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  • Loradex Trainer Program Rules
  • Loradex Trainer Tips
  • Loradex Trainer FAQs
  1. Programs

Loradex Trainer Program

Gotta train 'em all!

PreviousCommunity GuidelinesNextResources Created by Glif Community Members

Last updated 5 months ago

What is the Loradex Trainer Program?

The team here at Glif is all about supporting AI innovation and creativity. This limited program is a way for us to help AI creators by giving them easy access to the tools they need to create their first Low-Rank Adaptation (LoRA) model.

How do I apply to join?

  • Assemble up to 10 inspo images for training.

  • Submit the images with an intro to the #loradex-applicationchannel in our Discord server, along with your Glif profile link.

Who Should Apply:

  • Aspiring LoRA trainers eager to level up their Flux Dev skills (no experience needed!).

  • Creative minds bursting with ideas for unique styles and models.

  • Open-source diehards ready to share their creations with the world.

  • Team players who thrive on collaborative growth and friendly competition.

What happens after I’m accepted into the Loradex Trainer Program?

Our team will send you details on how to get started after your application is approved!


Loradex Trainer Program Rules

  • Keep all training community-friendly. No NSFW material allowed.

  • No training on clearly protected IP (sorry, Disney fans!). When sourcing your training materials, be mindful of copyright concerns:

    • Avoid training on collections of images from a single artist or franchise.

    • Diverse image sets from various sources are preferred.

    • Consider whether your model might generate infringing outputs.

  • Focus on innovation: Aim to create unique styles rather than replicating existing ones.

  • Do not reproduce real people: These models will be posted publicly, and we're not ok with real faces being attached, consenting or otherwise.


Loradex Trainer Tips

Image recommendations

We recommend images that are:

  • Diverse in content

  • Consistent in style

  • Captioned simply

In our tests, we found that using a known generic token that relates to the style works best, such as β€œvintage anime style.”

Captions

Keep your captions short and sweet, describing details in the images such as the scene or characters portrayed. For style training, avoid adding extra words to describe aesthetic elements, unless you plan to use them in prompts later.

Use β€˜[trigger]’ to insert the trigger word in your caption.

Start with the presets!

We've developed some stellar presets to get you started! Before adjusting numerous settings, begin with hyperparameters that we're familiar with. This approach makes it easier to troubleshoot if you encounter any issues.

Sometimes 1000 Steps is Enough!

Depending on what you are trying to train, you may find that 1000-1500 training steps are perfect for you. It is often easier to tell if a model is undertrained than if it is overtrained, so start with a shorter training session and try again with 500-1000 more steps if your LoRA doesn't seem ready.

Don't Go Crazy with the Dataset

Sometimes less is more when training Flux Dev. Try sticking to 20-40 training images to start out. It's possible to train with as few as 5 or 6. We find that the training can be a little trickier under 10 images or over 50.

Success is Relative

Ease of training depends a lot on what you are trying to achieve. If you are trying to train something really unique that the Flux model doesn't have much context for, it will take a lot longer than if you train something more generic or iconic. You can usually tell after 1000 steps how quickly the style will learn!

Synthetic vs. Human Created Data

In general, training is much faster when your training images were generated with AI. However, if your AI images have hallucinations in them, the model will learn that as well, and sometimes this leads to poorer results. Human-made data often takes longer to learn, but typically has much cleaner and crisper details, and preserves small details better. You can also mix synthetic and human data for cool results!

Example Images


Loradex Trainer FAQs

Q: Where can I train my LoRA?

A: If you are accepted into the Loradex Trainer Program, you will receive credentials and a link to our private tool.

Q: Is my LoRA public?

A: Yes, your models will be shared open-source on our Huggingface page. Please keep this in mind when you are preparing your models.

Q: Where can I find and download my completed LoRA?

Q: What copyright claim do I have to my LoRA?

A: You are recognized as the creator of your LoRA in highlights of the LoRA. For commercial use, Flux Dev LoRAs may inherit NC licensing via the Dev License unless you have a license with BFL. All LoRAs published during early access are under CC0 licensing (no rights reserved).

Q: How can I use my LoRA within Glif?

Q: Where can I get help creating my LoRA?

Read

You can also find these rules in the #rules channel in the Glif Loradex Trainer section

Ideally, train on your own art or on public domain resources ( has a ton of amazing styles that are public domain).

Once your training has been submitted, it will automatically generate example images in increments of 500 in the #live-training

A: All stored LoRAs are publicly accessible on our HuggingFace account: Creators can download their LoRAs and use them on other platforms, including but not limited to Glif!

A: We have a handy guide that covers this in more detail

A: Chat with us in the #discussion channel in the Glif Loradex Trainer section of

πŸ–ΌοΈ
Sign up for Glif!
Join the Glif discord.
in our Discord server.
Artvee.com
Discord channel.
https://huggingface.co/glif-loradex-trainer
on our company blog!
our Discord server!
the rules below.