Prediction

ID

6uf6bm72wfcl3nrnyqbeojzb5i

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.8s

Created

about 2 years ago by @fofr

Input

top_p: 1
prompt: Image: a gaugin painting
max_length: 100
temperature: 1
repetition_penalty: 1.5

{
  "top_p": 1,
  "prompt": "Image: a gaugin painting",
  "max_length": 100,
  "temperature": 1,
  "repetition_penalty": 1.5
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/image-prompts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
  {
    input: {
      top_p: 1,
      prompt: "Image: a gaugin painting",
      max_length: 100,
      temperature: 1,
      repetition_penalty: 1.5
    }
  }
);

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

output = replicate.run(
    "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    input={
        "top_p": 1,
        "prompt": "Image: a gaugin painting",
        "max_length": 100,
        "temperature": 1,
        "repetition_penalty": 1.5
    }
)

# The fofr/image-prompts model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/fofr/image-prompts/api#output-schema
    print(item, end="")

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

Run fofr/image-prompts 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": "ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    "input": {
      "top_p": 1,
      "prompt": "Image: a gaugin painting",
      "max_length": 100,
      "temperature": 1,
      "repetition_penalty": 1.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Prompt: a gaugin painting, water, the garden at sunset, fenegrean, daffodils, and an island with palm trees, 1950 --ar 3:2

Generated in

1.7 seconds

fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff

Prediction

Model

ID

35cr7ynglvggfphvphi644db5a

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.5s

Created

about 2 years ago

Input

top_p: 1
prompt: Image: a weird flan
max_length: 100
temperature: 1
repetition_penalty: 1.5

{
  "top_p": 1,
  "prompt": "Image: a weird flan",
  "max_length": 100,
  "temperature": 1,
  "repetition_penalty": 1.5
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/image-prompts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
  {
    input: {
      top_p: 1,
      prompt: "Image: a weird flan",
      max_length: 100,
      temperature: 1,
      repetition_penalty: 1.5
    }
  }
);

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

output = replicate.run(
    "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    input={
        "top_p": 1,
        "prompt": "Image: a weird flan",
        "max_length": 100,
        "temperature": 1,
        "repetition_penalty": 1.5
    }
)

# The fofr/image-prompts model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/fofr/image-prompts/api#output-schema
    print(item, end="")

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

Run fofr/image-prompts 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": "ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    "input": {
      "top_p": 1,
      "prompt": "Image: a weird flan",
      "max_length": 100,
      "temperature": 1,
      "repetition_penalty": 1.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Prompt: a weird flan, made with creme, maple syrup, mangoes, strawberries, cherries, pine nuts and pecans, fried on an electric stovetop, iced and covered in caramel; bklyn / washington d.c. --ar 2:1

Generated in

2.4 seconds

fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff

Prediction

Model

ID

id73uksnlrfd7fikjhuedwz4ya

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.5s

Created

about 2 years ago by @fofr

Input

top_p: 1
prompt: Image: a painting of a flan
max_length: 100
temperature: 1
repetition_penalty: 1.5

{
  "top_p": 1,
  "prompt": "Image: a painting of a flan",
  "max_length": 100,
  "temperature": 1,
  "repetition_penalty": 1.5
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/image-prompts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
  {
    input: {
      top_p: 1,
      prompt: "Image: a painting of a flan",
      max_length: 100,
      temperature: 1,
      repetition_penalty: 1.5
    }
  }
);

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

output = replicate.run(
    "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    input={
        "top_p": 1,
        "prompt": "Image: a painting of a flan",
        "max_length": 100,
        "temperature": 1,
        "repetition_penalty": 1.5
    }
)

# The fofr/image-prompts model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/fofr/image-prompts/api#output-schema
    print(item, end="")

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

Run fofr/image-prompts 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": "ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    "input": {
      "top_p": 1,
      "prompt": "Image: a painting of a flan",
      "max_length": 100,
      "temperature": 1,
      "repetition_penalty": 1.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Prompt: a painting of a flan, from above, dripping with syrup, dessert, traditional, summer, 3d render, illustration --ar 2:1

Generated in

1.4 seconds

fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff

Prediction

Model

ID

rboinpdgkreibe72f5i4g6ivdy

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.7s

Created

about 2 years ago

Input

top_p: 1
prompt: Image: a beautiful
max_length: 100
temperature: 1
repetition_penalty: 1.5

{
  "top_p": 1,
  "prompt": "Image: a beautiful",
  "max_length": 100,
  "temperature": 1,
  "repetition_penalty": 1.5
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run fofr/image-prompts using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
  {
    input: {
      top_p: 1,
      prompt: "Image: a beautiful",
      max_length: 100,
      temperature: 1,
      repetition_penalty: 1.5
    }
  }
);

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

output = replicate.run(
    "fofr/image-prompts:ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    input={
        "top_p": 1,
        "prompt": "Image: a beautiful",
        "max_length": 100,
        "temperature": 1,
        "repetition_penalty": 1.5
    }
)

# The fofr/image-prompts model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/fofr/image-prompts/api#output-schema
    print(item, end="")

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

Run fofr/image-prompts 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": "ba4130c13f3f1cd9771bc671bb13eab6ad5d839b2e55723b40742c03ef7f99ff",
    "input": {
      "top_p": 1,
      "prompt": "Image: a beautiful",
      "max_length": 100,
      "temperature": 1,
      "repetition_penalty": 1.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Prompt: a beautiful, bright red and orange, wildflower, beautiful, twilight, rainbows, tulips, light pink, rachel, jupiter eric, dreamlike, romantic, whimsical, watercolour, botanical --ar 3:2

Generated in

2.5 seconds