I’m trying to build the most reliable character consistency workflow possible in Draw Things on iPhone.
My goal is to create original characters for a manga and keep the same character recognizable across many generations while changing poses, expressions, camera angles, clothing, backgrounds, and eventually scenes with multiple characters.
I’m not necessarily looking for the fastest workflow. I care more about consistency.
For people who regularly use Draw Things for consistent characters, what setup has worked best for you?
I’m especially interested in:
• Which model gives you the best character consistency
• LoRA vs MoodBoard vs reference images
• Whether you combine MoodBoard and LoRA
• Best way to preserve the same face, hair, body proportions, and overall design
• How many reference images you use
• Whether multiple angles of the character help
• Pose or ControlNet settings you recommend
• Seed strategy
• Strength or weight settings that actually work well
• How you prevent the character from slowly drifting after multiple generations
• Best approach when two or more recurring characters are in the same image
I’m using an iPhone 17 Pro Max with 12 GB RAM, so I’m also interested in setups that work realistically on that hardware.
If you were starting from scratch today and your main priority was maximum character consistency for a manga, what Draw Things workflow would you build?

For the adventurous types who like the bleeding edge... Don't upgrade to Beta 4 as it breaks Drawthings. From what i understand, actually what Claude understands:
What's happening: applegpu_g17g is a Metal GPU-family target identifier. Each macOS/GPU driver generation gets its own identifier (g13, g14, g15, g16, g17...), and DrawThings ships a precompiled Metal binary archive containing pre-built shaders only for the identifiers that existed when it was built. Golden Gate beta 4 has moved your Mac's GPU compiler target to g17g, and DrawThings' shipped binary archive doesn't have a slice for it.

so yeah, don't do it if you want to keep using Drawthings

I know that converting a model like LTX 2.5 to coreML is so difficult.

But the MLX version of LTX 2.5 is making my gpu/cpu temperature so high like 110°C, even with the fans spinning at maximum speed.

Is there any news of the DT's developer about LTX 2.5?

Hi, I recently downloaded a 1.5GB LoRA from Civitai (SNOFS for Krea2, specifically) and when I hit the generation button, there's no LoRA uploading window, it just generates the image without the LoRA. There's no "full cloud" window either.
Is there a limit on the LoRA size? I haven't read anything about this on the Draw Things wiki. Has anyone encountered the same issue with the SNOFS LoRA?
Thanks!

My Thoughts After Using DrawThings for a Year

Please note that this is my personal opinion, so I ask that you refrain from any defamatory comments.

I’ve used Google, Grok, and ChatGPT, but I’ve always struggled with moderation.

Of course, I understand that moderation is necessary, but I’ve had my time wasted by censorship without even knowing the reason. Speed is crucial for creative work, and censorship that makes no sense is infuriating. While it’s possible to generate NSFW images and videos with DT, I believe how you handle those outputs is a personal matter. Just like a high-speed supercar or a sharp knife—it all depends on the user.

What I’m trying to say is that DrawThings is a fantastic application.

You might ask, “Why are you saying this now?” but I just want to express my gratitude.

Thank you!

Hi everyone,

I am trying to restore some old, damaged, blurry photographs using Draw Things on my Mac (M2 Max, 64GB RAM) while signed into the Draw Things+ Cloud Tier.

My goal is to take an old photo, clean up the scratches/blemishes, and sharply reconstruct the blurry facial features without altering the actual identity of the people.

I have already pre-cropped the photos externally to remove the physical paper margins, so I am strictly focused on inner pixel repair and facial sharpening.

What I have tried so far:

1. Qwen Image Edit 2511 (BF16): I ran this in Text-to-Image mode using direct instructions (e.g., "repair photo, remove scratches"). It consistently gave me terrible results—severe vertical stretching, smudging, a heavy blue/cyan color cast on monochrome images, and low-resolution output. Changing samplers (Euler A vs. UniPC Trailing) did not solve the stretching or blur.
2. Standard Image-to-Image (I2I) Models: I tried switching to a traditional Image-to-Image workflow using descriptive prompts. Even when dialing the Denoising Strength all the way down to 0.15 with a completely blank prompt, the models still bleed through and subtly modify or warp the faces into different people, rather than just sharpening the original features.
3. Built-in Face Restoration: I tried enabling restoreformer_v1.0_f16.ckpt alongside a low-strength generation, but because I have to keep the strength so low to prevent identity shifting, the final output remains too soft and blurry.

What is the definitive workflow for this?

• Which base model is actually the king of photo restoration in Draw Things? I am entirely open to downloading or using any model architecture that handles this better than Qwen.
• Is there a specific combination of a model and a dedicated Restoration LoRA (like a CodeFormer or GFPGAN implementation) that completely locks facial structures?
• Should I be using a specific ControlNet (like Canny or Tile) to force the engine to respect the exact original lines of the face?
• Is there an automated script or a better Multi-Pass / Inpainting technique I should be using instead of a standard Image-to-Image pass over the whole canvas?

Any ready-to-paste JSON configurations, specific model recommendations, or workflow step guides would be incredibly appreciated. Thank you!

Hi guys, I’m a professional digital illustrator and I do a lot of artwork for books and light novels. Being a professional artist has surprisingly made it hard for me to make use of Ai since I usually have very precise style and composition in mind.

My style is usually black and white, semi-realistic mix between comics and shonen manga, and the scenes I usually draw are very specific and not generic enough for most Ai models to adhere to my prompt correctly. Is there a specific model in the Drawthings app that lets me have as much control as possible? Maybe a model that turns sketches into fully rendered illustrations without changing too much?

I’ve also noticed most models on the app lean towards either photo realism or instagram / pixive illustrations, they offer specific prompt adherence if you are ok with realism, but don’t give a shot about the anatomy, poses, scenic composition and specific details if you go for something illustrated using a very specific prompt. So what models, refiner models or Loras would be good to maintain both prompt adherence and stylization?

Any advice will be greatly appreciated!

I’m trying to build a ComfyUI workflow for a colored manga/webtoon where my original characters stay consistent throughout the whole story.
I already have full-body and close-up reference images for the characters. I understand the basic idea behind checkpoints, character LoRAs, ControlNet/OpenPose, IP-Adapter/reference images, but I’m struggling with figuring out the best way to combine everything.
Basically, I want to be able to say: this is Jake → keep him looking like Jake → put him in this pose/expression/outfit → place him in different scenes → keep the same art style and character identity from panel to panel.
Eventually I also need to put multiple recurring characters in the same scene without their faces/features bleeding into each other.
I don’t care if the best solution is Illustrious, SDXL, FLUX, Qwen, or something completely different. I’m looking for whatever gives me the most consistency and control in ComfyUI.
If anyone has built something similar for a manga, webtoon, visual novel, etc., I’d really appreciate hearing what model and workflow you use and how you connect the different pieces. I’m trying to actually understand the workflow instead of randomly changing settings until something works.

Hello! It's just a suggestion. I noticed others using comfy are spoilt of samplers but in draw things we only have access to the same samplers as always.

I see some samplers available on comfyui that I've never heard before and how the users hype it about how realistic the images are, especially for Krea 2.

This will be a great addition.

Cheers!

Hi. I’m new to draw things I just downloaded this app on my iPhone last night and I chose fluxe 1 dev 5 bit. As I was said to by gpt. I have no idea how to use it. First I add one photo but I don’t know how to add another photos so that it generates them to the prompt I want. I would really appreciate if someone could help me.

I was under the impression it might be possible to add a server that is not on my local network. I found a pod on runpod with that community template, created a server, but couldnt find anyway of configuring drawthings app on mac to recognize the server. I created a new template based on the newest docker image. But I'm still at a loss on how to make the drawthings app recognize it. Could someone point me in the right direction? I'll figure out the rest. Should i try to do a work around to make the server seem on my local network? Is there some setting on the app UI I'm not seeing? Or am I simply wrong about believing it is possible to do this?

So LTX-2.5 just got released. How long could it possibly take for it to be available?

I would like the CFG Zero value to be displayed with decimal places.

I’ve recently discovered how fun it is to control CFG Zero, so I’d love to be able to adjust it with greater precision.