omniedgeio/cog-flux:989de316 – Run with an API on Replicate

Version

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omniedgeio /cog-flux:989de316

Input

prompt

string

Shift + Return to add a new line

a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.

Prompt

Default: "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment."

aspect_ratio

string

Aspect ratio for the generated image

Default: "1:1"

num_outputs

integer

(minimum: 1, maximum: 10)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of denoising steps, schnell mode: 4, dev mode: free to set

Default: 4

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance, for schnell mode, guiddance_scale is 0

Default: 3.5

mode

string

Prediction Mode, schnell: fast, dev: high quality but slow

Default: "schnell"

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

hf_lora

string

Shift + Return to add a new line

Huggingface path, or URL to the LoRA weights.

lora_scale

number

(minimum: 0, maximum: 1)

Scale for the LoRA weights

Default: 0.8

seed

integer

seed

Default: 77

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

npx create-replicate --model=omniedgeio/cog-flux

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";

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

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

const output = await replicate.run(
  "omniedgeio/cog-flux:989de3167fca2ae877aace28e25296f65c4fbb33804445fbfc404c2a78b425e8",
  {
    input: {
      mode: "schnell",
      seed: 77,
      prompt: "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
      lora_scale: 0.8,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      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.

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

output = replicate.run(
    "omniedgeio/cog-flux:989de3167fca2ae877aace28e25296f65c4fbb33804445fbfc404c2a78b425e8",
    input={
        "mode": "schnell",
        "seed": 77,
        "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
        "lora_scale": 0.8,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 4
    }
)
print(output)

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 omniedgeio/cog-flux 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": "989de3167fca2ae877aace28e25296f65c4fbb33804445fbfc404c2a78b425e8",
    "input": {
      "mode": "schnell",
      "seed": 77,
      "prompt": "a young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.",
      "lora_scale": 0.8,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.