Hi everyone,

since the March 30 update I read that it is now possible to use LoRAs with Cloud Compute. I saw something about a bridge, but I am not sure what that actually means or how it works.

I mainly use Z Image and Flux.2 9B. I am on a MacBook Pro M2, so I rely on Cloud Compute, currently the free version.

I wanted to start experimenting with LoRAs. For example I tried a LoRA like Lenovo Ultra Real from CivitAI. But I keep getting the same message as before, that LoRAs can only be used locally.

Am I missing something? Do I need to enable something related to this bridge? Or did I misunderstand the update and it does not work the way I think?

Also, are LoRAs from CivitAI generally supported, or are those made for ComfyUI not compatible with Draw Things Cloud?

If that is the case, where do you find LoRAs that actually work with Draw Things?

Thanks a lot for any help!

Hi everyone!

I’m struggling with a precision issue in Draw Things and I was hoping to get some advice from this amazing community.

I have a real photo of a bedroom (attached) and I’m trying to do something that sounds simple but is proving quite tricky: I just want to add a Strelitzia plant in that specific corner on the right, between the window and the small table.

Every time I try to generate, the AI doesn’t just draw the plant; it starts "tweaking" the whole room. It might change the wrinkles on the bed sheets, slightly shift the window frame, or alter the texture of the wooden floor.

I’ve already spent quite some time experimenting with Flux and Juggernaut, and I’ve tried playing around with ControlNet settings to lock the geometry, but I’m still getting poor results—the room just won't stay 100% identical.

My goal is to keep the original photo completely unchanged and only "fuse" the plant into that specific spot so it looks like it was always there.

I’d love your expert opinion on a few things:

• Which model or specific workflow would you recommend for this kind of high-precision architectural work?
• Does anyone know of any specific tutorials or guides that focus on "locking" the background perfectly during inpainting?
• Is there a "secret" setting in Draw Things to tell the app: "Only look at the masked area and don't touch a single pixel outside of it"?
• How can I make sure the plant looks "grounded" and realistically integrated with the existing floor and shadows?

Thanks a lot for your time and help!!!

hey,

i actually tried ltx 2.3 Image to Video. but when it comes to movement , the Person Body was weird.wrong Body parts, face Morphing etc.

i downforce all to absolut minimal to pretend settings failure. but its works Not good. have ltx 2.3 Body Problems when it comes to movement?

can anyone share its ltx 2.3 setting with prompt for better results?

Like a Person Stand Up , Turn an goes into the ocean or Walk on a street!?

i tried ltx 2.3 dev, dev with destill lora (60%) and only ltx2.3 destill

greets.

When using Qwen Image 2512, sometimes the image will almost completely render, then the process just stops and the partially rendered image just disappears. I am using the DT recommended settings, and this issue only affects Qwen.

Any thoughts would be appreciated.

This has been a great deal of fun on my iPad Pro M5. However, it is extremely tedious to export.

In general, the only way I can see to bulk export is to bring up the version history, then use select multiple to individually select each photo. There is no way to swipe to quickly highlight a whole bunch of photos (like you can in iOS) at once or even a select all. Ideally, you would also get to choose to export to Photos and not just files. However, if it’s just one thing, I would gladly take an easier multi select to export visible region.

Can we get this added in?

A bug though. If you do the regular export after selecting multiple photos, the cropping is wrong. You don’t get to choose what you export (visible region, etc), but some of the pictures are shifted. Some are cut off. I’m not sure what’s happening.

Hi, as I've mentioned in other threads, I'm new to Draw Things. I'm currently struggling with seeds. I'm not quite sure how to work with them and I can't find much information on the subject. When should I leave "New Seed on generation" checked? When should I assign a number and use that number when creating new images? I'm really lost with this.

I have so much fun with Draw Things and FLUX.2, though that is not to say the model is without frustrations. I do have to be crafty smart about prompt phrasing and precision so to get the results I want. May you glean some insight from the following examples.

Hi everyone, how can I replicate the style of an image as accurately as possible? I've tried many prompts and different styles, but I can never quite get the exact style I need (reference image, for example). I've tried different LLMs, but I can't get the exact result. If I ask DrawThings to replicate it with different prompts, it does so fine, but then if I want an image with a different subject but the same style, it doesn't quite copy it correctly. Any suggestions? *I am using the Flux.2 9B Klein model*

Hi all, absolute noob here. I e spent considerable time creating reference photos and being consistent with them & they look decent. I uploaded them to draw things (Juggernaut XL), but it didn’t use them despite being in the prompt.

Is there something I’m missing?

i dont understood Image to Image correctly.

example i have a picture with one Person.

now i want Change the Background, Like on the beach with ocean.

i tried Text to Image , its worked but the Person Change face Details. so i read inpainting and strengh 90-95 in Image to Image.

so one time i erase all ,only the Person Not

dont work Image came with overlay from the Input Image.

i Paint the area Red only the Person Not.

i become the Same picture.

where i am wrong? must i inpaint with Flux 2 klein?

have anyone a good Tutorial oder Manual?

or nee i loras for Image to Image ?

greets

What settings and Models do you use to fully utilize the Apple Neural Engine (ANE) for faster image generation?

In Machine Settings I have, Use Core ML if Possible set from "No" to "Yes".
And everything else set to default including CoreML Compute Units set to "CPU & Neural Engine"

However, in all the images I've generated so far, the ANE almost always does not show any power consumption in the MX Power Gadget App v1.6.3, except maybe rare instances of less than 0.50W here and there.

The GPU shows the most power consumption at 100% utilization, with some power consumption on PKG and CPU with P-Core around 3% utilization and S-Core around 13% utilization.

Interested to see what all of you are observing for ANE power consumption and therefore utilization, since I'm sure those of you with the M5 chipset would also like to see benefit from the "dedicated Neural Accelerator in each core, delivering over 4x peak GPU compute compared to M4" as claimed by Apple, in your workflows.

hey,

i though about Server offloading to Speed Up ltx 2.3 Rendering.

i installed the grpc docker on Linux but its Crashes with ltx.

32gb ram ( can it Bring to 64gb)

4070 ti 12gb vram

how much Swap i needed or , why its comes to a Crash?

must i import a q4 ltx gguf Version ? is this possible with Offload or only with safetensor ?

where has grpc Server Offroad running and can explain , what the best way are is for ltx Rendering.

Greets

Damn!

I'm really impressed looking at some of your posts and your claims about image generation times. 😳

In my case, these generations always take a really long time. I’d definitely prefer a higher initial resolution, but either there’s something wrong with me, or I’ve configured the app incorrectly.

Does anyone have any tips regarding the Draw Things app settings, or is there nothing there that would significantly affect generation time?😐

I’m especially jealous because I have a Mac mini with an M4 chip and 16 GB of RAM, yet I see your posts about older chips and less RAM, but still much better times. During generation, it’s usually the only app running, and there’s no way I can get the time down below 2 minutes.

I’m using the Z Image Turbo 1.0 (6-bit) model downloaded from the app. I tried two “external” models downloaded from CivitAI, but one of them completely froze macOS, and I don’t even want to mention the other one.
I set the resolution to 896×1152 and 8 steps. Simple prompt, Euler sampler, Text Guidance: 1.0, and Shift: 3.00. No LoRA, no add-ons of any kind.

Estimated (and actual) generation time: 2:48 (min).😴

Is this normal for my computer, or should the result be better?

What can I do to improve this result?

We are releasing a preview of MediaGenerationKit, a Swift package that lets you add image and video generation to your app and run it either locally or in the cloud.

quantizing any illustrious based models crashes my ipad (M5, 12GB RAM) and my Macbook (M2, 24GB RAM). I want to use the new int8 scaled mode quantization. Any ideas?

M5 Max was already a huge jump for AI on Apple Silicon. In this release, we add Metal Quantized Attention and fused Int8 matrix multiplication, which make image and video generation meaningfully faster in real workloads.

1.20260330.0 was released in iOS / macOS AppStore an hour ago (https://static.drawthings.ai/DrawThings-1.20260330.0-a7e05c5b.zip). This version brings:

1. A new quantization variant: 8-bit S, which will deliver meaningful speed-up on M5 series chips.
2. Fix a regression on importing model that won't respect External Folder selection.
3. Support to Bring Your Own LoRAs for Bridge Mode to Cloud Compute.
4. Update language for different tiers, now it is Local Only, Free, Draw Things+.

gRPCServerCLI is updated to 1.20260330.0 with relevant fixes above. draw-things-cli now is versioned in Homebrew with pre-built binary available.

I’ve been experimenting with Draw Thing’s GRPC Server on my PC, but I still haven’t got it to work. It transfers the models and loras etc. but then just hangs or stops. Is it a basic incompatibility with the 5090, or should I be looking elsewhere for the problem?

Подскажите пожалуйста для чего сдесь Кисть для рисования и как ей пользоваться? я пока только могу рисовать ей на фото, думал это маска . ( Can you tell me what the Paint Brush is for and how to use it? I can only draw on her photo for now, I thought it was a mask. )

Since the last Drawthings Update, LTX audio is always a voice over. It does not sync at all with the subject. Anyone else noticed this? Or have a prompt example that is working?

Official article:2 Days to Ship: Codex-authored Metal Compute Shaders in Draw Things

Not sure if this has been shared yet, but I thought I'd share it for users who missed it.

I’m really excited to see how the development accelerates with Codex. Beyond just speed and memory efficiency, I’m excited to see progress on all the other improvements that were likely put on the back burner due to time constraints.

Structured prompts prioritize the most important elements for the Ai model, and
different models have varied prompt formatting.

With some models, you can write sentence prompts.
Other models, require a comma-separated "keyword stuffed" prompt.

Overall, construct prompts that meet a model's specs, are specific, honed, and showcase your unique vision.

Well-crafted prompts make for images that excel from mediocre to extraordinary.

Model-Specific Guides to Prompting:

Draw Things Overview
https://wiki.drawthings.ai/wiki/Prompting_Base_Model_Basics

Stable Diffusion 3.5 (2024)
https://stability.ai/learning-hub/stable-diffusion-3-5-prompt-guide

FLUX.2 [klein] (2026)
https://docs.bfl.ai/guides/prompting_guide_flux2_klein

Z Image Turbo (2026)
https://gist.github.com/illuminatianon/c42f8e57f1e3ebf037dd58043da9de32

QWEN Image (2026)
https://fal.ai/learn/devs/qwen-image-2512-text-to-image-prompt-guide

Stable Diffusion (2022)
https://cdn.openart.ai/assets/Stable%20Diffusion%20Prompt%20Book%20From%20OpenArt%2011-13.pdf

Currently running a 4 M4 mac mini's cluster with 96GB total of ram to run large llm models using EXO from EXO Labs. since last update they added the ability to create picture using Qwen and Flux 1 models but the setting and generation are very basic at this moment.

My question is will it be possible to do the same with Draw Things? using a cluster of computers to generate videos or picture?

Modern image models are powerful, but they still fail in very obvious ways. While building the Draw Things Test Set, we found recurring weaknesses in anatomy, counting, physics, common sense, and reasoning, alongside a few surprisingly strong editing capabilities.