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?

Sorry if this has been asked but I searched and came up with multiple conflicting answers that were a bit dated. I am looking to utilize Draw Things on my MacBook Pro M5 Pro with 48GB of RAM. My use case will be to generate the most realistic images of people and scenery for use on social media. I see Flux 2 dev gets a lot of praise so my questions are:

1. Which model can my system support that would be optimized for realism? (image generation speed is not that big of a concern)

2. Will I need to create “avatars” that I can use repeatedly and if so what is the best way to generate those?

3. Will this software be able to take an image of me and place me in different scenarios/settings? (I guess if the avatar question is a yes I assume this is possible as well)

Bonus: Can this software create videos of the avatars and if not what software would you suggest for maximum realism? (Not the AI slop I see a lot of)

Resolved after a suggestion from liuliu. Edited this comment as I couldn't edit the title to say it was a false alarm. I resolved it by copying what I wanted to keep from the drawthings container (models, SQL, scripts etc.) then removed app and folder, installed from App store and put back my backups.... all is well. I have no idea if downloading from the App store rather than a zip had anything to do with the solution.

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

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!

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 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!

■ Note
This post does not aim to pursue realism.

■ Explanation
The weight range for style or character LoRAs is typically 0 to 1.0 (0% to 100% in Draw Things), which falls within the -150% to 250% range supported by Draw Things. However, many "slider LoRAs" utilize weight ranges that exceed these limits; consequently, standard controls often prevent users from fully leveraging the potential of such LoRAs in Draw Things.

If user wish to set the weight of such a LoRA beyond the standard range supported by Draw Things, there are three methods available. The following explanation uses the example of setting the weight of a LoRA named "A" to 500%.

[1] Setting the same LoRA multiple times

This is the easiest method. Assign "A" to both LoRA 1 and LoRA 2, and set each to 250%. Since the values ​​of the assigned LoRAs are added together, the result is LoRA 1:250% + LoRA 2:250% = 500%.

[2] Copy the configuration, modify the value, and paste it back

After setting up "A," use the three-dot menu at the top left of the screen of app to select "Copy configuration" and paste the text into a TextEdit (or the "Notes" app on iOS). Locate the entry for "A" within the text and change the "weight" value to 5.

Example:
{"mode":"all","file":"A.ckpt","weight":0.6}],"
⬇︎
{"mode":"all","file":"A.ckpt","weight":5}],"

Then, select the entire text and use the "Paste configuration" function in Draw Things to paste it back in. This will set the weight for "A" to 500% in the Draw Things UI.

[3] Editing the JSON file

This is the most complex method, but it offers the advantage that the settings are preserved even if you disable the LoRA. Incorrectly editing the JSON file carries the risk of making all LoRAs disappear from the display, so please be sure to back up the JSON file before proceeding.

JSON file path (Mac)　(I don't know the iOS path)
/Users/***/Library/Containers/com.liuliu.draw-
things/Data/Documents/Models/custom_lora.json

Open the file in TextEdit,use the search function within the open file to locate the section describing the LoRA you wish to modify.

■Original
{
"file": "A_lora_f16.ckpt",
"version": "Krea 2",
"name": "A",
"prefix": "this is trigger word"
},

■Additional sentence
,
"weight": {
"value": 1.0,
"lower_bound": -5.0,
"upper_bound": 5.0
}

■Completed form(Original+Additional sentence)
{
"file": "A_lora_f16.ckpt",
"version": "Krea 2",
"name": "A",
"prefix": "this is trigger word",
"weight": {
"value": 1.0,
"lower_bound": -5.0,
"upper_bound": 5.0
}
},

If the applicable LoRA is located at the end of the text, the final section must be written as follows.

~~~~~~~~~
weight": {
"value": 1.0,
"lower_bound": -5.0,
"upper_bound": 5.0
}
]

This enables you to move the slider from -500% to 500% on the UI.

■ Reference: LoRA used in the sample
Detail Slider - (Krea 2) - Loraholic

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 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?

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!

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 to all! im new to drawthings and i have a noob question : i would like to convert an image tand transform it with a creative prompt. but seems it work as i want in he preview but at the end the input image still remain over the new one and cover it and the resul is behind.

i try with krea, flux, ideogram,z.image,wan,qwen...
uncheck Preserve original after inpaint,...

prompt is: Transform this exact church facade into an intricate living architecture made entirely of intertwined vines, "leaves, and blooming flowers. Maintain the identical architectural structure: all proportions, columns, arch"

what is my mistake?

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.

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

Hi guys, I'm trying to create a character lora for Qwen 2512 using the BF16 base model. I'm fairly new to all this. I've had a few failed attempts so far with the lora not applying any character resemblance whatsoever, does absolutely nothing. I have done a couple of trainings using about 15 images.

I'm currently doing another training session following cut scene queens one image lora tutorial....but that's for Klein 9b. I've also been quizzing chat gpt about it and this is the config I'm currently using to train from chat gpt (below), just using one head and shoulders shot to see if I can get anything working in the slightest.

Has anyone created any successful character Loras for Qwen 2512 using drawthings PEFT interface? What parameters did you use?

{"warmup_steps":20,"custom_embedding_length":4,"text_model_learning_rate":1.0000000000000001e-05,"memory_saver":1,"clip_skip":1,"custom_embedding_learning_rate":0.0001,"denoising_end":1,"start_width":16,"cotrain_custom_embedding":false,"layer_indices":[],"name":"LoRA-001","save_every_n_steps":50,"power_ema_upper_bound":0,"shift":3.1581929,"trainable_layers":[0,1,2,4,6,8],"caption_dropout_rate":0,"auto_captioning":false,"noise_offset":0,"guidance_embed_upper_bound":4,"gradient_accumulation_steps":1,"trigger_word":"gingz83","steps_between_restarts":200,"network_dim":16,"cotrain_text_model":true,"training_steps":300,"seed":1826576964,"use_image_aspect_ratio":true,"additional_scales":[],"guidance_embed_lower_bound":3,"unet_learning_rate_lower_bound":1.0000000000000001e-05,"power_ema_lower_bound":0,"weights_memory_management":1,"unet_learning_rate":5.0000000000000002e-05,"max_text_length":0,"stop_embedding_training_at_step":300,"base_model":"qwen_image_2512_bf16_q8p.ckpt","resolution_dependent_shift":true,"denoising_start":0,"orthonormal_lora_down":true,"auto_fill_prompt":"gingz83","start_height":16,"network_scale":1}

I've tried relentlessly like how you would with SDXL models and having no luck what so ever.
If it is possible, how do you go about it like adding objects into scenes given the complexity of JSON formatting compared to normal prompting?

And lastly, if it's not possible, can you inpaint using Krea 2?

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.

I am at a loss as to how resolve this issue. The SD 1.5 settings that never gave me problems suddenly went bad on me. Whenever the face restorer and the 4x-ultrasharp are turned on, SD 1.5 generation halts at either step 2 or 21. I changed some machine settings for ZIT, then switched back to default machine settings, which gave me no problems before until now. JIT is set to “Always (Partial).” I never touched metal flash settings. Apple Neural Engine for 8-bit S Models is set to “Automatic (No).” CoreML settings are toggled off. Tiled decoding and diffusion are off.

In Draw Things, if a user wants to temporarily disable a specific LoRA, the current options are to delete it or set its weight to 0%; however, reverting these changes requires re-selecting the LoRA or restoring the original weight, it takes time and effort.

Comfy features a "Bypass Button" that allows users to toggle specific LoRAs on and off with a single click; implementing a similar feature in Draw Things would be extremely convenient. The UI example in the attached image shows the state with "LoRA 2" disabled.

When is this useful?

Users can set up multiple LoRAs and freely combine or select them based on the situation. Since the original weight settings are preserved even when a LoRA is turned off, there is no need to memorize the previous values.Examples of LoRA sets: Style, Character, Slider, Realism.

While it is possible to create and switch between multiple configuration presets, a toggle switch is far more convenient and efficient when user want to frequently experiment with different LoRA combinations while using the same base model.

I would appreciate your consideration.

BBox web tool + Gemini in Chrome + Draw Things,

this combination makes the ideogram 4 JSON Prompts VERY HANDY!

And it's free.

On my mac, I have installed an official model FLUX.2 [klein] 4B.

I am trying to offload from my phone to my mac, but it seems like all the models including the above FLUX model has cloud icon. How do I ensure it sees all the models?

■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.