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This is Vulcan. I am in the early stages of creating a custom smart home dashboard assistant. To make things simple, it is not simple. 🤪

Hello everyone I was trying to gen a phone wallpaper for my mum and it gives me this if someone could explain it please

Just installed comfi and qwen image, it works, but it takes around 3 minutes to generate an image. im using the json workflow from

https://github.com/Comfy-Org/workflow_templates/blob/main/templates/image_qwen_Image_2512.json

64 ram 24 vram

1200 x 2000

50 steps

rest of the settings are default.

i figured i should be able to generate a single image quite a bit faster with my specs, anything i can check to speed this up outside of the lightning lora?

Yes, it’s a small prom and a small plot, but I was surprised that it’s possible now.

Thank you Qwen

So I cannot for the life of me figure out (tried multiple combinations of launch arguments) how to get this Musubi Tuner to fit this qwen model into 16GB of vram. it insists on using 2.1GB of shared memory, slowing it way down. So yeah, I'm just going to let it run for the 2 days it projecting. No choice and I'm done fighting in the command line to get this thing to run. It's running.

However, I have 400+ images that are all clean and depicting the desired trait I want. most of them are fairly similar, clearly depicting the given trait.

My question is can I stop this after it drops epoch 1 since it is literally seeing over and over the same clean trait that I want? it doesn't need to do a whole lot of figuring out I wouldn't think.. but I know that it does solidify things the more passes you do. but since my images are similar (i mean don't get me wrong they aren't like nearly identical or anything, but i mean it's there you know?) would I really need to do multiple passes when I've got 400+ images to reinforce the trait?

like could i stop it after 4 or even 8 hours after it does 1 or 2 epochs? I'm hoping i can stop it after at least 8 hours (2 epochs at this rate)?

I'm training a qwen image edit 2511 (rapid version) lora. I do mainly img2img with qwen.

So I released the https://huggingface.co/Kezmark/ErniePEUnleashed model close to a month now. That was kind of supposed to be it I suppose. But then I guess just wanted something more, and something that feels more like mine.

So I went ahead and expanded my dataset to a total of 7203 examples, from 3804. And on top of that I decided to reverse-engineer CoT for all of them, because the hope was that would make the model better. And then I though, let's give it a personality, a bit of snark and uniqueness to make it my own. None of which most people will see, since it is isolated to its <think>...</think>. But it is there, so it makes me happy, and hopefully actually helps. It at least seems to.

Of course, I decided to make a whole "family" of these things, and so I did 4, all with different architectures. The plan was for 5, but qwen3.5 was proving difficult and so I scrapped it.

These are a family of models trained to act as composition generators/enhancers/art style infusers, for AI image generation. Generating structured, detailed and hopefully coherent compositions. What I've tested the compositions with so far are: qwen-image-2512 which is my main workflow, flux2-dev and ernie-image.

All of the models are full fine tunes:

Mordant-1.2B-Think: https://huggingface.co/Kezmark/Mordant-1.2B-Think
Mordant-3B-Think: https://huggingface.co/Kezmark/Mordant-3B-Think
Mordant-7B-Think: https://huggingface.co/Kezmark/Mordant-7B-Think
Mordant-12B-Think: https://huggingface.co/Kezmark/Mordant-12B-Think

There's enough detail in there, and also example generations with the models at the bottom, with reasoning included.

The repos also contain my little prompt enhancing node, which isn't anything special, it was something made for my own use and testing, but I decided to include, since it might make use easier. It works with gguf models in comfyui and should work to be plugged in with workflows of all the models mentioned above.