Prediction

ID

hb56h7dbwvxugfdptt6qnfvhwq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.1s

Created

over 1 year ago

Input

seed: 758143278
prompt: backlight, wilderness woman hunting in jungle hiding behind leaves, face paintings closeup face portrait, detailed eyes, nature documentary, dry skin, fuzzy skin, lens flare
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)
num_inference_steps: 4

{
  "seed": 758143278,
  "prompt": "backlight, wilderness woman hunting in jungle hiding behind leaves, face paintings closeup face portrait, detailed eyes, nature documentary, dry skin, fuzzy skin, lens flare",
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
  "num_inference_steps": 4
}

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

const output = await replicate.run(
  "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
  {
    input: {
      seed: 758143278,
      prompt: "backlight, wilderness woman hunting in jungle hiding behind leaves, face paintings closeup face portrait, detailed eyes, nature documentary, dry skin, fuzzy skin, lens flare",
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      num_inference_steps: 4
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    input={
        "seed": 758143278,
        "prompt": "backlight, wilderness woman hunting in jungle hiding behind leaves, face paintings closeup face portrait, detailed eyes, nature documentary, dry skin, fuzzy skin, lens flare",
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
        "num_inference_steps": 4
    }
)
print(output)

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

Run cjwbw/segmind-vegart 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/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    "input": {
      "seed": 758143278,
      "prompt": "backlight, wilderness woman hunting in jungle hiding behind leaves, face paintings closeup face portrait, detailed eyes, nature documentary, dry skin, fuzzy skin, lens flare",
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.1 seconds

cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01

Prediction

Model

ID

xyhsxr3b6bjzcmfsa6lp53ns5a

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.0s

Created

over 1 year ago

Input

seed: 758143278
prompt: A cinematic shot of a racoon wearing an intricate italian priest robe, with a crown
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)
num_inference_steps: 4

{
  "seed": 758143278,
  "prompt": "A cinematic shot of a racoon wearing an intricate italian priest robe, with a crown",
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
  "num_inference_steps": 4
}

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

const output = await replicate.run(
  "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
  {
    input: {
      seed: 758143278,
      prompt: "A cinematic shot of a racoon wearing an intricate italian priest robe, with a crown",
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      num_inference_steps: 4
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    input={
        "seed": 758143278,
        "prompt": "A cinematic shot of a racoon wearing an intricate italian priest robe, with a crown",
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
        "num_inference_steps": 4
    }
)
print(output)

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

Run cjwbw/segmind-vegart 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/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    "input": {
      "seed": 758143278,
      "prompt": "A cinematic shot of a racoon wearing an intricate italian priest robe, with a crown",
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.0 seconds

cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01

Prediction

Model

ID

lj6fkidb6r5wo57antwzju2qg4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1.9s

Created

over 1 year ago

Input

prompt: A cute cat eating a slice of pizza, stunning color scheme, masterpiece, illustration
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)
num_inference_steps: 4

{
  "prompt": "A cute cat eating a slice of pizza, stunning color scheme, masterpiece, illustration",
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
  "num_inference_steps": 4
}

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

const output = await replicate.run(
  "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
  {
    input: {
      prompt: "A cute cat eating a slice of pizza, stunning color scheme, masterpiece, illustration",
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      num_inference_steps: 4
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    input={
        "prompt": "A cute cat eating a slice of pizza, stunning color scheme, masterpiece, illustration",
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
        "num_inference_steps": 4
    }
)
print(output)

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

Run cjwbw/segmind-vegart 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/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    "input": {
      "prompt": "A cute cat eating a slice of pizza, stunning color scheme, masterpiece, illustration",
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.9 seconds

cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01

Prediction

Model

ID

7drueudbjafegaesdnaqjehgxe

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.2s

Created

over 1 year ago

Input

prompt: Self-portrait oil painting, a beautiful cyborg with golden hair, 8k
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)
num_inference_steps: 4

{
  "prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
  "num_inference_steps": 4
}

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

const output = await replicate.run(
  "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
  {
    input: {
      prompt: "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      num_inference_steps: 4
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    input={
        "prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
        "num_inference_steps": 4
    }
)
print(output)

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

Run cjwbw/segmind-vegart 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/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    "input": {
      "prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.1 seconds

cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01

Prediction

Model

ID

gjly5xtblijzgd3epppfd2cpwa

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.1s

Created

over 1 year ago

Input

prompt: Self-portrait oil painting, a beautiful cyborg with golden hair, 8k
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)
num_inference_steps: 4

{
  "prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
  "num_inference_steps": 4
}

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

const output = await replicate.run(
  "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
  {
    input: {
      prompt: "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      num_inference_steps: 4
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    input={
        "prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
        "num_inference_steps": 4
    }
)
print(output)

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

Run cjwbw/segmind-vegart 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/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
    "input": {
      "prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.0 seconds

cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01

Prediction

Model

ID

uru4mitbf33hus26q2do2jbhoq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.1s

Created

over 1 year ago

Input

prompt: Envision a portrait of an elderly woman, her face a canvas of time, framed by a headscarf with muted tones of rust and cream. Her eyes, blue like faded denim. Her attire, simple yet dignified
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)
num_inference_steps: 4

{
  "prompt": "Envision a portrait of an elderly woman, her face a canvas of time, framed by a headscarf with muted tones of rust and cream. Her eyes, blue like faded denim. Her attire, simple yet dignified",
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
  "num_inference_steps": 4
}

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

const output = await replicate.run(
  "cjwbw/segmind-vegart:95be94f58749a793ad91388597f17882bb1bbc734daa892fc20fde789f9b1c01",
  {
    input: {
      prompt: "Envision a portrait of an elderly woman, her face a canvas of time, framed by a headscarf with muted tones of rust and cream. Her eyes, blue like faded denim. Her attire, simple yet dignified",
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      num_inference_steps: 4
    }
  }
);

// 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.