black-forest-labs / flux-pro-trainer

Train FLUX.1 [pro] and FLUX 1.1 [pro] Ultra. Upload images to create a custom finetune_id to use with the inference model (Updated 1 month, 3 weeks ago)

Warm

Public
1.6K runs
Priced by multiple properties
Commercial use
Paper
License

Iterate in playground

Run with an API

Playground API Examples README

Prediction

black-forest-labs/flux-pro-trainer

Official model

black-forest-labs/flux-pro-trainer

0dfc7pwdaxrme0cpg86sqf1ky0

Status

Succeeded

Source

Web

Total duration

11m 20s

Created

about 2 months ago

Input

mode: general
priority: quality
lora_rank: 32
captioning: captioning-disabled
input_images: ABSRTBNGS.zip
trigger_word: ABSRTBNGS
finetune_type: full
training_steps: 300

{
  "mode": "general",
  "priority": "quality",
  "lora_rank": 32,
  "captioning": "captioning-disabled",
  "input_images": "https://replicate.delivery/pbxt/MvDQOp1uNVTNjYxI9wnvyqXNMumlUzQdBFFPvkqNyIkkG1Rn/ABSRTBNGS.zip",
  "trigger_word": "ABSRTBNGS",
  "finetune_type": "full",
  "training_steps": 300
}

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 black-forest-labs/flux-pro-trainer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  mode: "general",
  priority: "quality",
  lora_rank: 32,
  captioning: "captioning-disabled",
  input_images: "https://replicate.delivery/pbxt/MvDQOp1uNVTNjYxI9wnvyqXNMumlUzQdBFFPvkqNyIkkG1Rn/ABSRTBNGS.zip",
  trigger_word: "ABSRTBNGS",
  finetune_type: "full",
  training_steps: 300
};

const output = await replicate.run("black-forest-labs/flux-pro-trainer", { input });

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

Import the client:

import replicate

Run black-forest-labs/flux-pro-trainer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "black-forest-labs/flux-pro-trainer",
    input={
        "mode": "general",
        "priority": "quality",
        "lora_rank": 32,
        "captioning": "captioning-disabled",
        "input_images": "https://replicate.delivery/pbxt/MvDQOp1uNVTNjYxI9wnvyqXNMumlUzQdBFFPvkqNyIkkG1Rn/ABSRTBNGS.zip",
        "trigger_word": "ABSRTBNGS",
        "finetune_type": "full",
        "training_steps": 300
    }
)
print(output)

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

Run black-forest-labs/flux-pro-trainer 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 $'{
    "input": {
      "mode": "general",
      "priority": "quality",
      "lora_rank": 32,
      "captioning": "captioning-disabled",
      "input_images": "https://replicate.delivery/pbxt/MvDQOp1uNVTNjYxI9wnvyqXNMumlUzQdBFFPvkqNyIkkG1Rn/ABSRTBNGS.zip",
      "trigger_word": "ABSRTBNGS",
      "finetune_type": "full",
      "training_steps": 300
    }
  }' \
  https://api.replicate.com/v1/models/black-forest-labs/flux-pro-trainer/predictions

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