Intro · 1:45
Kontext training intro
Training a LoRA on Flux.1 Kontext.
- Flux.1 Kontext does instruction-based edits.
- Train a LoRA for a specific edit.
- AI Toolkit supports it.
| Concept | Meaning |
|---|---|
| Kontext | Edit model |
| LoRA | Custom edit |
Do this in your own tools, step by step. Ticks are saved on this device.
Kontext does?
Instruction-based edits.
Train?
An edit LoRA.
0:03 I spent the entire day adding it to AI toolkit and see that over here. Uh so we're going to train a lura today with it. So we're there's a few different ways you can train lures with this. You could do just straight style where you don't have a paired image set. So this would be like your traditional training. So you're just going to teach the model concepts. Flux dev lures don't work great with it. uh they'll kind of work with it, but uh really fine-tuning the lore directly on this model itself will work better.
0:53 If you do pure concepts, and this is the way I think a lot of the um cloud trainer people are doing it, uh you're going to not have the same effect. So, you'll lose some of the reproducibility in the image. It won't be a perfect one for one um because you're just teaching it a concept that doesn't really know what to do with that. and as you train it, it's going to break down if you don't have the control pair.
1:14 That being said, uh to get started, you can come over here to AI toolkit. Today, we're going to be using RunPod as a cloud compute, but uh there's a link in the in the description for this. You can come down here. It'll tell you how to install it for Linux, Windows, uh won't work on Mac. And that's it. Once you do that, you'll be up and running. or if you want to do a cloud compute, that's what we're going to do today on RunPod.
1:38 If you're going to use RunPod and you haven't signed up, uh I'll have an affiliate link in the description. Please use that. Just gives me a little extra compute. So, let's come over here. You can go to RunPod, sign in, do all your stuff. Um I'm going to come over here to pods. I'm going to train on a 5090. This is
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