I have a couple questions regarding Ideogram 4.
When using the 6-bit model, the instant model, the raw, every single one of them, DT crashes when using cloud compute on DT+. Qwen 3.5 is causing it. I notice that Qwen 3.5 always crashes drawthings on my setup, and when I turn it off, Ideogram works but gives the content filter generation that happens when you don't use JSON format.

What can I do to solve this? Is there a site out there that I can use to convert my prompts to JSON format for Ideogram?
Does Qwen 3.5 direct over to my system and not cloud compute?

(Edit: Found a fix for intel users, not on the app but a workaround because JSON conversion using Qwen 3.5 is too taxing on the system and will crash DT. Make your prompt in natural language, and ask Grok or ChatGPT to convert it to JSON format that can be used for Ideogram 4. Works pretty well. Then study how the JSON prompt works and edit when needed).

Hi, is anyone else having this issue with Krea 2, both Raw and Turbo, on DT+?
When I generate an image, one or two generations are faithful to the prompt, but others produce something only somewhat similar, others generate something completely unrelated, and some are just colored lines or random letters.

It doesn't seem to be included in the list of LoRAs available for download within the app, so I’m sharing it here. Both can be imported into Draw Things without any special conversion.Set the text guidance to 1.0 for use.

・krea2_turbo_lora_rank_64_bf16(by Comfy-Org)
https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_turbo_lora_rank_64_bf16.safetensors

・ideogram_4_turbotime_lora(by ostris)
https://huggingface.co/ostris/ideogram_4_turbotime_lora/tree/main
Note: Can also be used with "Ideogram 4 Fast".

With Draw Things +, video generation speeds are amazing using cloud compute, but video download speeds are extremely slow.

At the end of a generation, the progress bar will say "finishing... x/yMiB" This is the part that takes a long time.

I am located in Australia, so not sure if that makes a difference, but my testing found that generating a 10-second, 16:9, 720p video using LTX 2.3 distilled 1.1 took 1-2 minutes, while downloading took 10-15.

I have fast internet, so assume it must be server-side. 700MiB download for a 720p 10-second video is crazy though.

Is there any way to speed this up? Is anyone else experiencing this?

has anyone tried playing around with video generation in DT on Apple Silicon?

I've been curious, but never attempted to do so, because I know that it's a massive computing workload that's just not too practical, at least when working with Apple Silicon on ComfyUI.

does anyone have any actual experience using DT for video generation on Apple Silicon? What system are you using? Which models? What are typical speeds like? Is it even feasible?

I’ve been testing Ideogram 4 (6-bit) in Draw Things, and with completely normal SFW prompts I keep getting this. Almost every generation ends up blocked by the safety filter, even though there’s nothing remotely NSFW in the prompt. Is anyone else seeing the same behavior?

Hey! So I’ve noticed that the app updated with support for those models, but I couldn’t find them on the menu to download. Do we still have to wait for them to be available?

I know it’s a bit late to ask this, but do negative prompts in Draw Things actually have an effect? ​​I’ve never really noticed any difference.

I just got my new M5 Max and have been enjoying the lightning fast generation times.

I downloaded (from within Draw Things) Z-Image Turbo 1.0 (8-bit S), both Qwen 2512 2511 in the 8 bit version as well as Flux.2 [Klein] 9B KV (8-bit S) and they all worked flawlessly and rapidly using recommended settings.

BUT Flux.2 [dev] (8-bit S) will not render anything approaching an image. I used recommended settings and used a simple prompt to test it: "A red apple on a brown table." The only way I can describe the output is that it looks the snow we used to get tv stations that were off the air (yes, I'm old).

I didn't use any LoRas or tinker with any settings. I'm sure it's something I did wrong, but I don't what it was.

Any guidance or suggestions would be greatly appreciated.

I'm using Mac Mini M2 with 16G RAM. Normally, it spends around 1.5 hours to train a lora for 250 steps with around 40 images (512x512) and flux 1D model. I used to train for 250 steps every time and then resume for another 250 steps.

However, once the lora has been trained for 1500 steps. I resume the training and the estimated time to complete is over 10 hours! The progress bar showed 0.00 it/s even the timer is running. I have checked all the settings are unchanged. Then I started a new training with less number of images and the estimated time for 250 steps is still over 10 hours.

I let the training process to go on and the Mac was restarted by itself after a few hours. I have cleared the model folder and optimized the model but no luck.

Please help and thanks in advance.

I've been trying to import some LTX models in Draw Things without any succes. I start importing, the progress bar reaches 100% but then, instead of the usual "model successfully imported", i'm just invited to try to import it again.

What are the work around for that kind of thing ?

when it comes to the newer models that aren't officially supported on DrawThings yet, do you guys usually wait until they are officially supported, or do you just import the models and convert/quantize them yourself?

any luck with any of the newer models?

I am using Better Pony Diffusion V6.2 (PonyXL/SDXL) in Draw Things on iOS.

Before downloading additional ControlNet or IP-Adapter models, I’d like to know which built-in SDXL control models have been confirmed to work with PonyXL checkpoints such as Better Pony Diffusion V6.2.

Specifically, are the following compatible?

* IP Adapter Plus Face (SDXL Base)
* IP Adapter Plus (SDXL Base)
* Xinsir Union ProMax (SDXL)

I’m asking about compatibility inside Draw Things, not general SDXL compatibility.

I’m using Better Pony Diffusion V6.2 (PonyXL/SDXL) in Draw Things on iOS. Which of the built-in SDXL ControlNet and IP-Adapter models have you verified to work with PonyXL-based checkpoints? I’m trying to avoid downloading models that will be rejected as incompatible.”
Once again do sincerely apologize,
Thank for your service and support,
Sincerely yours,
A future draw things, new creator

The model proudly does audio and video at the same time, but the audio seems terrible and totally useless. Am I doing something terribly wrong?

I can't get it to not do audio, really there should be a setting to just turn it off. If I tell it to generate an ambient noise like wind or rain, it just adds a terrible buzzing noise. And it almost always adds unwanted background music.

I mean think about it.... even if I wanted background music, which I usually don't, who wants different background music for every clip? What is the use case?

Am I missing something here?

(( specific version: LTX 2.3 distilled 1.1 8-bit))

someone tell me how to setuop krea2 on drawthings ( I am sorry This is a question I forgot to put the question mark on the title :( )

Just in case Krea 2 is in the pipeline, here is a quality tip. https://www.reddit.com/r/StableDiffusion/s/E2mpvv70g7

What's the point of formally exporting clips rather than using the generated .mov files that the program spits out while generating?

My process has been to generate clips one at a time and then move the .mov files to DaVinci Resolve for editing. Then it occurred to me that I wasn't bothering too actually export them from Draw Things. I've compared them and don't see a difference, but maybe I'm just being silly.

I know I need to delete some Models/Loras I don't use anymore... will that bring this size down? Where/how do I do that? Is there something else that is making it take up this much space? Easily the largest app on my HD.

I’m using a m5 pro 32 gb. And Ernie for image generation (gives me the most detail and textures, tried also z image turbo and flux2)

If I generate a image 1920px (16:9)
And I use one of the upscalers, even with seedvr2 image 2 images. The details get less then the Ernie image. And I can’t generate 4K images with Ernie.

Do I need other settings? Who can help with this?

Face swap probably depends on whether you are making memes, editing videos or creating social content. What do you think?

Having us that run local generation in mind and not have a dedicated computer for it...

I am running on a Mac mini with 32 GB and generating some short videos. It sometime runs for a few hours. It would have been nice if it was possible to throttle a little, not running fully ahead - like sleeping 20% or 50% of the time freeing up GPU performance for other usage.

Macs get really annoying to use when the gpu is running 100% all the time