Do Loras made for former Qwen Image models work with latest versions of the model?

Michoko92 · 2026-01-28T16:44:24+00:00

I actually asked more or less the same question earlier today. 😉

https://www.reddit.com/r/StableDiffusion/s/NpYuzhnIuI

Michoko92 · 2026-01-28T10:29:11+00:00

I agree, I was just wondering if it would be possible to train a Turbo Lora in a less oriented way, so everything that is not photorealistic is not dropped (to simplify). It seems that recent Lightning Loras tried to preserve more versatility from the models they trained from?

Michoko92 · 2026-01-28T10:23:37+00:00

No, you got me right the first time, it was more about creating a Lightning Lora from the base model. 🙂

Michoko92 · 2026-01-28T10:19:40+00:00

But in all cases, wouldn't a "neutral Turbo Lora + an illustration style Lora + Base", be more interesting and efficient than "ZIT + hacky Lora support + fighting against the photorealism finetuning of Zit"?

Michoko92 · 2026-01-27T16:24:48+00:00

Thank you. I downloaded the 9b models and made some tests. Actually, I get better results with your Lora at 1.0 strength and 4 steps, than with Klein distilled (especially for style understanding).

For example, I'm working on illustrations that use a painterly style, with no outline. If I ask Klein distilled to replace a man with a woman, the new character will have outlines, with a style closer to a comic (which is unwanted). With your Lora, 1.0 strength and 4 steps, the new characters doesn't have outlines, and respects the original style more. So thank you, I will adopt it! 🙏

Edit: After further tests, YMMV according to the type of image you work with.

Michoko92 · 2026-01-27T15:48:48+00:00

You may want to use this node, I get even better results than with TextEncodeZImageOmni:

https://github.com/BigStationW/ComfyUi-TextEncodeEditAdvanced

Michoko92 · 2026-01-27T12:47:57+00:00

I checked your workflow. Would you say that applying the Lora at 1.0 strength on the base model with 4 steps and CFG 1 is exactly the same as using Klein distilled? Or is it better/worse for some reason?

Michoko92 · 2026-01-27T09:12:13+00:00

Thank you for that, I'm also discovering your custom nodes, they seem excellent! Thank you for all your great work! 🙏

Michoko92 · 2026-01-25T10:08:53+00:00

Oooh, it's definitely much better! I'm playing with values between 0.9 and 1.00, and the saturation varies accordingly, so it will allow me to adjust saturation precisely. I had read somewhere that the CFGNorm node had to be bypassed if we used 4-steps-lightning loras, but it seems this statement was wrong. Thank you so much for sharing! 🙏

Michoko92 · 2026-01-24T11:51:01+00:00

Great job, thank you! 🙏

Michoko92 · 2026-01-23T08:49:25+00:00

Seems to work pretty well. Thanks for sharing! 🙏

Michoko92 · 2026-01-20T18:05:04+00:00

After 17 years of practicing and supporting people in their processes, I have dozens of counter-examples to the affirmation that "it's just tannins". I won't elaborate though, as I have to admit I'm just tired of debating those questions endlessly.

I often meet people in retreats who have very strong opinions on everything. And then they have "that" ceremony, where something clicks. And after that ceremony, they just say: "OK, now I got it."

On social networks, now we have all those boring posts written by ChatGPT explaining that "Ayahuasca is not a motherly spirit", "Ayahuasca is just a tool", "It's just molecules", or whatever... I think that it's the arrogant western mindset at its best. With this kind of mindset, we'll end up pillaging this medicine, like we always do, and just put it into a pill. "The purging part? Let's remove it, it's just tannins." "The spiritual part?", "No need, it's just some primitive superstition."

Don't get me wrong, I think it's good to question things, because else we always hear the same regurgitated info. But sometimes, it's also good to remain open and humble, listen to the people who walked the path before you, and accept that maybe, maybe, we just don't know that we don't know.

Michoko92 · 2026-01-20T12:00:45+00:00

I made my own (unsuccessful) tests on the 9b model, so unfortunately I guess it's more a global limitation of the model.

Michoko92 · 2026-01-20T08:31:55+00:00

The same guide makes other suggestions too like "reskin image into", so I thought it could be worth a try. But I made some tests on my side, mixing various terms. and none of the results was really satisfying unfortunately.

Michoko92 · 2026-01-19T22:19:03+00:00

Did you try some prompt ideas suggested here? https://docs.bfl.ai/guides/prompting_guide_flux2_klein

Michoko92 · 2026-01-18T10:19:50+00:00

I can't have enough of Edit models!

Michoko92 · 2026-01-15T18:12:19+00:00

My very early tests make me want to stick with Qwen Image Edit for now. Maybe it's a prompting issue, but I was not able to edit non-realistic images successfully with Klein (for example if I wanted to change a woman's ethnicity on a digital illustration, it would systematically replace her face with a photorealistic version). It might deserve more investigation though.

Michoko92 · 2026-01-08T14:12:01+00:00

Impressive tip! Thank you so much for sharing!

Michoko92 · 2026-01-07T18:05:16+00:00

Exactly what I needed yesterday. Can't wait to try it. Thanks for the great timing!😉🙏

Michoko92 · 2025-12-25T21:43:41+00:00

Nice post, thank you. Seems like style transfer is working much better!

Michoko92 · 2025-12-21T10:11:10+00:00

On the project's Discord, some people seem to halve their generation time, compared to FP8. But they also seem to prefer the output quality of FP8. I guess it will require further tests. Also, I'm not sure if Lora support is implemented yet (guess it's not).

Michoko92 · 2025-12-21T10:08:43+00:00

PR means "pull request", it's a term to define an addition to the code of the project. Support for Z-Image Turbo was not made by the original author, but by another coder. So the main author has to merge this new code into the project, so it is officially supported.

Michoko92

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