lucataco / flux.1-turbo-alpha

8-step distilled lora for FLUX.1-dev model released by the Alimama-Creative Team

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1.9K runs
A100 (80GB)
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Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through spacea light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space

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: 8

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=lucataco/flux.1-turbo-alpha

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 lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915",
  {
    input: {
      prompt: "a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space",
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      num_inference_steps: 8
    }
  }
);

// 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 lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915",
    input={
        "prompt": "a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 8
    }
)
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 lucataco/flux.1-turbo-alpha 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": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915",
    "input": {
      "prompt": "a light bulb, instead of the usual filament, there\'s a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it\'s powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-16T03:53:47.326944Z",
  "created_at": "2024-10-16T03:53:43.330000Z",
  "data_removed": false,
  "error": null,
  "id": "rqc525eam9rj60cjjdtr7w31cw",
  "input": {
    "prompt": "a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 21537\nPrompt: a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space\ntxt2img mode\n  0%|          | 0/8 [00:00<?, ?it/s]\n 12%|█▎        | 1/8 [00:00<00:03,  2.20it/s]\n 25%|██▌       | 2/8 [00:00<00:02,  2.89it/s]\n 38%|███▊      | 3/8 [00:01<00:01,  2.52it/s]\n 50%|█████     | 4/8 [00:01<00:01,  2.38it/s]\n 62%|██████▎   | 5/8 [00:02<00:01,  2.31it/s]\n 75%|███████▌  | 6/8 [00:02<00:00,  2.27it/s]\n 88%|████████▊ | 7/8 [00:03<00:00,  2.24it/s]\n100%|██████████| 8/8 [00:03<00:00,  2.23it/s]\n100%|██████████| 8/8 [00:03<00:00,  2.31it/s]",
  "metrics": {
    "predict_time": 3.985786937,
    "total_time": 3.996944
  },
  "output": [
    "https://replicate.delivery/yhqm/q9DhObZXYwqhLVD7TVueOsLGzTkXn8KiJlJXu56MNG5lVnzJA/out-0.webp"
  ],
  "started_at": "2024-10-16T03:53:43.341157Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rqc525eam9rj60cjjdtr7w31cw",
    "cancel": "https://api.replicate.com/v1/predictions/rqc525eam9rj60cjjdtr7w31cw/cancel"
  },
  "version": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915"
}

Generated in

4.0 seconds

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Examples

View more examples

Run time and cost

This model costs approximately $0.13 to run on Replicate, or 7 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 95 seconds. The predict time for this model varies significantly based on the inputs.

Readme

About

This repository provides a 8-step distilled lora for FLUX.1-dev model released by AlimamaCreative Team.

Description

This checkpoint is a 8-step distilled Lora, trained based on FLUX.1-dev model. We use a multi-head discriminator to improve the distill quality. Our model can be used for T2I, inpainting controlnet and other FLUX related models. The recommended guidance_scale=3.5 and lora_scale=1. Our Lower steps version will release later.

Text-to-Image.

With alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta. Our distilled lora can be well adapted to the Inpainting controlnet, and the accelerated generated effect can follow the original output well.

How to use

diffusers

This model can be used directly with diffusers

comfyui

T2I turbo workflow: click here
Inpainting controlnet turbo workflow: click here

Training Details

The model is trained on 1M open source and internal sources images, with the aesthetic 6.3+ and resolution greater than 800. We use adversarial training to improve the quality. Our method fix the original FLUX.1-dev transformer as the discriminator backbone, and add multi heads to every transformer layer. We fix the guidance scale as 3.5 during training, and use the time shift as 3.

Mixed precision: bf16

Learning rate: 2e-5

Batch size: 64

Image size: 1024x1024

Licensing and commercial use

If you generate images on Replicate with FLUX.1 models and their fine-tunes, then you can use the images commercially.

If you download the weights off Replicate and generate images on your own computer, you can’t use the images commercially.