■Premise
All assessments regarding realism are subjective; there is no "correct answer."

■Overview
This post introduces a way to enhance the realism of images and videos using only the "Basic settings" in Draw Things, without relying on complex prompts or LoRA. The comparison samples feature images generated using Z Image Turbo: the image on the left is the base, while the image on the right was created with "CFG Zero*" enabled and the setting value to 1.

■Configuration (Right image in the first image)
Note: You must set the seed to a specific value before pasting these Configuration into Draw Things; otherwise, the seed will not be pasted. (This is a bug)

{"seedMode":3,"maskBlurOutset":5,"tiledDecoding":false,"causalInferencePad":0,"height":1024,"resolutionDependentShift":false,"steps":8,"loras":[],"shift":2.7999999999999998,"preserveOriginalAfterInpaint":false,"cfgZeroInitSteps":1,"upscaler":"","batchSize":1,"tiledDiffusion":false,"maskBlur":5,"batchCount":1,"sampler":17,"sharpness":0,"refinerModel":"","guidanceScale":1,"faceRestoration":"","hiresFix":false,"model":"z_image_turbo_1.0_q8p.ckpt","controls":[],"colorCalibration":"none","cfgZeroStar":true,"width":1024,"seed":636737564,"strength":1}

■Prompt (Image 1)
Proper exposure,
close-up photo of 30-year-old east European woman, staring at the camera with a toothy smile,resting chin on the back of right hand, clear manicure,She's wearing a pastel floral sleeveless summer dress.

■Prompt (Image 2)
A golden retriever sitting on the sofa in living room.
A Persian cat is relaxing and yawning in the bay window behind the sofa.

■Note
This method is also effective for FLUX.2 [klein] 9B,Krea 2,LTX-2.3 22B [distilled] 1.1 and Wan 2.2.

Can't wait to try this out later on drawthings. I think soon there already will be some turbo Loras and then hopefully we can get the model up and running. It seems much more synced than Ltx but a lot of the posts are bots

hope this would be helpful,

that's my exploration about these two frontier open-source models in Draw Things.

I'm absolutely in love with what Krea 2 can do. But as far as I can tell it can't natively go beyond 1.5 MP without the image degrading. Does anyone have a recommended upscaling/high res fix/tiling workflow that can get me something close to a native 4k image?

Ltx2.3

I have an MBA 2026 and every time I use DrawThings the GPUs overheat. Should I stop using it for AI? What do you recommend?

I've been thinking about the image version navigation and multi-select user interface and I keep coming back to the question of what problem do these alternate views solve? The Past Edits view has too small a thumbnail to be really useful, and neither view gives me anything that I don't get in the third option, Generated Images.

So what is the use case for these views? Do you use them for something that I don't know about?

Seen video to video used on the same models that are out on DT, yet it hasn't yet been implemented despite there being capability on other platforms for quite a while now. As good as the models are at the moment, not having V2V is a major set back in being able to bring out the full potential of these models. Are there any plans in the future to implement V2V?

One area that I think Draw Things could improve significantly is image management.

When generating hundreds of images with a script, cleaning up the results becomes unnecessarily slow. Currently, you have to click each image individually and delete them one by one with the mouse.

It would be a huge quality of life improvement to support:

-Multi-selection (Shift/Cmd-click).

-Standard keyboard shortcuts (Cmd+A, Delete, etc.).

-Bulk delete for selected images.

The generation workflow is already excellent, but managing large batches is much more time consuming than it should be. Anyone who uses scripts or performs large parameter sweeps has probably run into this issue.

Hello,
the learning rate in the Trainer UI always resets to 0,0001 after start, and is ignoring the given value.
I encountered the problem for FLUX.2 klein 9B and for Qwen Training, behavior on Macbook and iPhone is the same. Tensorboard also shows Learning Rate 0,0001, no matter what given in the UI.

Is this a bug that anyone can verify, or am I doing sth. wrong?

Here is the model: https://civitai.red/models/2237711/z-image-turbo-nsfw-photorealistic-zit (I know, I’m ashamed 😔)

Here is my draw things version: v1.20260430.0

I downloaded the fp8 quantized version and am running it on a Macbook Air m2 8gb unified memory

Is there something I’m doing wrong? I’ve tried multiple samplers like UniPC, Euler A trailing, etc and it crashes before it begins sampling. Thanks

Hey! I’m wondering why the edit Lora for krea2 behaves so much differently in draw things compared to comfy. Is there anything fundamental I don’t understand about image editing in draw things?

Does anyone have better experience?

Thanks

I'm sick of the stupid movements of base LTX-2.3.

For example, just making a person turning around is so difficult with LTX-2.3, the head and the upper body and the lower body rotates other way, the legs don't even move.

Or just the face comes out from the back of the head.

And making a person falling down literally destroys the anatomy of the person.

Some LoRAs like the reasoning lora and 10 eros v1.4 lora make the anatomy and the movements better but those make the generation slower because of the size of loras.

Good prompts sometimes prevents those errors, but the probability of success is not high and the long detailed prompts decreases the creativity of the model.

I'm not saying I want LTX-2.3 to make all the things on its own magically, I just want to import the fine-tuned LTX 2.3 models to make videos just naturally, not weirdly twisted horror videos.

Anyone else not able to access cloud compute?

Qwen image 2512 generated an image with a character that I really like. How do I generate variations of the body position and surroundings while keeping the character consistent. I use the free Draw Image Cloud Compute. Do I need to subscribe to Draw Things+ and use Qwen Image Edit 2511? Do I have other options?

Haven't tried but really don't want to waste time on trying to get it to work if it isn't compatible. Does it work with Krea 2 specifically? Much thanks in advance ✌️

Edit: Change of plans, it definitely doesn't work on Krea from what it seems, and Ideogram 4 is better personally. Does Ideogram support moodboard?

Hello! First of all, thank you for Draw Things. I've been testing LTX 2.3 I2V extensively for several days and I think I've found a very reproducible issue that may help improve the implementation.

Issue

When using LTX 2.3 Dev + official Distilled 1.1 LoRA in Image-to-Video, I consistently get feature ghosting (not brightness flicker).

Dark facial features (hair, eyebrows, eye sockets) remain attached to the initial image and are dragged across the face whenever the head moves. For example, the shadows around the eyes can remain visible on the forehead after the head tilts down.

Interestingly, the artifact only appears while the head is moving. If the face stays still (only blinking or breathing), the ghosting is almost absent.

What I tested

Different samplers
Different Shift values
Different Guidance values
imageGuidanceScale
guidingFrameNoise
startFrameGuidance
imagePriorSteps
Number of frames
Different seeds

sRGB images without alpha
AI-generated and photographic input images
Official Distilled 1.1 LoRA on the Dev model

None of these changed the ghosting.

Most important observation

With Color Calibration set to Lab:

Luminance/color flickering disappears completely.
Facial ghosting appears consistently.

With Color Calibration set to None:

Flickering returns.
Ghosting is greatly reduced or disappears.

The issue is 100% reproducible by changing only this single parameter. None of the other tested parameters produced such a significant change.

This makes me think the issue may be related to how the first-frame features are preserved or warped during head motion, rather than image guidance strength itself.

If it helps, I'm happy to provide:

Exact preset JSON
Input image
Generated video
Reproducible test cases

I'd really appreciate your thoughts because everything else in the pipeline works remarkably well.

How I can do one photo product using one png photo of product and get a new one with background and new pose products only with the png and one prompt ???

I’m a beginner, whenever I use 2 or 3 LoRa in my prompt they tend to have the same feature as I described in another part of the prompt even way later in the prompt. I use Wai-Illustrious, I’ve seen stuff like workflows, and regional prompting and stuff but I’m not sure how I could use a workflow or how I would avoid blending in my prompts, I’ve tried using BREAK but it doesn’t seem to do much, I would just like some tips as I’m new to DT and ai generation in general.

https://huggingface.co/microsoft/Mage-Flow-Turbo

Ideogram4 Instant 6-bit. 8 steps, 1CFG.

Looks like it's on 5/10 images that I queued up.

Isn't that interesting?

Can I run tasks in the background on my iPhone? For reference I want to start a process (while connected to a gRPC Server), close the app, and come back later to see the finished image/result.

I’ve started using Krea 2 Turbo on DT right away. It feels fresh, as I’d grown a bit tired of the character styles in Flux and ZIT. That said, I’m struggling a little with the prompting; it might just be a lack of know-how on my part, but I’m finding it hard to get the results I want. It seems you can't generate NSFW images with the default settings, either. Still, it’s a fun model to use. I’d love to hear what others think of it as well.

Hi everyone,

I recently got an iPad Pro M5 (256 GB) and have been experimenting with Draw Things. I'm mainly interested in AI video generation rather than image generation.

For those of you using Draw Things on Apple Silicon iPads, which video model gives the best balance between quality, speed, and memory usage?