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?

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!

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.

I know that increasing the number of frames over 256(about 10s) makes the quality of the video bad.

But I think it's much better to have a chance to generate it for at least 20 seconds rather than to block it at all.

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.

https://preview.redd.it/qoa5db9r2e1h1.png?width=2212&format=png&auto=webp&s=cc6855134f01e81af16c83036d18c9e9f38027e3

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.

https://preview.redd.it/q67mipl5yd1h1.png?width=1024&format=png&auto=webp&s=4e8d0024331dfd906cda3da5e3cc307b6aec1f9e

https://preview.redd.it/6y1ak3q6yd1h1.png?width=1024&format=png&auto=webp&s=63f7349b216f21a40058ad7d550b8173a42796ce

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.

https://preview.redd.it/guolnhmzxd1h1.png?width=1024&format=png&auto=webp&s=eb496570b5e68741272427267c6fcfd771048280

https://preview.redd.it/66tth8u0yd1h1.png?width=1024&format=png&auto=webp&s=4c0a45dbf886be89565ec7a1f3b9008a48429e73

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.

https://preview.redd.it/8ugtdoitxd1h1.png?width=1024&format=png&auto=webp&s=8780b852e11e61a0b4f6a8e1c6432cef2a3193f6

https://preview.redd.it/5uazjsvuxd1h1.png?width=1024&format=png&auto=webp&s=0b6140a64514fea74f8eb6100f8bcbb697935c04

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.

https://preview.redd.it/d1uhop2kxd1h1.png?width=1024&format=png&auto=webp&s=a4b8edcf041b9135ff655616d06da371f09c00b0

https://preview.redd.it/ualxi12mxd1h1.png?width=1024&format=png&auto=webp&s=f8a380acfe21a3ec20c3e08884fe697afba65163

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

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)

https://preview.redd.it/qoa7fzfrl01h1.jpg?width=1344&format=pjpg&auto=webp&s=e23ef2ee10ee42399438dcc6512e69fddef48fc9

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

https://preview.redd.it/ig4z2z26m01h1.png?width=1024&format=png&auto=webp&s=6485237952e87cb2bb07495f6674c7884d050cda

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:

https://preview.redd.it/4h8fifmim01h1.png?width=1024&format=png&auto=webp&s=01cca446678e0a4b508f6e22a773cdcb1cec776b

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

https://preview.redd.it/hdyl9rbom01h1.png?width=1024&format=png&auto=webp&s=32daf0d72b0b2a0a161440fd3298f4490e44efa2

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:

https://preview.redd.it/mj9vi1wwm01h1.png?width=1024&format=png&auto=webp&s=f9c082fa437f39fc9d61036d5d7d7638707679af

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

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

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

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.

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

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?

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've seen a few guides on how to do masked inpainting with z image turbo for comfy, but they never seem to run well on my mac. ZIT runs great on my mac for t2i in draw things, but I don't know how to do inpainting with it. The ui is a little harder to understand than comfy for that purpose. Has anyone done masked inpainting with z image in draw things before and is willing to share any tips?

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.

recommend view the image at its original size. There is a color picker in the upper right corner of the prompt field.

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.

I’ve noticed over the last year or so that the image2image scene has been dominated by full image edit models like Qwen, Kontext, Klein. I still prefer to do traditional mask based inpainting instead of feeding the whole image into the model and it changing every pixel. I’ve been using sd1.5 and sdxl models for this, but you can tell they are getting old. Skin looks kind of plasticy, hands look like sd hands obviously. Are there any modern models that do inpainting but have the insane photorealism performance that z image or flux models have? I’m open to custom workflows that use models that aren’t made specifically for inpainting if that’s the only option.

Good morning, everyone!

I’ve been using DrawThings+ for a while now to render images on my underpowered Mac M2. I’m very happy with it—except when, like today, it starts crashing again. In the past, DrawThings+ simply wouldn’t work in situations like this. Since last night, the app has even been freezing completely. Everything was working fine this afternoon! I’m based in Spain. Even when I connect to another country like the U.S. via VPN, it doesn’t help, whereas in the past that often resolved issues. Are others here experiencing these issues as well, and when can we expect a fix for this problem?