Prediction

ID

688a7frg6nrme0cn5g1a7z9pmr

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

69.3s

Created

4 months ago

Input

image
instruction: segment the snowboarder

{
  "image": "https://replicate.delivery/pbxt/MXVMYKMbmDEtKqsegGtgTgmZQAhDRXydmVnt0tRA65Cr8L3H/replicate-prediction-vc34d0cgt9rme0cn57f8qqzp8m.webp",
  "instruction": "segment the snowboarder"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MXVMYKMbmDEtKqsegGtgTgmZQAhDRXydmVnt0tRA65Cr8L3H/replicate-prediction-vc34d0cgt9rme0cn57f8qqzp8m.webp",
      instruction: "segment the snowboarder"
    }
  }
);

console.log(output);

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

pip install replicate

Import the client:

import replicate

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    input={
        "image": "https://replicate.delivery/pbxt/MXVMYKMbmDEtKqsegGtgTgmZQAhDRXydmVnt0tRA65Cr8L3H/replicate-prediction-vc34d0cgt9rme0cn57f8qqzp8m.webp",
        "instruction": "segment the snowboarder"
    }
)
print(output)

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

Run bytedance/sa2va-4b-image 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": "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    "input": {
      "image": "https://replicate.delivery/pbxt/MXVMYKMbmDEtKqsegGtgTgmZQAhDRXydmVnt0tRA65Cr8L3H/replicate-prediction-vc34d0cgt9rme0cn57f8qqzp8m.webp",
      "instruction": "segment the snowboarder"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

img

response

Sure, [SEG].<|end|>

Generated in

1.1 seconds

bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411

Prediction

Model

ID

hc4w2m2vg9rme0cn5g1s6jh1ym

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

2.5s

Created

4 months ago

Input

image
instruction: caption this

{
  "image": "https://replicate.delivery/pbxt/MXVMYKMbmDEtKqsegGtgTgmZQAhDRXydmVnt0tRA65Cr8L3H/replicate-prediction-vc34d0cgt9rme0cn57f8qqzp8m.webp",
  "instruction": "caption this"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MXVMYKMbmDEtKqsegGtgTgmZQAhDRXydmVnt0tRA65Cr8L3H/replicate-prediction-vc34d0cgt9rme0cn57f8qqzp8m.webp",
      instruction: "caption this"
    }
  }
);

console.log(output);

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

pip install replicate

Import the client:

import replicate

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    input={
        "image": "https://replicate.delivery/pbxt/MXVMYKMbmDEtKqsegGtgTgmZQAhDRXydmVnt0tRA65Cr8L3H/replicate-prediction-vc34d0cgt9rme0cn57f8qqzp8m.webp",
        "instruction": "caption this"
    }
)
print(output)

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

Run bytedance/sa2va-4b-image 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": "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    "input": {
      "image": "https://replicate.delivery/pbxt/MXVMYKMbmDEtKqsegGtgTgmZQAhDRXydmVnt0tRA65Cr8L3H/replicate-prediction-vc34d0cgt9rme0cn57f8qqzp8m.webp",
      "instruction": "caption this"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

A snowboarder is captured mid-air, performing a jump on a snowy slope. The snowboarder is wearing a white jacket and black pants, with a red snowboard beneath them. The scene is set against a backdrop of a cloudy sky and snow-covered mountains, creating a visually stunning and adventurous atmosphere.<|end|>

Generated in

2.5 seconds

bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411

Prediction

Model

ID

qj3xwqxeydrm80cn5g1vff1jgc

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

0.9s

Created

4 months ago

Input

image
instruction: what kind of animal is it?

{
  "image": "https://replicate.delivery/pbxt/MXdlCoW3RFt9arevElcxp0TtITVYuOMZoW6i5GrvYDAdUTPj/replicate-prediction-1spvj2jc8hrm80cn5f6t1xxg4m.webp",
  "instruction": "what kind of animal is it?"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MXdlCoW3RFt9arevElcxp0TtITVYuOMZoW6i5GrvYDAdUTPj/replicate-prediction-1spvj2jc8hrm80cn5f6t1xxg4m.webp",
      instruction: "what kind of animal is it?"
    }
  }
);

console.log(output);

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

pip install replicate

Import the client:

import replicate

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    input={
        "image": "https://replicate.delivery/pbxt/MXdlCoW3RFt9arevElcxp0TtITVYuOMZoW6i5GrvYDAdUTPj/replicate-prediction-1spvj2jc8hrm80cn5f6t1xxg4m.webp",
        "instruction": "what kind of animal is it?"
    }
)
print(output)

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

Run bytedance/sa2va-4b-image 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": "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    "input": {
      "image": "https://replicate.delivery/pbxt/MXdlCoW3RFt9arevElcxp0TtITVYuOMZoW6i5GrvYDAdUTPj/replicate-prediction-1spvj2jc8hrm80cn5f6t1xxg4m.webp",
      "instruction": "what kind of animal is it?"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The image features a giraffe, a tall and long-necked animal native to Africa.<|end|>

Generated in

0.9 seconds

bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411

Prediction

Model

ID

2tz4kzppg1rma0cn5g1v7ngx4r

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

1.9s

Created

4 months ago

Input

image
instruction: what is the giraffe doing?

{
  "image": "https://replicate.delivery/pbxt/MXdlMbLoSATeXHoE1TblR0js7xZsahM4volqWS6PzapHQLIh/replicate-prediction-1spvj2jc8hrm80cn5f6t1xxg4m.webp",
  "instruction": "what is the giraffe doing?"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MXdlMbLoSATeXHoE1TblR0js7xZsahM4volqWS6PzapHQLIh/replicate-prediction-1spvj2jc8hrm80cn5f6t1xxg4m.webp",
      instruction: "what is the giraffe doing?"
    }
  }
);

console.log(output);

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

pip install replicate

Import the client:

import replicate

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    input={
        "image": "https://replicate.delivery/pbxt/MXdlMbLoSATeXHoE1TblR0js7xZsahM4volqWS6PzapHQLIh/replicate-prediction-1spvj2jc8hrm80cn5f6t1xxg4m.webp",
        "instruction": "what is the giraffe doing?"
    }
)
print(output)

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

Run bytedance/sa2va-4b-image 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": "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    "input": {
      "image": "https://replicate.delivery/pbxt/MXdlMbLoSATeXHoE1TblR0js7xZsahM4volqWS6PzapHQLIh/replicate-prediction-1spvj2jc8hrm80cn5f6t1xxg4m.webp",
      "instruction": "what is the giraffe doing?"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The giraffe is standing next to a tree, eating leaves from the tree branches. It is using its long neck to reach the leaves, which is a typical behavior for giraffes as they feed on the leaves, flowers, and fruits of trees and bushes in their natural habitat.<|end|>

Generated in

1.8 seconds

bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411

Prediction

Model

ID

vwh1qc1z0xrma0cn5g28fjzxjr

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

0.6s

Created

4 months ago

Input

image
instruction: segment the dinosaur to the left of the sunglasses

{
  "image": "https://replicate.delivery/pbxt/MXdln1i6IL5tOckANixnOL4Fx8BI3ytxhnLcfROT8JorU2lR/replicate-prediction-t89m1g7t1drma0cn551bhpaep0.jpg",
  "instruction": "segment the dinosaur to the left of the sunglasses"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MXdln1i6IL5tOckANixnOL4Fx8BI3ytxhnLcfROT8JorU2lR/replicate-prediction-t89m1g7t1drma0cn551bhpaep0.jpg",
      instruction: "segment the dinosaur to the left of the sunglasses"
    }
  }
);

console.log(output);

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

pip install replicate

Import the client:

import replicate

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    input={
        "image": "https://replicate.delivery/pbxt/MXdln1i6IL5tOckANixnOL4Fx8BI3ytxhnLcfROT8JorU2lR/replicate-prediction-t89m1g7t1drma0cn551bhpaep0.jpg",
        "instruction": "segment the dinosaur to the left of the sunglasses"
    }
)
print(output)

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

Run bytedance/sa2va-4b-image 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": "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    "input": {
      "image": "https://replicate.delivery/pbxt/MXdln1i6IL5tOckANixnOL4Fx8BI3ytxhnLcfROT8JorU2lR/replicate-prediction-t89m1g7t1drma0cn551bhpaep0.jpg",
      "instruction": "segment the dinosaur to the left of the sunglasses"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

img

response

Sure, [SEG].<|end|>

Generated in

0.6 seconds

bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411

Prediction

Model

ID

43d2wf2yenrme0cn5g2bbj9qsw

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

0.7s

Created

4 months ago

Input

image
instruction: how many feathers are there?

{
  "image": "https://replicate.delivery/pbxt/MXdluyBYPpxGMlqFEdrjXQWoTdhsAvkAgmi8r12wSkyRixl8/replicate-prediction-t89m1g7t1drma0cn551bhpaep0.jpg",
  "instruction": "how many feathers are there?"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MXdluyBYPpxGMlqFEdrjXQWoTdhsAvkAgmi8r12wSkyRixl8/replicate-prediction-t89m1g7t1drma0cn551bhpaep0.jpg",
      instruction: "how many feathers are there?"
    }
  }
);

console.log(output);

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

pip install replicate

Import the client:

import replicate

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    input={
        "image": "https://replicate.delivery/pbxt/MXdluyBYPpxGMlqFEdrjXQWoTdhsAvkAgmi8r12wSkyRixl8/replicate-prediction-t89m1g7t1drma0cn551bhpaep0.jpg",
        "instruction": "how many feathers are there?"
    }
)
print(output)

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

Run bytedance/sa2va-4b-image 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": "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    "input": {
      "image": "https://replicate.delivery/pbxt/MXdluyBYPpxGMlqFEdrjXQWoTdhsAvkAgmi8r12wSkyRixl8/replicate-prediction-t89m1g7t1drma0cn551bhpaep0.jpg",
      "instruction": "how many feathers are there?"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

There are two feathers in the image.<|end|>

Generated in

0.7 seconds

bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411

Prediction

Model

ID

7v61mpn50drmc0cn5g2ab4cnf0

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

0.6s

Created

4 months ago

Input

image
instruction: segment the yellow duck

{
  "image": "https://replicate.delivery/pbxt/MXdmCYqayeFl1O8oP8iQKeOTG1J6CIL6poce9Qaw8iqIw8nN/replicate-prediction-eey39qeqh1rme0cn552tca7k0c.webp",
  "instruction": "segment the yellow duck"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MXdmCYqayeFl1O8oP8iQKeOTG1J6CIL6poce9Qaw8iqIw8nN/replicate-prediction-eey39qeqh1rme0cn552tca7k0c.webp",
      instruction: "segment the yellow duck"
    }
  }
);

console.log(output);

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

pip install replicate

Import the client:

import replicate

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    input={
        "image": "https://replicate.delivery/pbxt/MXdmCYqayeFl1O8oP8iQKeOTG1J6CIL6poce9Qaw8iqIw8nN/replicate-prediction-eey39qeqh1rme0cn552tca7k0c.webp",
        "instruction": "segment the yellow duck"
    }
)
print(output)

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

Run bytedance/sa2va-4b-image 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": "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
    "input": {
      "image": "https://replicate.delivery/pbxt/MXdmCYqayeFl1O8oP8iQKeOTG1J6CIL6poce9Qaw8iqIw8nN/replicate-prediction-eey39qeqh1rme0cn552tca7k0c.webp",
      "instruction": "segment the yellow duck"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

img

response

Sure, [SEG].<|end|>

Generated in

0.6 seconds

bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411

Prediction

Model

ID

6229hx66xsrma0cn5g29tb0qwr

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

0.7s

Created

4 months ago

Input

image
instruction: how many ducks are there?

{
  "image": "https://replicate.delivery/pbxt/MXdmLZCrmlCLVbBMyybYauyWty9nLR6IwyUDqQSI29Ho3ppB/replicate-prediction-eey39qeqh1rme0cn552tca7k0c.webp",
  "instruction": "how many ducks are there?"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run bytedance/sa2va-4b-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/sa2va-4b-image:ccf8e58352ce5b2a6cbf5cb68b947ca3bc62009ce66e82071eeae14555414411",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MXdmLZCrmlCLVbBMyybYauyWty9nLR6IwyUDqQSI29Ho3ppB/replicate-prediction-eey39qeqh1rme0cn552tca7k0c.webp",
      instruction: "how many ducks are there?"
    }
  }
);

console.log(output);

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