xlabs-ai/flux-dev-realism:39b3434f – Run with an API on Replicate

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xlabs-ai /flux-dev-realism:39b3434f

Playground API Setup logs

Input

prompt

string

Shift + Return to add a new line

Default: ""

aspect_ratio

string

Aspect ratio for the generated image

Default: "1:1"

num_outputs

integer

(minimum: 1, maximum: 4)

Number of outputs to generate

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps. Recommended range is 28-50

Default: 30

guidance

number

(minimum: 0, maximum: 10)

Guidance for generated image

Default: 3.5

lora_strength

number

(minimum: 0, maximum: 2)

Strength of flux-realism lora, 0 is disabled

Default: 0.8

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 80

seed

integer

Set a seed for reproducibility. Random by default.

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

npx create-replicate --model=xlabs-ai/flux-dev-realism

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 xlabs-ai/flux-dev-realism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "xlabs-ai/flux-dev-realism:39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa",
  {
    input: {
      prompt: "",
      guidance: 3.5,
      num_outputs: 1,
      aspect_ratio: "1:1",
      lora_strength: 0.8,
      output_format: "webp",
      output_quality: 80,
      num_inference_steps: 30
    }
  }
);
console.log(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 xlabs-ai/flux-dev-realism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "xlabs-ai/flux-dev-realism:39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa",
    input={
        "prompt": "",
        "guidance": 3.5,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "lora_strength": 0.8,
        "output_format": "webp",
        "output_quality": 80,
        "num_inference_steps": 30
    }
)
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 xlabs-ai/flux-dev-realism 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": "39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa",
    "input": {
      "prompt": "",
      "guidance": 3.5,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "lora_strength": 0.8,
      "output_format": "webp",
      "output_quality": 80,
      "num_inference_steps": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run xlabs-ai/flux-dev-realism using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/xlabs-ai/flux-dev-realism@sha256:39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa \
  -i 'prompt=""' \
  -i 'guidance=3.5' \
  -i 'num_outputs=1' \
  -i 'aspect_ratio="1:1"' \
  -i 'lora_strength=0.8' \
  -i 'output_format="webp"' \
  -i 'output_quality=80' \
  -i 'num_inference_steps=30'

To learn more, take a look at the Cog documentation.

Pull and run xlabs-ai/flux-dev-realism using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/xlabs-ai/flux-dev-realism@sha256:39b3434f194f87a900d1bc2b6d4b983e90f0dde1d5022c27b52c143d670758fa
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "",
      "guidance": 3.5,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "lora_strength": 0.8,
      "output_format": "webp",
      "output_quality": 80,
      "num_inference_steps": 30
    }
  }' \
  http://localhost:5000/predictions

Output

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