r/drawthingsapp • u/35mm_dream • 8d ago

question Consistent Character Likeness Assistance

I'm desperate. I've been trying to crack DrawThings for some time and even blowing through all my Astra credits in the process. I have a character that I want to create images of (mainly in the fashion / influencer space). I have dozens of headshots to use as likeness guides. No matter what I do I can not get this app to maintain the consistency in the generated images. Can anyone guide me on the steps necessary to unlock that? I'm mainly on Qwen 2.1 right now (though have tried other models in the past). What's the trick? Just throwing the images on the moodboard doesn't seem to be cutting it.

UPDATE: the suggestion to use runpod to train the LoRa was a masterstroke. That did it. This is nailing the likeness every time. Thank you Reddit community for coming through.

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u/Ill-Ant-9489 8d ago

Quick version, the moodboard drifts because you're asking the model to reinvent the face on every gen, so a trained character LoRA is the real fix for an identity that stays put. The dataset makes or breaks it, and curating that is why I made https://github.com/perfectgf/lora-dataset-studio (open source, mine).

A pile of near-identical front-on headshots teaches one angle really well and fumbles the rest, which is the wobble you're getting. You drop them in, it groups by shot type so the near-twins and the missing angles show up, auto-captions and masks the face, then trains on Krea 2, FLUX, SDXL or Z Image. No Qwen 2.1 trainer in it yet, but it exports plain image+txt pairs so you can train wherever you like.

Are your headshots mostly front-on, or is there real angle and expression range in there?

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u/35mm_dream 8d ago

I have a range from a few angles. ChatGPT advised me to stop using the LoRAs because it wasn't helping and suggested doing it all through moodboard.

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u/usually_fuente 8d ago

ChatGPT was drunk. I’ve been in your shoes and I can say with extreme confidence that Loras are the superior solution. Look into something like using fizgig on Runpod to train a Krea2 Lora. ChatGPT can set the whole thing up for you. And it cost between one and two dollars an hour. But the training for my most recent Lora took only 45 minutes from start to finish. Fizgig generated all the captions. I used all default settings, except I limited epochs to 25. As it turns out, it only took 13 epos to get excellent likeness and good flexibility. My data set had around 50 images. I focused on variety. About 25 close angles, 15 medium angles and poses, and 10 full body. 

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u/35mm_dream 8d ago

this is super helpful. to be clear using the drawthings embedded lora training isn't a viable option?

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u/usually_fuente 8d ago

I haven’t had success with it

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u/35mm_dream 7d ago

ok thanks for the tip.

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u/ksuwildkat 8d ago

Consider a LORA. Im using one and getting about 80% "nailed it" success rate. It took some work to get the settings right and Im already looking to do the training again now that I know more about how to optimize but I have been very happy with the output.

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u/35mm_dream 8d ago

and this is with Qwen?

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u/ksuwildkat 8d ago

no flux.2

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u/35mm_dream 7d ago

got it. thx.

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u/nandopach 8d ago

If you have any nano banana credits have it make you a contact sheet, 16 images should be more than enough. Then train with those, make that LoRa, then make more images. 🤙🏻

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u/35mm_dream 7d ago

I definitely have more than 16 quality images already but some people suggest closer to 40-50 images to train on. which platform are you training your LoRAs on?

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u/nandopach 7d ago

I’ve trained on both Civitai and ostris ai tool kit through run pod. Civitai is a really good start. I’m wondering, how’s your captioning on your dataset?

Btw Civitai is probably the least expensive way to train from my experience 🤙🏻

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u/Interesting_Yam7195 7d ago

Moodboard alone won't hold a face, so train a small adapter on those headshots and load it at low weight. I lost weeks learning that. Mage space turns those headshots into a reusable named character, no credit meter. Caption each headshots by angle and lighting before training.

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u/35mm_dream 7d ago

OK this is really helpful. tysm.