FLUX LORA Trainer
Flux LoRA Trainer: Custom styles from your images.
A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.
Flux LoRA Trainer lets you teach a model your unique visual style using a small set of example images. Simply upload 10-20 photos of a person, object, or art style, and the trainer creates a lightweight adapter that can be applied to new generations. This makes it easy to maintain visual consistency across projects, whether you're designing a comic character, a product line, or a personal avatar. The resulting LoRA can be reused and combined with other prompts, giving you fine-grained control over your creative output.
- Creating consistent character portraits
- Branding with a specific product or logo style
- Generating themed art for social media
- Designing custom avatars or mascots
- Replicating a particular artistic technique
Trains a LoRA from 10-20 images in minutes, not hours.
No machine learning expertise needed — just upload images and describe your subject.
The resulting LoRA file is small and can be applied to any compatible generation.
- Use images with clear, consistent lighting and composition.
- Include a variety of angles and expressions for character training.
- Avoid images with watermarks, text, or busy backgrounds.
- Start with a descriptive prompt that includes your LoRA trigger word.
- Requires at least 10 high-quality, varied images for best results.
- May struggle with very abstract or highly detailed concepts.
- LoRA quality depends on the consistency of the training images.
A heroic full-body illustration of <lora:my-character> standing on a cliff at sunset, dramatic clouds, epic fantasy, 4K
A friendly mascot version of <lora:my-brand> holding a coffee cup, warm colors, vector art style, clean background
A close-up portrait of <lora:my-subject> with glowing neon lights, cyberpunk aesthetic, rain reflections, high contrast
A number that sets the starting randomness — use the same seed to recreate an image.
How many refinement passes the model makes — more steps can mean more detail but take longer.
How strongly the trained LoRA style is applied — lower values mix it with the base model.
The shape of the output image, like square (1:1) or wide (16:9).
How closely the output follows your prompt — higher values stick more to the text.
Os preços exibidos são o que você paga na Muitto. Sem surpresas.
How many images do I need to train a LoRA?
We recommend 10-20 high-quality images for a good result.
Can I use the LoRA with other models?
The LoRA is compatible with any model that supports the same architecture.
How long does training take?
Training typically completes in a few minutes depending on image count and complexity.