [00:07,  3.92it/s]\n33it [00:08,  3.92it/s]\n34it [00:08,  3.92it/s]\n35it [00:08,  3.92it/s]\n36it [00:08,  3.92it/s]\n37it [00:09,  3.92it/s]\n38it [00:09,  3.92it/s]\n39it [00:09,  3.92it/s]\n40it [00:09,  3.92it/s]\n41it [00:10,  3.92it/s]\n42it [00:10,  3.92it/s]\n43it [00:10,  3.92it/s]\n44it [00:10,  3.92it/s]\n45it [00:11,  3.92it/s]\n46it [00:11,  3.92it/s]\n47it [00:11,  3.91it/s]\n48it [00:12,  3.92it/s]\n49it [00:12,  3.92it/s]\n50it [00:12,  3.92it/s]\n51it [00:12,  3.92it/s]\n52it [00:13,  3.92it/s]\n53it [00:13,  3.92it/s]\n54it [00:13,  3.91it/s]\n55it [00:13,  3.92it/s]\n56it [00:14,  3.92it/s]\n57it [00:14,  3.92it/s]\n58it [00:14,  3.92it/s]\n59it [00:14,  3.92it/s]\n60it [00:15,  3.91it/s]\n61it [00:15,  3.92it/s]\n62it [00:15,  3.92it/s]\n63it [00:15,  3.92it/s]\n64it [00:16,  3.91it/s]\n65it [00:16,  3.91it/s]\n66it [00:16,  3.92it/s]\n67it [00:16,  3.92it/s]\n68it [00:17,  3.91it/s]\n69it [00:17,  3.91it/s]\n70it [00:17,  3.91it/s]\n71it [00:17,  3.92it/s]\n72it [00:18,  3.92it/s]\n73it [00:18,  3.91it/s]\n74it [00:18,  3.91it/s]\n75it [00:18,  3.91it/s]\n76it [00:19,  3.91it/s]\n77it [00:19,  3.92it/s]\n78it [00:19,  3.91it/s]\n79it [00:19,  3.91it/s]\n80it [00:20,  3.92it/s]\n81it [00:20,  3.91it/s]\n82it [00:20,  3.92it/s]\n83it [00:20,  3.91it/s]\n84it [00:21,  3.91it/s]\n85it [00:21,  3.91it/s]\n86it [00:21,  3.91it/s]\n87it [00:21,  3.91it/s]\n88it [00:22,  3.91it/s]\n89it [00:22,  3.91it/s]\n90it [00:22,  3.91it/s]\n91it [00:22,  3.91it/s]\n92it [00:23,  3.91it/s]\n93it [00:23,  3.92it/s]\n94it [00:23,  3.92it/s]\n95it [00:24,  3.91it/s]\n96it [00:24,  3.92it/s]\n97it [00:24,  3.91it/s]\n98it [00:24,  3.92it/s]\n99it [00:25,  3.91it/s]\n100it [00:25,  3.92it/s]\n100it [00:25,  3.95it/s]",
  "metrics": {
    "predict_time": 27.560048,
    "total_time": 27.577713
  },
  "output": "https://pbxt.replicate.delivery/ipfteipteqHndpLe5ACBU73xkUoDH9mvz61s02bgRfBtrVsNC/out.png",
  "started_at": "2023-10-12T22:54:58.718742Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rcqigedbw2ghpf3ckrilgj2rne",
    "cancel": "https://api.replicate.com/v1/predictions/rcqigedbw2ghpf3ckrilgj2rne/cancel"
  },
  "version": "73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232"
}

Generated in

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Prediction

cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232

Model

cjwbw/daclip-uir:73496e1d

nuagadtbj46r6sfpfixkeenqxu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

12.3s

Created

almost 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JgmcQW6fy0gc050IOkkk7tscP9shKahhLEH2GesyvjQJUDTV/21077.png"
}

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

const output = await replicate.run(
  "cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JgmcQW6fy0gc050IOkkk7tscP9shKahhLEH2GesyvjQJUDTV/21077.png"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232",
    input={
        "image": "https://replicate.delivery/pbxt/JgmcQW6fy0gc050IOkkk7tscP9shKahhLEH2GesyvjQJUDTV/21077.png"
    }
)
print(output)

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

Run cjwbw/daclip-uir 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": "cjwbw/daclip-uir:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232",
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmcQW6fy0gc050IOkkk7tscP9shKahhLEH2GesyvjQJUDTV/21077.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/cjwbw/daclip-uir@sha256:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232 \
  -i 'image="https://replicate.delivery/pbxt/JgmcQW6fy0gc050IOkkk7tscP9shKahhLEH2GesyvjQJUDTV/21077.png"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/daclip-uir@sha256:73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JgmcQW6fy0gc050IOkkk7tscP9shKahhLEH2GesyvjQJUDTV/21077.png"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-12T22:56:14.186478Z",
  "created_at": "2023-10-12T22:56:01.867978Z",
  "data_removed": false,
  "error": null,
  "id": "nuagadtbj46r6sfpfixkeenqxu",
  "input": {
    "image": "https://replicate.delivery/pbxt/JgmcQW6fy0gc050IOkkk7tscP9shKahhLEH2GesyvjQJUDTV/21077.png"
  },
  "logs": "0it [00:00, ?it/s]\n2it [00:00, 16.43it/s]\n4it [00:00, 11.35it/s]\n6it [00:00, 10.33it/s]\n8it [00:00,  9.91it/s]\n10it [00:00,  9.70it/s]\n11it [00:01,  9.61it/s]\n12it [00:01,  9.55it/s]\n13it [00:01,  9.49it/s]\n14it [00:01,  9.44it/s]\n15it [00:01,  9.42it/s]\n16it [00:01,  9.39it/s]\n17it [00:01,  9.36it/s]\n18it [00:01,  9.38it/s]\n19it [00:01,  9.37it/s]\n20it [00:02,  9.37it/s]\n21it [00:02,  9.36it/s]\n22it [00:02,  9.34it/s]\n23it [00:02,  9.33it/s]\n24it [00:02,  9.35it/s]\n25it [00:02,  9.34it/s]\n26it [00:02,  9.34it/s]\n27it [00:02,  9.34it/s]\n28it [00:02,  9.32it/s]\n29it [00:03,  9.33it/s]\n30it [00:03,  9.33it/s]\n31it [00:03,  9.33it/s]\n32it [00:03,  9.34it/s]\n33it [00:03,  9.34it/s]\n34it [00:03,  9.34it/s]\n35it [00:03,  9.35it/s]\n36it [00:03,  9.34it/s]\n37it [00:03,  9.34it/s]\n38it [00:03,  9.34it/s]\n39it [00:04,  9.33it/s]\n40it [00:04,  9.34it/s]\n41it [00:04,  9.34it/s]\n42it [00:04,  9.32it/s]\n43it [00:04,  9.33it/s]\n44it [00:04,  9.33it/s]\n45it [00:04,  9.33it/s]\n46it [00:04,  9.34it/s]\n47it [00:04,  9.33it/s]\n48it [00:05,  9.34it/s]\n49it [00:05,  9.35it/s]\n50it [00:05,  9.32it/s]\n51it [00:05,  9.31it/s]\n52it [00:05,  9.32it/s]\n53it [00:05,  9.32it/s]\n54it [00:05,  9.33it/s]\n55it [00:05,  9.32it/s]\n56it [00:05,  9.30it/s]\n57it [00:06,  9.34it/s]\n58it [00:06,  9.33it/s]\n59it [00:06,  9.35it/s]\n60it [00:06,  9.35it/s]\n61it [00:06,  9.32it/s]\n62it [00:06,  9.34it/s]\n63it [00:06,  9.35it/s]\n64it [00:06,  9.33it/s]\n65it [00:06,  9.34it/s]\n66it [00:06,  9.34it/s]\n67it [00:07,  9.32it/s]\n68it [00:07,  9.33it/s]\n69it [00:07,  9.33it/s]\n70it [00:07,  9.33it/s]\n71it [00:07,  9.30it/s]\n72it [00:07,  9.33it/s]\n73it [00:07,  9.34it/s]\n74it [00:07,  9.35it/s]\n75it [00:07,  9.34it/s]\n76it [00:08,  9.34it/s]\n77it [00:08,  9.35it/s]\n78it [00:08,  9.33it/s]\n79it [00:08,  9.31it/s]\n80it [00:08,  9.33it/s]\n81it [00:08,  9.30it/s]\n82it [00:08,  9.29it/s]\n83it [00:08,  9.30it/s]\n84it [00:08,  9.33it/s]\n85it [00:09,  9.34it/s]\n86it [00:09,  9.34it/s]\n87it [00:09,  9.34it/s]\n88it [00:09,  9.34it/s]\n89it [00:09,  9.28it/s]\n90it [00:09,  9.33it/s]\n91it [00:09,  9.31it/s]\n92it [00:09,  9.32it/s]\n93it [00:09,  9.33it/s]\n94it [00:09,  9.33it/s]\n95it [00:10,  9.33it/s]\n96it [00:10,  9.34it/s]\n97it [00:10,  9.32it/s]\n98it [00:10,  9.33it/s]\n99it [00:10,  9.32it/s]\n100it [00:10,  9.31it/s]\n100it [00:10,  9.41it/s]",
  "metrics": {
    "predict_time": 12.399974,
    "total_time": 12.3185
  },
  "output": "https://pbxt.replicate.delivery/jbWK2ATu5fx2c6Ltz9iW3kMGWueXjCNUqL5pnbrdFAiNuitRA/out.png",
  "started_at": "2023-10-12T22:56:01.786504Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/nuagadtbj46r6sfpfixkeenqxu",
    "cancel": "https://api.replicate.com/v1/predictions/nuagadtbj46r6sfpfixkeenqxu/cancel"
  },
  "version": "73496e1d669145e494f61f1f8385522063de91fc9949d8726562ec782ba94232"
}

Generated in

12.4 seconds

Tweak it ShareReport

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