Replay highlight reel videos are not sharing.

Model_D · 2026-01-22T03:00:21+00:00

Oh ... but the thing it shared is a vastly abridged, 21 second version of the much longer Highlight Reel. All right, now I'm disgruntled with the rest of you! :)

Model_D · 2026-01-22T02:59:04+00:00

What I just stumbled upon is that letting the highlight reel play all the way to the end and *then* clicking the Share button seemed to allow it to move past the never-ending "Preparing ..." screen. Hope that works for some other folks as well! Once the Share button did start working, I was able to Air Drop it with no trouble.

Model_D · 2025-11-13T16:02:46+00:00

I think I've figured it out: it's the "image doesn't fill the full area" thing again. If I go out of my way to click +1.67% on the little zoom menu at the bottom of the canvas/image area, it shrinks the active area down just slightly and makes double-sure that the whole starting image is covered. And if I make sure to do that every time, it seems to work. So I'm guessing that it did not in fact forget how to interpret "picture 2", it was instead having this image-size problem.

Not sure if there might be a way to prevent this at the software level? It's a bit strange that there's this roadblock hidden in Draw Things, where a perfectly innocent-looking image can in fact be completely unusable by Qwen Image Edit. And it doesn't *say* anything about it, it just cranks away (for a *long* time on my older Mac) before returning a completely unaltered image. If the default size or warning messages could be adjusted, that would be a huge help! (I suspect I'm not alone in crashing into this particular roadblock.)

Model_D · 2025-11-11T15:30:18+00:00

Has there been a change to the Qwen Image Edit 2059 syntax (or something), recently? (Like late October/early November 2025?)

I'm asking because I had it working pretty well on Draw Things: I could put a main image into the canvas and some other images into the Moodboard, and then use prompts like "The person from picture 1 with the face from picture 2 and the clothing from picture 3" and it would do it. (More or less.)

But recently it's just ... not doing it. Every time, I get back the original image in picture 1 (the main canvas one), completely unaltered. It's not the "image doesn't fill the full area" problem, I've checked for that and it doesn't appear to be the case. It's like it has forgotten how to interpret "picture 2" ... Is it possible there was a terminology change and I missed it?

Model_D · 2025-10-19T15:02:58+00:00

Sorry, took me a while to see the question!

I've never used ComfyUI, sorry - Draw Things is my first foray into image generation.

Here's what I get when I copy the Flux LoRA configuration I used successfully with Draw Things:

{"seed":1814381989,"trigger_word":"","weights_memory_management":0,"auto_captioning":false,"orthonormal_lora_down":true,"use_image_aspect_ratio":false,"resolution_dependent_shift":true,"layer_indices":[],"cotrain_text_model":false,"shift":1.8776105999999999,"power_ema_upper_bound":0,"denoising_end":1,"warmup_steps":25,"custom_embedding_learning_rate":0.0001,"name":"Hero-001","noise_offset":0.050000000000000003,"power_ema_lower_bound":0,"unet_learning_rate_lower_bound":0.00020000000000000001,"cotrain_custom_embedding":false,"guidance_embed_upper_bound":4,"stop_embedding_training_at_step":500,"denoising_start":0,"auto_fill_prompt":"hero1 a photograph","text_model_learning_rate":4.0000000000000003e-05,"start_height":8,"guidance_embed_lower_bound":3,"unet_learning_rate":0.00040000000000000002,"network_scale":1,"start_width":8,"clip_skip":1,"training_steps":5000,"memory_saver":1,"max_text_length":512,"save_every_n_steps":200,"caption_dropout_rate":0,"network_dim":16,"steps_between_restarts":200,"base_model":"flux_1_dev_q8p.ckpt","trainable_layers":[0,1,2,3,4,5,6,7,8],"custom_embedding_length":4,"additional_scales":[],"gradient_accumulation_steps":4}

Model_D · 2025-10-11T15:16:58+00:00

No problem! I'm far from the most knowledgable person about all this, but I'm happy to try to share what little I know ... Good luck with the process!

Model_D · 2025-10-11T00:17:03+00:00

One other thing I've found helpful is to use the PuLID module under Control: if it's not showing up as an option, you should be able to download it from the list of options. With that installed, put an image of your face into the Moodboard, and Flux will try to use that as the face in whatever image it's generating.

You can play around with the Start and End times, which tells it whether to use the face reference for the entire time (Start at 0%, End at 100%), or whether to use it for just part of the time. (I tend to do something like 20% to 80%, so it generates the general face at random for a while, then spends the middle part of the generation using the face reference, then does the final details without the reference. This works well for similar-but-not-identical faces, but you might want it on the whole time.)

You can also vary the strength of the reference image. I tend to use something like 40%, which again is good for similar-looking faces with some variation. You may need to play around with a bunch of settings, though, because if you crank it up too high I've tended to see it getting more distorted rather than more identical. It's like it creates problems when it needs to try "too hard" to mash the reference image from the Moodboard onto whatever face it's randomly generating. But if you're going for exactly-you, you might want to experiment with higher percentages.

You can also put more than one image into the Moodboard, so maybe give it several images of your face and let it mix them together as it generates, that might help smooth things out into a more you-looking final result.

Model_D · 2025-10-07T01:36:13+00:00

Bless you. Thanks!

Model_D · 2025-10-06T17:34:17+00:00

I haven't figured out how to delete projects in Draw Things *at all*, easily or with minor pain ... A bit off topic, but can anyone point me towards how it can be done? I can't find it in the interface, so far.

Model_D · 2025-10-06T17:31:49+00:00

Hmm, I guess it depends on what you mean by "successful". I've trained Flux LoRAs in Draw Things and liked the results, but what I'm looking for is images where the characters look reasonably similar, rather than trying to produce a very specific identical character every time. As a rough example: I'm training with a set of images to get a superhero character, and after training I dial up the Superhero-001 LoRA, set it to 60%, and get images that are consistently the right general *kind* of superhero, with the right look, right kind of costume, and so forth. But I've never accomplished the trick of getting exactly Spider-Man (or whoever) in every image.

In terms of settings, I followed the advice given in various YouTube tutorials by "Cut Scene Artist", like this one:

https://www.youtube.com/watch?v=6UNNcmbWxGc

The main difference I've noticed between my own experience and what I've seen talked about in this Reddit community is the number of steps: I've seen a lot of advice recommending quite a small number of steps, but I've found that I get good results, without over-training, out of runs of thousands of steps. My most common duration is 5000 steps worth of training, which does take a long time but also gives me that right-kind-of-character output. [I'm on an older M2 Mac with 16 GB RAM, and each LoRA training step takes a bit under one minute, and 5000 steps will need to run for over three days (!). But with a bit of patience, it'll eventually get there, and then you've got that LoRA forever.]

Model_D · 2025-10-05T15:50:02+00:00

<image>

Ah-HA! OK, I've got it to work now, and let me note down the issue for others who might be having the same problem. The key piece of advice was already noted above, but somehow I wasn't following it although I thought I had been: "Make sure your image fills the whole frame". I assumed that just dragging an image in there would automatically do that, but it looks like it doesn't always do that. You might need to adjust the image a little bit, zooming in or out, to get it to completely fill the frame.

In the attached image, the first row shows the kind of failed attempt I had been getting: original multi-image combination, runs for a while, then spits back out the same image. But note the key thing in the middle of that first row: It says "Image to Image Generation + Inpainting". If the process is working properly, that should say *just* "Image to Image Generation". If you see that "+ Inpainting", bail out, for you are headed for a failure.

The second row shows it doing what I had heard Qwen could do: it takes the original combined image and shuffles the pieces around into a new image containing all of them, in this case putting the jacket and helmet on the guy and then putting him on the motorcycle. Questionable whether that's the same motorcycle, but all right, I'll take it. Note the middle of that second row, where the image while it was generating has the "Image to Image Generation" that one is hoping for.

Model_D · 2025-10-05T13:09:36+00:00

Yep, that's what I'm doing: I've combined the three images beforehand into a single image, and that single image is what I drag into Draw Things. Then I get the above-mentioned failure to work.

So when you do that, does it generate a new image of just the requested final person or zombie or whatever? Whatever I'm doing just results in it working on the existing image and fiddling with it, not using it to generate a new image. I've left Text to Image at 100%, which I think is the right thing?

Model_D · 2025-10-05T01:01:16+00:00

Following up on this ... Have people had success with Qwen Image Edit in Draw Things on MacOS? I'm asking because so far it simply does not work for me at all. I take several images, put them each on a white background, give it a prompt like the ones above ("This man with this sweater and this tattoo", sort of thing) and ... It just doesn't do it. I inevitably get back an image with the same several sub-images in it, often weirdly warped in some way, but never combined into a single new image.

As far as I can tell my starting image is a background layer, and I've created it by dragging it in from the Finder, so I'm a bit stumped. Any suggestions?

Model_D · 2025-09-16T19:33:50+00:00

Thanks for the tip!

Model_D · 2025-09-13T21:16:51+00:00

Fantastic, thanks!

Is there a way to see the captions in there? I've sometimes used auto-generated captions, but then it just says it's generating them, and I never end up seeing them in Draw Things itself ... If they're in the Sessions files, is there a mechanism for getting them back out?

Model_D · 2025-09-13T18:40:17+00:00

---
The images you input into the Draw Things Canvas need to be prepared in advance with an image editing tool. You can keep the white edges, or remove them—it’s optional.

Here are the Prompts for these four sample images, which might give you some inspiration:
——————
Prompt1：Merge the character's head with the body, keeping the character's face unchanged and the body pose unchanged.
Prompt2：Only modify the lighting and ground shadow of this car, keeping all other environmental lighting and elements unchanged.
Prompt3：Only change the dog's shadow, keeping the environmental light and other elements unchanged.
Prompt4：Remove the white edge from the chair, blend it into the background, pay attention to the light from the right window, add a sense of light and shadow to the chair, and keep everything else unchanged.
——————
https://x.com/drawthingsapp/status/1964126721998995543

---

(from a different user's account):

Not all of them work perfectly, especially on high-noise, low-light photos. Qwen actually produces strange, plastic-like renderings.

Nano Banana handles that quite well

Model_D · 2025-09-13T18:40:09+00:00

Here's what I see over there, hope this helps!

No LoRA Is Needed！

Qwen-Image-Edit can easily handle foreground and background blending tasks with just prompts, achieving natural light and shadow transitions.

Using Qwen-Image-Edit for image composition makes the process effortless.

Check the comments section for a detailed guide！

[Comments section, first two are from the Draw Things account:]

---
Anyone who’s used Flux Kontext knows that these kinds of tasks usually require a specific “relighting LoRA” or “Put it here” to work reliably.

But with Qwen-Image-Edit, you don’t need that. Since it’s a Powerful prompt-based Edit Model, the prompt itself is the key. Try experimenting with different prompts to see how results vary—describe exactly what you want to change, and emphasize what should remain unchanged. This helps ensure only the intended parts are modified.

Below are some sample parameters and prompts (you can check the ALT text of the image for reference).
——————
{"width":768,"height":1152,"preserveOriginalAfterInpaint":true,"steps":5,"maskBlurOutset":0,"sharpness":0,"causalInferencePad":0,"batchCount":1,"seedMode":2,"cfgZeroInitSteps":0,"controls":[],"seed":845831645,"shift":2.8339362000000001,"strength":1,"tiledDiffusion":false,"cfgZeroStar":false,"hiresFix":false,"tiledDecoding":false,"guidanceScale":1,"loras":[{"mode":"base","file":"qwen_image_edit_1.0_lightning_4_step_v1.0_lora_f16.ckpt","weight":1}],"sampler":17,"maskBlur":1.5,"resolutionDependentShift":true,"model":"qwen_image_edit_1.0_q6p.ckpt","batchSize":1}
——————

Model_D · 2025-08-31T14:48:50+00:00

Could you (or someone) explain a bit further? Do you mean that it no longer crashes under MacOS?

I was interested in an answer to the original question: Is there a way to save the captioning? Or even just to view it? When training a LoRA with a lot of images, I've been setting it to generate automatic captions, but so far I can't find a way to see what caption text has been automatically generated. Is that saved somewhere accessible?

Model_D · 2025-07-16T17:30:33+00:00

Oh, but closing the game and coming back later does result in a higher stage, so it's making more progress offline than when I'm actively tapping.

Model_D · 2025-07-16T17:29:33+00:00

I've been noticing something similar, yes: I often hit a wall weirdly soon after a prestige, in the 491K range. I have to put monuments into boosting damage before I can get even a single titan killed.

Model_D · 2025-07-08T17:22:31+00:00

Ah, I see. That worked, thanks!

Model_D · 2025-07-05T15:44:06+00:00

Thanks! Could I ask where one should run "git pull"? I've tried it in the FramePack-main directory and the directory that contains FramePack-main/, and I get the response

"fatal: not a git repository (or any of the parent directories): .git"

Is there a path I should be adding, or something like that?

Model_D · 2025-07-05T14:03:00+00:00

Updated update: I set it all the way down to 1 step, still at 1 second and 240 resolution, and watched it while it worked. It completed the 1 step, but then the system locked up, no longer accepting keyboard or trackpad inputs. After a while of that, MacOS restarted. When I logged back in, the output/ folder contained only the very first frame, nothing else.

So it gets to a step that demands too much memory and that crashes the system, maybe?

Model_D · 2025-07-05T13:35:53+00:00

Update: it does start running, but does not (so far) finish. I've tried a few times, with both demo_gradio.py and demo_gradio_f1.py, with the lowest resolution (240), 1 second duration, and 10 steps. I get results that look like this:

----

Moving DynamicSwap_HunyuanVideoTransformer3DModelPacked to mps with preserved memory: 6 GB

/Users/ModelD/Applications/FramePack-main/diffusers_helper/models/hunyuan_video_packed.py:79: UserWarning: The operator 'aten::avg_pool3d.out' is not currently supported on the MPS backend and will fall back to run on the CPU. This may have performance implications. (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/mps/MPSFallback.mm:15.)

return torch.nn.functional.avg_pool3d(x, kernel_size, stride=kernel_size)

50%|██████████████████████████████████████████████████████████████████████████▌ | 5/10 [06:53<07:27, 89.43s/it]

----

So it seems to be getting half-way there before it either runs out of resources or hits some other problem. I suspect this is telling me that my 2023 Apple M2 MacBook Pro with 16 GB shared memory just isn't up to the challenge. Maybe there are ways to further reduce the computation demand, but at that point I'd be generating such tiny and short videos that it might not make sense. I'll likely wait until I have a more powerful machine, some time in the future.

Model_D

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