Prediction

asiryan/flux-schnell:21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033

Model

asiryan/flux-schnell:21b2d145

ID

kmyqb67529rj20cj18s9f51mx4

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

80.2s

Created

8 months ago

Input

width: 1024
height: 1024
prompt: a tiny astronaut hatching from an egg on the moon
num_outputs: 1
output_format: png
output_quality: 100
prompt_strength: 0.8
num_inference_steps: 4

{
  "width": 1024,
  "height": 1024,
  "prompt": "a tiny astronaut hatching from an egg on the moon",
  "num_outputs": 1,
  "output_format": "png",
  "output_quality": 100,
  "prompt_strength": 0.8,
  "num_inference_steps": 4
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run asiryan/flux-schnell using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "asiryan/flux-schnell:21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "a tiny astronaut hatching from an egg on the moon",
      num_outputs: 1,
      output_format: "png",
      output_quality: 100,
      prompt_strength: 0.8,
      num_inference_steps: 4
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

output = replicate.run(
    "asiryan/flux-schnell:21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "a tiny astronaut hatching from an egg on the moon",
        "num_outputs": 1,
        "output_format": "png",
        "output_quality": 100,
        "prompt_strength": 0.8,
        "num_inference_steps": 4
    }
)
print(output)

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

Run asiryan/flux-schnell 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": "21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "a tiny astronaut hatching from an egg on the moon",
      "num_outputs": 1,
      "output_format": "png",
      "output_quality": 100,
      "prompt_strength": 0.8,
      "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

3.4 seconds

Tweak it ShareReport

Prediction

asiryan/flux-schnell:21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033

Model

asiryan/flux-schnell:21b2d145

ID

pthsgkvs9xrj00cj18yb5ywen4

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

2.8s

Created

8 months ago

Input

width: 1024
height: 1024
prompt: beautiful blonde girl on the beach
num_outputs: 1
output_format: png
output_quality: 100
prompt_strength: 0.8
num_inference_steps: 4

{
  "width": 1024,
  "height": 1024,
  "prompt": "beautiful blonde girl on the beach",
  "num_outputs": 1,
  "output_format": "png",
  "output_quality": 100,
  "prompt_strength": 0.8,
  "num_inference_steps": 4
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run asiryan/flux-schnell using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "asiryan/flux-schnell:21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "beautiful blonde girl on the beach",
      num_outputs: 1,
      output_format: "png",
      output_quality: 100,
      prompt_strength: 0.8,
      num_inference_steps: 4
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

output = replicate.run(
    "asiryan/flux-schnell:21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "beautiful blonde girl on the beach",
        "num_outputs": 1,
        "output_format": "png",
        "output_quality": 100,
        "prompt_strength": 0.8,
        "num_inference_steps": 4
    }
)
print(output)

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

Run asiryan/flux-schnell 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": "21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "beautiful blonde girl on the beach",
      "num_outputs": 1,
      "output_format": "png",
      "output_quality": 100,
      "prompt_strength": 0.8,
      "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

2.8 seconds

Tweak it ShareReport

Prediction

asiryan/flux-schnell:21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033

Model

asiryan/flux-schnell:21b2d145

ID

s1xepw80q9rj20cj18zaefg420

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

2.7s

Created

8 months ago

Input

width: 1024
height: 1024
prompt: black forest gateau cake spelling out the words "FLUX SCHNELL", tasty, food photography, dynamic shot
num_outputs: 1
output_format: png
output_quality: 100
prompt_strength: 0.8
num_inference_steps: 4

{
  "width": 1024,
  "height": 1024,
  "prompt": "black forest gateau cake spelling out the words \"FLUX SCHNELL\", tasty, food photography, dynamic shot",
  "num_outputs": 1,
  "output_format": "png",
  "output_quality": 100,
  "prompt_strength": 0.8,
  "num_inference_steps": 4
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run asiryan/flux-schnell using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "asiryan/flux-schnell:21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "black forest gateau cake spelling out the words \"FLUX SCHNELL\", tasty, food photography, dynamic shot",
      num_outputs: 1,
      output_format: "png",
      output_quality: 100,
      prompt_strength: 0.8,
      num_inference_steps: 4
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

output = replicate.run(
    "asiryan/flux-schnell:21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "black forest gateau cake spelling out the words \"FLUX SCHNELL\", tasty, food photography, dynamic shot",
        "num_outputs": 1,
        "output_format": "png",
        "output_quality": 100,
        "prompt_strength": 0.8,
        "num_inference_steps": 4
    }
)
print(output)

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

Run asiryan/flux-schnell 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": "21b2d1458c4afe4ba7ad2ab56cc45b862736955bacaf993acfa173e3be1b8033",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "black forest gateau cake spelling out the words \\"FLUX SCHNELL\\", tasty, food photography, dynamic shot",
      "num_outputs": 1,
      "output_format": "png",
      "output_quality": 100,
      "prompt_strength": 0.8,
      "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

2.7 seconds

Tweak it ShareReport

asiryan / flux-schnell

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (kmyqb67529rj20cj18s9f51mx4)

Logs (pthsgkvs9xrj00cj18yb5ywen4)

Logs (s1xepw80q9rj20cj18zaefg420)