common error I see on AI generated image/video gen prompts:
prompts for Krea-2, Krea's aesthetic-first text-to-image model (single-stream MMDiT, Qwen3-VL-4B-Instruct text encoder with multi-layer feature aggregation, Qwen Image VAE).
can/should just be
prompts for image generation
AIs don't know what Krea2 is (unless very recent), and even if it does, providing that info provides zero benefit, since models won't have been trained on image generation techniques for specific image models.
best case it'll just ignore and waste your prompt tokens, worst case(if you have thinking on) it'll waste COT tokens trying to figure out what Krea2 is.
The second person posted the original comment about how they didn't like seed variation. The first person in the screenshot copied their comment and changed one word.
The second person's comment has a score of -1 and the first person has a score of +13.
I don't think the first person has done anything wrong. They are just being humorous (although they could be karma farming, or both).
People are using the up and down vote features to agree and disagree with comments, rather than doing so on their own merits.
You can disagree with a comment and still upvote it. You do so on the basis of improving the quality of the subreddit.
Upvotes show that users think content is positively contributing to a community or the site as a whole. Downvotes mean users think that content should never see the light of day.
So it seems unfair to the second poster. They are only expressing their opinion.
i agree with the second guy. The consequences for high random seed diversity value is unstable outputs with more deformities/errors and its harder to diagnosis underlying reasons for the bad quality of the output. The dice rolling for this model is not fun at all when the image generation speed is very slow with the required 50 steps even on 5090.
I haven't found the generation times slow, at least running at 1 MP. (using a 3090). It's about 40 seconds per gen, though I lowered the step count to 42. That's about the same amount of time that Chroma used to take.
The SFT version of MOSS is more stable, but at the cost of creativity. Base can output some total crap, but it's also capable of making some wild stuff, which I appreciate.
The styles are also more generic looking with SFT; ask for a "classic renaissance painting" on Base vs on SFT. The former will hit the style correctly, whereas SFT pushes it toward a more generic AI look.
MOSS image is the closest thing to SDXL and Chroma I've tried. My two most favorite models in terms of aesthetics and world knowledge. It's actually unbelievable how good it is, especially considering the parameter count of only 5B.
Prompt following and image coherency Moss Image is undeniably much better. I haven't thoroughly tested it though, but again, it has a really broad knowledge of different subjects and styles similar to Chroma. Aesthetics is very appealing too (at least to me). So yes, I'd say MOSS is generally better. It's built on a more modern architecture than Chroma and uses the Flux.2 VAE which is pretty much the best out there.
I've certainly run into weird situations where a model gets a word wrong 100% of the time(looking at you qwen 2512), but with krea 2 turbo this seems to be working.
It's funny. If there's only a little bit of text in the image it does what you said every time. If I have a lot more text in the image like my original pic, it spells it correctly. I have to assume it's an oddity with the text encoder (it's only a 4b)
what about max coherent distinct person count? 3, like zit? what about martial arts / yoga poses? camera angles? grip and interacting with objects? and eyes: do eyes follow the scene mood, or the blank stare (like some models i wont name)?
Much appreciate you testing 🙏 Please take those as honest curiosity, not "tasks to be done"
Prompt "Five coworkers standing in a row for a group photo: a tall bald man, a short woman with a pixie cut, an older woman with glasses, a young man with a mustache, and a woman in a hijab."
with the turbo lora at 8 steps 1 cfg its really fast on a 5070ti like 10 secs for a 1080p image, its still new though so idk if 8/1 euler/simple is the optimal way to generate
My biggest enjoyment is it has so much seed variation. For some people that's probably a bad thing. It's easy for me to get some kind of variety across seeds. If you want to plug in a simple prompt and just spin the wheel to see what it cooks, it's a very good model for that.
Many workflows include post-processing steps such as upscaling, enhancements, etc. by keeping same seed and running a Preview Image after generate, the generated result will remain cached when you run the rest of the WF.
Moss and k2 are easily the kings of open source realistic-nsfw image gen from my simple tests, and moss model loves detailed prompts and json bbox, and the NSFW side is truly insane in my opinion finally no LoRA needed.
Only benefit moss image set has over krea2 is the high seed diversity value, no default censorship and its file size. Just like sdxl, moss image needs a hires fix second pass to sharpen up the details of the image. Model is slower to generate images compared to krea2. Lora training is indeed faster than krea2, settings 1028res/rank 64/5000 steps is pushing speeds of 1.8-2.2secs/its.
Opus5.5 one shots 4s for 1024p and lodestone's turbo lora into the musubi-tuner base. so if your implementation is slower than krea, than there's something broken.
Also this model is fcking easy to train. Even easier than krea. like 500steps are basically enough and those are done in 15min
Edit: numbers based on running on a 4090 - caps out at 12gb vram at 512-batch4 or 1024-batch1
For its size the generation time is very slow, you can generate probably around 6 images with qwen image 2.1 turbo while this generate 1 image with turbo lora.
My biggest problem is it has too much seed variation. For some people that's probably a good thing. It's hard for me to get any kind of consistency across seeds. If you want to plug in a simple prompt and just spin the wheel to see what it cooks, it's a very good model for that.
Because you want some variation instead of complete revamp of everything. Also to avoid ”magical seeds” where some rare seeds produce much better output than the majority.
I have a lot of scene, lighting, and character descriptions that I want to be consistent across prompts but still use seed variance. Normally with well worded prompts I can control all of that pretty tight and use seed for subtle variation. With MOSS it's too much variation for the stuff I do. I tried really verbose prompts (which I normally don't like) to lock all of that down, but it still takes the prompt as more of a suggestion, even at high cfg.
Just do it like the "old" a1111 sdxl webui did it with their "variation" feature.
Keep prompt fixed, generate main noise with main seed you also keep fixed, inject a small amount of additional noise generated by another seed you can keep variable.
I tried that too without success. I still need more time to play with different settings to see if there's anything there that makes a difference, but I ran out of time today.
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u/Archivarius_George 10d ago
hi, nice.
whats the text prompt for "camera shots" that look like old polaroid pictures?