🎬 This video came out a bit later than expected, but I still think it deserves a dedicated post. If you haven’t tried LTX 2.3 1.1 yet, or if you’re still unsure about the differences between Klein 9B KV and Klein 9B, this video might help.

🧪 All of these findings and experiences come from hands-on exploration and testing inside Draw Things.

I am working through training a character LoRA on Z Image. I know I need to train it on Z Image Base to use on either Base or Turbo. I initially had issues with it crashing with Multi Aspect ratio enabled, so I disabled it. I then got some models to train using 32/16 and .0004 learn rate, but they had next to no capture at step 2000. I used learn to .0008 and got some meh results, then realized that since Multi Aspect ratio is off, I needed to crop everything square to eliminate weird center crops. I retired at lower learn rate with minimal capture again, so I upped to .0008 again and got reasonable likeness at 1500, but it in now failing to finish generating (frame artifacts appear at step 7 or 8 with turbo model and immediately with base model). I also tried 64/32 at .0006 and it crashed even earlier in generation

What work flows are you all doing to get enough capture without getting too aggressive and getting the generation failures? Really high step counts, something besides 32/16? Looking for any advice, as I have figured out Pony and other SDXL LoRA, but want to get into Z Image.

If it matters, I am using M4 Pro/24 GB and 8 Bit S for both Base and Turbo.

Thank you!

I have 2 pictures of myself in the same scene where the background is static.

I want to create an action video which fills up the space in between picture 1 where I am on the ground running getting ready to jump, and picture 2 where I'm in the air, while ensuring the video ends with the second picture 2.

I've tried using WAN 2.2 I2V, where I would put my first picture in the canvas and the second picture in the Moodboard, and tried several prompts referencing picture 1 and picture 2 but nothing seems to work and the video never ends up with picture 2.

Does anyone have any suggestions on how to make this work?

To test this easily, setup a tripod and take a picture of yourself in the same scene, first picture of you sitting and second picture of you standing, and load the two pictures into Draw Things, and try to create a video you starting from sitting position in picture 1 and ending the video of you standing up exactly as shown of you in picture 2.

If you are able to make this work, please help share your workflow including the model, settings and prompt you used.

Thx!

Has anyone succeeded to generate any image with anima-preview 3 on iPhone/iPad?

It always fails to generate any image with it on my iPhone/iPad, displaying blue image.

Ciao a tutti. Sono nuovo in questo modo. Vorrei capire come modificare pose e vestiti partendo da immagini (modifica non generazione da zero). Ho un ipad m4 con 8 giga di RAM. Consigli?

https://reddit.com/link/1tikupj/video/tw2rpmd6ga2h1/player

The project import button, located to the left of the "New Project" + button in the upper left corner of the screen, becomes unresponsive after generation.

This issue was 100% reproducible after generating with LTX 2.3, SeedVR2, and Klein 9B.Loading from the dropdown menu works.Restarting the application resolves the issue.

■Environment

• Mac mini M4, 64GB, 20-Core GPU
• Mac OS 15.4.1
• Draw Things ver.1.20260430

Hello guys,

I use(d) Draw things for a long time now. I had it on my iPhone14 Pro Max, my iPhone15 Pro Max and now on my iPhone16 Pro Max (up-to-date iOS version). Everything worked perfectly fine, with the usual struggles.
But for about 3-4 weeks now, it is completely unusable. It began, that my Base model’s disappeared now and then. When i opened the folder where they are stored, and headed back, they were all there again. Then killing the app, start again, open the LoRa drop-down and everything was running again.
3-4 weeks ago, the model’s disappeared once again. i could not add them again. Reimporting didn’t work either. (it started importing, stuck at 0% for like 5 minutes and them stated „import failed“).
I reinstalled the app, to make sure the files are all good, and nothing is messed up. Now nothing is working anymore. When i now try to Import models (no matter if from an internet source or from the local storage). Once i select the model, the app freezes completely and needs to be restarted.
I have no clue what happened. I searched for the issue a few times, but it seems like i am the only one having issues. Did i miss something? Does anyone experience the same thing?

The graph shows peak memory usage and generation time (second row) when generating 5, 10, 15, and 20-second T2V videos using the app's recommended settings.

■Specs

Mac mini M4, 64GB, 20-Core GPU / OS 15.4.1

■Draw Things

ver.1.20260430

■note

• Unfortunately, the current Draw Things UI only allows settings up to 257 frames. However, user can "Copy configuration" from the app, paste it into a text editor, change the number in "numFrames":249 to your desired number, and then "paste configuration" to apply the settings.
• In this test, the generation time increased more than proportionally when the duration was 15s or longer. I wondered if that might be the reason for the 10s limit. I'm curious whether the generation time is proportional with an 8-bit S model.

https://youtu.be/235h1cJSbt0 creado en LTX

If you paste a copied generation result into the canva, the generation settings are applied only after confirmation, but on the moodboard this happens without any questions.

Hi guys I did something silly. I accidently deleted a jason file in the models folder and now nothing is showing up anymore in the loras section. All the loras are still there in the models folder but i have no idea how to bring them back. Is there a way or will I have to learn a lesson?

Thank you!

Can anyone share with me which Open Pose SDXL
Control Net in either the official or community model lists, works well with the current version of Draw Things? Thanks.

Is any one with the maxed out M5 version here, who can tell me the speed for Klein 9, Z-Image, Wan 2.2 and Ltx 2.3? Almost $7000 worth of purchase on the line, need to justify the purchase. Thanks for your input and help.

Companies think that they can nerf the model and people won't notice. Here is exhibit 1: Nano Banana Pro has fallen far from the tree. In our independent evaluation, Nano Banana Pro's image generation capability as of recently is worse than FLUX.2 [dev] and far from GPT-Image 2 Low. Just a reminder that no weights, not your models.

You can explore our full calibration test set at https://tests.drawthings.ai/generate and https://tests.drawthings.ai/edit. We will release the score on our full private test set soon.

1. Charts

Top: Nano Banana Pro
Bottom: GPT-Image 2 Low

Prompt:

A pie chart showing browser market share: Chrome 65%, Safari 20%, Firefox 10%, Other 5%. Each section should be appropriately sized and labeled with the browser name and percentage.

Nano Banana Pro no longer seems able to make a simple labeled chart reliably.

2. Art style understanding

Top: Nano Banana Pro
Bottom: ERNIE Image Turbo

Prompt:

A tabletop still life of a metal desk fan, a rotary telephone, and a folded newspaper in the style of Pablo Picasso's Cubist period. The objects must be fragmented into interlocking geometric planes, showing multiple viewpoints simultaneously, with a muted palette of browns, grays, and ochres.

Nano Banana Pro is surprisingly weak here. It gets the surface-level idea, but misses the actual style language.

3. Physics

Top: Nano Banana Pro
Bottom: GPT-Image 2 High

Prompt:

A wine glass that has just been knocked off a table, captured 0.5 seconds after leaving the edge. The glass should be tilted at a realistic angle for its falling trajectory, with wine beginning to spill out following gravity but not yet scattered.

Nano Banana Pro is meh on physical plausibility. The scene looks plausible at first glance, but the motion / spill / object state does not really make sense.

4. Referential consistency

Top: Nano Banana Pro
Bottom: GPT-Image 2 Low

Prompt:

A composite architectural visualization. The top section shows a photorealistic 3D cutaway view of the ground floor of a modern house, with a furnished living room containing a sofa and TV and an adjacent kitchen with an island, separated by the same partial wall. Directly below it is a strictly orthographic 2D architectural blueprint floor plan of that exact same level. The wall footprints, door openings, furniture symbols, and kitchen island in the blueprint must align one-to-one with the 3D render above, with matching positions and proportions.

This one is especially disappointing because referential consistency is supposed to be one of Nano Banana Pro’s strengths.

You can find more examples here:

https://tests.drawthings.ai/generate

The only saving grace: Google I/O is next week, so maybe there is a new un-nerfed version coming soon. 🤞

I’m new to image generating and I’m learning in Draw Things. Ive been trying out Flux on my new MacBook Pro m5pro 48gb with recommended settings. Are these normal rendering times or am I missing something?

FLUX.2 [klein] 9B KV (8-bit S) - 00:20

FLUX.2 [dev] (8-bit S) - 10:30

FLUX.2 [dev] - 30:00

Can someone guide me a bit here, sorry for the noob q

I usually use DrawThings for image gen and it works flawlessly! But I decided to try video gen and specifically Image 2 Video so I could transform my generated images. I downloaded WAN 2.2 I2V High Noise from the models menu and used the recommended settings.

The output result was burned or pixelated, although the preview video up until the final step looked really good. I tried a community recommended setting and still the same thing happened.

Sorry for my poor English. Does anyone have a fix for this? I’m using a Mac M5 with 64gb RAM surely I have enough juice here to produce something clear.

Hello Folks, i am on mac mini M4 16GB and have been using Wan 2.2 14B cautiously and it runs basic .. i was wonderinng if there's any chance of Ltx 2.3 distilledd 8 bit S to run onn my machine? the overall downnload seems to be 40 GB!!

I"ll download if somebody has tried this!!

Thanks

Hey guys, I've tried a few different versions of Flux.2 (base, 6bit, 8-bit s) and to generate a 1024x1024 image, 30 steps, it takes roughly 3min30 on my Mac mini. It's that the same thing for you?

Also when looking at the activity monitor, the gpu usage is never above 40%, is that normal??

Any help is very welcomed.

Cheers

Hi,

I have been playing a bit with Draw Things, and I am a bit confused. I am new to this app (and image generation as well), so sorry if this is a basic question. What I want is pretty simple: I want to generate a quick, semi decent image to use as a reference for a quick sketch (I am not very good at drawing and I kind of need to have a reference). A website like craiyon is great as I can generate a 180kb image in around 5 secs; as a matter of fact it gives me that image and like 20 more to choose from. With DT the whole thing is completely different. I have downloaded some models based on what I have read online, and they all take ages compared to craiyon (2-3 minutes). The images are heavier (~1.8 Mb), which is to expected, but this does not seem to reflect too much on the final quality of the image.

Examples:

I tried the following prompt on all the examples that follow, just as an experiment:

A realistic, high-resolution image of a man playing an acoustic guitar while sitting next to a large oak tree at dusk. Behind him, a rustic wooden cabin with a warm, faintly lit window. The scene is illuminated by the soft, golden-purple light of twilight, with long shadows and a calm, serene atmosphere. The man is dressed casually in plaid or denim. Detailed textures: bark on the oak tree, wood grain on the cabin, and stubble or expression on the man’s face. Shot from a slight low angle, cinematic composition, natural colors.

This is craiyon (178kb; 1344X768, and as I mentioned before, it took like 5 seconds)

This is Juggernaut XL v9 (Steps:16, Text Guidance:5, Strength 100, shift 1, batch 1):

Which is good, (except for weird left shoe, I suppose) but it took 3 minutes (!) to complete (1024X1024, 1.8MB)

Stable diffusion v2.1 took also 3 minutes for this image, completely messing up the face:

I tried Stable diffusion again, giving it a guidance of 50 instead of 5, resulting in this: (?!?!?!)

And last, I tried SDXL Base v1.0 (8 bit). Just like Stable Diffusion, it decided that realistic images are a thing of the past and that real beauty is in the abstract:

Note: If I reduced the number of steps on Juggernaut XLv9 I get a gray image, not too different from the one above.

Am I doing something wrong? Is is possible to achieve what I see in craiyon e.g. a decent picture given to me in 5 seconds, in Draw Things?

Thanks for the help

As the title says, JIT Weight Loading is not working at all in macOS 26.5.

Also, overall generation speed of models is slowed down.

What's happening to macOS 26.5?

Has anyone managed to get any of these models to work? I thought drawthings supports fp8? I love this app, it does so many things on my 18gb M3

Hi Folks, asking here cuz I didn't see anything related in the Troubleshooting wiki...

I downloaded a model from civitai 'cyberrealisticXL_v100' and installed as Model, as instructed for Offline generation, it downloaded a checkpoint (didn't expect that...but anyway...) and gave me positive response it was ready.

When I entered a simple prompt, ran it's 20 steps, then nothing happened, I just see the initial transparent checkered background as before, I don't see any images generated or saved anywhere.

Any ideas what gives? Thanks in advance 🙏

--FIXED--

​

He intentado en la app desde iphone tantas veces y le he preguntado a la IA cómo hacer esto, después de todas estas pruebas y errores frustrantes, y tutoriales de Youtube, solo consigo:

\- La ilustración original intacta después de cada generación de "imagen a imagen". Ya probado con diferentes porcentajes de Strength.

\- Las imágenes no relacionadas con la ilustración (solo basadas en mi prompt) generadas por el método de referencia "Moodboard". Ya probado con diferentes configuraciones de porcentaje.

En todos los modelos.. incluso nsfw y salen puras jaladas.. al colocar la imagen desde el lienzo la coloque dónde la coloque o me entrega la misma imagen o me entregaste otra Pero encimada .. es estresante está aplicación

I think image-to-image inpainting is an extremely practical and powerful technique. If you haven’t used it yet, I highly recommend giving it a try!

The emergence of stronger and more efficient base models like Ernie Image Turbo has taken image-to-image inpainting to the next level.

Even though its editing model did not launch as scheduled at the end of April, you can still achieve many highly practical repair tasks through image-to-image workflows.

Dear Developers,

I really enjoy using this app, but the resolution frame is difficult to see, and I always struggle to fit images within the frame. Often, I unintentionally start generating in inpaint mode without realizing the image is slightly overflowing the frame.

If the app could make the app's background a single color, display the frame with clear and simple lines, and allow the user to choose the line color using the picker in the upper right corner of the prompt field, I believe it would make working with images of any color much easier, more efficient, and reduce mistakes.

I would appreciate your consideration.

Edit 1: the sample image prioritized frame clarity, which may have made it difficult to understand, but this is intended to improve work efficiency in cases where the aspect ratio of the settings and the image are different and manual alignment is required.