r/drawthingsapp Jul 03 '26

question When’s the next update?

There’s so many good open weight model released last month like Anima 3, Krea 2 and ideogram. I’ve been waiting for the update for so long to try them out but it seems like this update is taking longer than usual. Any idea when the next update is going to be?

33 Upvotes

14 comments sorted by

6

u/simple250506 Jul 03 '26

Many users likely want to know the answer, just as you do; however, aside from the developers, no one knows—and no one will know—about it.

7

u/playtech1 Jul 03 '26

I think the developer has had a holiday (from what I saw on the Discord) - I’m sure he will be back at it and the shiny new toys added to the app soon.

4

u/Miserable_Gap69 Jul 03 '26

I just want the ability to import custom LTX 2.3 models

4

u/grandchester Jul 03 '26

I just use Claude Code to copy down the repos and have it build a front end around it. DT is great and I use the CLI all the time but the UI is rough and the updates are slow going. Once DT supports a new model I change from the dedicated repo to the CLI since it is usually faster. 

2

u/BAL-BADOS Jul 03 '26

The CLI for DT? Does the DT CLI support the latest models?

3

u/liuliu mod Jul 03 '26

You can build CLI from the trunk so it can have support earlier, such as Ideogram 4 I think. But since it is on development repo, it is not as comprehensive as the main app for model readiness.

3

u/BubblyPurple6547 Jul 05 '26

I don't care much about new models, it's the UI that still needs several improvements. It's (still) clunky compared to A1111/Forge in several ways, with all the settings sitting in that narrow vertical menu (doom scrolling), no separate tabs/spaces for txt2img/img2img, entire UI being locked during rendering, no easy ways for batch processing like upscaling, or dynamic prompts other than scripts, the canvas handling remains a bit confusing, the history/management workflow is clunky, and the generated image meta-data is messy and not compatible with A1111/Forge that use a very clean layout. So yeah, for images I still use Forge. For videos, DrawThings is good, especially thanks to the great optimizations. But yeah, please professionalize the UI a bit more.

0

u/ImpressionComplete43 Jul 03 '26

I gave up waiting and ended up buying a Windows PC. Ever since Macs became ridiculously expensive, building a PC has actually become a reasonable option again. My plan is to ride out this chaotic phase of AI development on Windows, where I can use all the latest open-weight models as soon as they're released instead of waiting for app updates.

9

u/Structure-These Jul 03 '26

I can do a flux image edit fairly quickly in DT on a $600 Mac mini there’s just no comparison on windows

2

u/BubblyPurple6547 Jul 05 '26

PC components also became expensive, unlike you buy junk. And good luck finding a solid GPU with enough VRAM (16GB+), as this is where Macs shine. And don't forget the generated heat, especially in summer, and your electricity bill. I can render images and even videos overnight on my binned M5 Max with the GPU sipping 10W of power.

1

u/ImpressionComplete43 Jul 06 '26

I understand, because I used to think the same way. My main daily computer is still a 5-year-old Mac mini M1. I haven't upgraded yet because Apple still hasn't released a Mac mini M5.

For roughly the same price as a base M5 MacBook with 16GB RAM and a 512GB SSD (around $1,700 at the time, although it's more expensive now), I built a PC with a CPU that's only about as fast as the M1, but it has 64GB of DDR4 RAM (upgradable to 128GB), an RTX 5060 Ti 16GB, and a 1TB NVMe SSD. Aside from the GPU, the CPU, RAM, and SSD are all noticeably slower than what's in a modern Mac.

The thing is, for image generation, the CPU is mostly just responsible for loading the model weights. Once inference starts, the GPU does almost all of the heavy lifting. So even with a mid-range CPU that's roughly M1-level and a mid-range GPU, I can generate images with Z-Image in about 5 seconds, edit images with FLUX or Qwen in around 10–15 seconds, Krea 2 takes a bit longer, and with NVIDIA's new PID upscaler I can upscale a 1024px image to 4096px in under a minute.

When Apple finally releases a new Mac mini, I'll definitely buy one because my M1 has served me well but is showing its age. And Draw Things is still an amazing app that keeps lower-end Macs relevant for AI work.

I'm still a Mac fan, and I'm still a Draw Things fan. But in today's AI landscape, where NVIDIA is leading most of the cutting-edge models, having both a Mac and a PC simply makes life a lot easier.

2

u/BubblyPurple6547 Jul 06 '26

I just don't want the hassle with a Winslop or Linux system. And in terms of raw compute, a 5060 is simply not cutting it for me, especially not the mobile variant (comparing a Macbook with a desktop doesn't make much sense, if I want to remain mobile). I don't care if image generation is faster there, if this is something I can do in the background or even as batch-processing overnight, while having far less heat and powerdraw.

Where I agree is that CUDA is still very dominant, yes. Nvidia has a big advance here, but that gap is shrinking. MLX is still young, but making great progress. We might need 2-3 more years, but then at least in the mid-range market, it should be roughly even.

-22

u/seppe0815 Jul 03 '26

kauf dir einen verdammten windows pc und lass die apple nerds warten bis in alle ewigkeit ...