bytedance/hyper-flux-16step:382cf895 | Run with an API on Replicate

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bytedance /hyper-flux-16step:382cf895

Input

prompt

*string

Shift + Return to add a new line

womens street skateboarding final in Paris Olympics 2024womens street skateboarding final in Paris Olympics 2024

Prompt for generated image

aspect_ratio

string

Aspect ratio for the generated image. The size will always be 1 megapixel, i.e. 1024x1024 if aspect ratio is 1:1. To use arbitrary width and height, set aspect ratio to 'custom'.

Default: "1:1"

width

integer

(minimum: 256, maximum: 1440)

Width of the generated image. Optional, only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16)

height

integer

(minimum: 256, maximum: 1440)

Height of the generated image. Optional, only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16)

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 30)

Number of inference steps

Default: 16

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale for the diffusion process

Default: 3.5

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 80

disable_safety_checker

boolean

Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)

Default: false

Run this model in Node.js with one line of code:

npx create-replicate --model=bytedance/hyper-flux-16step

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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 bytedance/hyper-flux-16step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bytedance/hyper-flux-16step:382cf8959fb0f0d665b26e7e80b8d6dc3faaef1510f14ce017e8c732bb3d1eb7",
  {
    input: {
      prompt: "womens street skateboarding final in Paris Olympics 2024",
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      num_inference_steps: 16
    }
  }
);

// 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run bytedance/hyper-flux-16step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bytedance/hyper-flux-16step:382cf8959fb0f0d665b26e7e80b8d6dc3faaef1510f14ce017e8c732bb3d1eb7",
    input={
        "prompt": "womens street skateboarding final in Paris Olympics 2024",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 16
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run bytedance/hyper-flux-16step 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/hyper-flux-16step:382cf8959fb0f0d665b26e7e80b8d6dc3faaef1510f14ce017e8c732bb3d1eb7",
    "input": {
      "prompt": "womens street skateboarding final in Paris Olympics 2024",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 16
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-04T22:40:59.979452Z",
  "created_at": "2024-10-04T22:40:55.990000Z",
  "data_removed": false,
  "error": null,
  "id": "fcmzravrpsrm40cjb6rsjbrvrr",
  "input": {
    "prompt": "womens street skateboarding final in Paris Olympics 2024",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 16
  },
  "logs": "Using seed: 57819\nPrompt: womens street skateboarding final in Paris Olympics 2024\ntxt2img mode\n  0%|          | 0/16 [00:00<?, ?it/s]\n  6%|▋         | 1/16 [00:00<00:03,  4.33it/s]\n 12%|█▎        | 2/16 [00:00<00:02,  5.50it/s]\n 19%|█▉        | 3/16 [00:00<00:02,  4.89it/s]\n 25%|██▌       | 4/16 [00:00<00:02,  4.65it/s]\n 31%|███▏      | 5/16 [00:01<00:02,  4.49it/s]\n 38%|███▊      | 6/16 [00:01<00:02,  4.43it/s]\n 44%|████▍     | 7/16 [00:01<00:02,  4.39it/s]\n 50%|█████     | 8/16 [00:01<00:01,  4.36it/s]\n 56%|█████▋    | 9/16 [00:02<00:01,  4.34it/s]\n 62%|██████▎   | 10/16 [00:02<00:01,  4.33it/s]\n 69%|██████▉   | 11/16 [00:02<00:01,  4.32it/s]\n 75%|███████▌  | 12/16 [00:02<00:00,  4.31it/s]\n 81%|████████▏ | 13/16 [00:02<00:00,  4.30it/s]\n 88%|████████▊ | 14/16 [00:03<00:00,  4.30it/s]\n 94%|█████████▍| 15/16 [00:03<00:00,  4.30it/s]\n100%|██████████| 16/16 [00:03<00:00,  4.30it/s]\n100%|██████████| 16/16 [00:03<00:00,  4.40it/s]",
  "metrics": {
    "predict_time": 3.984317216,
    "total_time": 3.989452
  },
  "output": [
    "https://replicate.delivery/yhqm/OB6eQcqOkvQfrkTSW4ogewaSg2OkEEe9cIDsAQecRof8eBxxJA/out-0.webp"
  ],
  "started_at": "2024-10-04T22:40:55.995135Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fcmzravrpsrm40cjb6rsjbrvrr",
    "cancel": "https://api.replicate.com/v1/predictions/fcmzravrpsrm40cjb6rsjbrvrr/cancel"
  },
  "version": "382cf8959fb0f0d665b26e7e80b8d6dc3faaef1510f14ce017e8c732bb3d1eb7"
}

Generated in

4.0 seconds

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