Qwen-Image-2512 LoRA Trainer: Training

Train custom Qwen-Image-2512 LoRA adapters from a zip dataset. Auto-tuned hyperparameters, 10x faster iteration, pay-per-step pricing on Muapi.

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Overview

About this model

Qwen-Image-2512 LoRA Trainer fine-tunes the newer Qwen-Image-2512 checkpoint directly from a zipped image dataset, letting you teach it a specific character, brand style, or object concept without managing your own training infrastructure. Training runs 10x faster than a manual setup thanks to auto-tuned learning rates and step counts, while still exposing full control over steps, learning_rate, and lora_rank for advanced users. Upload 4 or more images (optionally paired with .txt caption files) and receive a downloadable .safetensors LoRA weights file once training completes, ready to plug back into Qwen-Image-2512 generations.

1Qwen-Image-2512 Customization: Fine-tune the newer Qwen-Image-2512 checkpoint for a targeted visual style or domain.

2Character & Subject Consistency: Teach the model a specific character, product, or digital avatar for repeatable generations.

3Artistic Style Training: Train a custom LoRA to capture a distinct illustration, rendering, or photographic look.

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Pricing & Value

Cost analysis

Provider	Cost	Notes
muapiapp	$2.00 per 1,000 steps	Pay per training step with auto-tuned defaults and zero setup overhead.
Fal.ai	Not available	Qwen-Image-2512 LoRA Trainer is not hosted on Fal.ai.
Replicate	Not available	Qwen-Image-2512 LoRA Trainer is not hosted on Replicate.

muapiapp$2.00 per 1,000 steps

Pay per training step with auto-tuned defaults and zero setup overhead.

Fal.aiNot available

Qwen-Image-2512 LoRA Trainer is not hosted on Fal.ai.

ReplicateNot available

Qwen-Image-2512 LoRA Trainer is not hosted on Replicate.

* Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

Parameter	Type	Description	Default
Dataset Zip URL	string	URL to zip archive with images. Try to use at least 4 images in general the more the better. In addition to images the archive can contain text files with captions.	`undefined`
Trigger Word	string	Optional trigger word. If a caption file exists, it is prepended when not already present.	`example`
Steps	int	Number of steps to train the LoRA on.	`1000`
Learning Rate	float	Learning rate for Qwen-2512 LoRA training.	`0.0004`
LoRA Rank	int	LoRA rank dimension.	`16`

Dataset Zip URLstring

URL to zip archive with images. Try to use at least 4 images in general the more the better. In addition to images the archive can contain text files with captions.

Default Valueundefined

Trigger Wordstring

Optional trigger word. If a caption file exists, it is prepended when not already present.

Default Valueexample

Stepsint

Number of steps to train the LoRA on.

Default Value1000

Learning Ratefloat

Learning rate for Qwen-2512 LoRA training.

Default Value0.0004

LoRA Rankint

LoRA rank dimension.

Default Value16

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Implementation Guide

Developer documentation

How to Use Qwen-Image-2512 LoRA Trainer API

Prepare your dataset: Create a .zip archive with at least 4 high-quality training images. Optionally include .txt caption files sharing the same base filename as each image.
Set training parameters: Customize trigger_word, steps (default 1000, range 1,000-10,000), learning_rate (default 0.0004), and lora_rank (default 16, range 1-64).
Submit the request via API:

curl -X POST "https://api.muapi.ai/api/v1/qwen-image-2512-lora-trainer" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "data": "https://example.com/my-qwen-2512-dataset.zip",
    "trigger_word": "qwen2512_character",
    "steps": 1000,
    "learning_rate": 0.0004,
    "lora_rank": 16
  }'

Fetch trained weights: Once status reaches completed, the response's outputs array contains a download URL for your trained .safetensors file.

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Common Questions

Frequently asked

What is Qwen-Image-2512 LoRA Trainer?

Qwen-Image-2512 LoRA Trainer is an asynchronous API that fine-tunes custom LoRA adapters for the Qwen-Image-2512 checkpoint from a zipped image dataset, with auto-tuned defaults and customizable hyperparameters.

How is this different from the standard Qwen-Image LoRA Trainer?

This trainer targets the newer Qwen-Image-2512 checkpoint specifically, so LoRAs it produces are meant to be paired with Qwen-Image-2512 generations rather than the earlier Qwen-Image base model.

What is the recommended dataset format?

Upload a `.zip` file containing PNG or JPEG images. You can optionally include corresponding `.txt` caption files named identically to each image file.

What is the default learning rate for Qwen-Image-2512 LoRA training?

The default learning rate is 0.0004, tuned for fast convergence across typical image datasets. You can override it between 0 and 1.

How many steps can I configure?

You can configure training steps anywhere between 1,000 and 10,000, with 1,000 steps serving as the default recommendation for most datasets.

What output is produced upon completion?

When status reaches completed, the outputs array provides a direct download URL for your trained Qwen-Image-2512 LoRA weights file.