yeah bbox works quite well with minimal prompt leakage

@Lynx2025 Model is insane, my Krea prompts are simplistisc AF (I don't use LLM's) but this model understands basically the most basic stuff and it gets right, it has some deformation with fingers and sometimes it gets body horror's but I believe that is a issue with the turbo LoRA, but with time it will be a great model.

Krea2 still good for the near future. 12 buzz/image with Turbo. A lot of LoRAs and checkpoints. It'll take a few months for MOSS to truly unseat it.

comfyui works fine. update comfy to latest build instead of stable, or just wait a bit for a new stable update

I don't think it's superior to Krea2 honestly, but definitely a nice mix of Flux and Anima. If they release MOSS XL or something like a 12B parameter model, then yeah possibly. The license is very good as well.

That was quick.

Adding on for anyone interested in training as well, the paper only covers their dataset preparation methodology briefly.

For a better idea of how the MOSS team captioned their images, do check out this guide under their GitHub repo -> https://github.com/OpenMOSS/MOSS-Image/blob/main/USERGUIDE.md#post-training

there is a turbo lora
https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd

I used for the following images:
https://civitai.red/images/145922389
https://civitai.red/images/145919628
https://civitai.red/images/145915725
https://civitai.red/images/145899953

@aj_prime8517 man that was fast :D thank you very much

@aj_prime8517 Super fast gens with the turbo lora thx. 1.5mp takes 10 secs now lmao

@mu5ic3oy337 yep. 12second now for me and quality is great too.

@infernahermit846 you are welcome!!
But all the praise for the creator of the lora, I am only an user of it

@aj_prime8517 I understand but I had no idea there was a lora before you mentioned it.

quality above speed, Turbo loras kill quality, the model is fast to begin with if you play with the settings and have a capable GPU

@hRUSTIN474 Every model is fast if you have a capable gpu, thats not the point and we dont have capable gpus. also the lora with 15 to 25 steps generates superb images with high quality and since we are using 1 CFG it's fast.

@infernahermit846 other option is to use the lora with 8 steps and CFG 3 that is I use with my images, in generation time should be equivalent to 16 steps with CFG 1, I don't know which combination provide better quality (concept that on the other hand is subjective) and maybe it will depend on the kind of images are generated, for instance I don't usually generate realistic images of people

@aj_prime8517 True. for me any CFG higher than 1 burns the image a little bit but at 15 to 25 steps gives me a really high quality output. it's fine with 8 step 1cfg but body hair, grass becomes plastic(ish) and skin gets too soft.

But for cartoon/3d looking stuff cfg3 works really well, like the bee you made.

All the images I uploaded here were generated in 8-steps with the unfinished Turbo Lora from Lodestones. CFG1.0 Euler-SGMUniform. Seems to work pretty well.

@Talanca Yep, me too, uploaded 8 images, with the range from 10 to 25 steps.

Same people are focusing on an anime version. Imagine that.

No innate support for artist tags is a huge negative sadly ;_;

@DaddysLilMistake Yeah, but it's always better to use a lora for that as it will always give a better result
One thing i like a lot is that it's able to get characters very well
I even tested on some obscure characters and the model was able to make them

@DaddysLilMistake Had a feeling "kills Anima" was a bit overstated.

Could you tell me how to use this?

https://github.com/OpenMOSS/MOSS-Image/tree/main/comfyui
Official node pack doesnt have a custom scheduler node

I'm not a comfy user but according to Grok:


1. Create a folder for the node

Bash

cd /path/to/ComfyUI/custom_nodes
mkdir my_moss_scheduler   # or any name you like

2. Put the .py file inside

Copy your ready Python file into the new folder, for example:

text

custom_nodes/my_moss_scheduler/moss_scheduler.py

3. Create init.py

In the same folder create a file named exactly init.py with content like this (adjust the import and class name to match your file):

Python

from .moss_scheduler import YourSchedulerClassName   # change to the actual class name inside the .py

NODE_CLASS_MAPPINGS = {
    "MOSS Custom Scheduler": YourSchedulerClassName,   # the key is the internal name
}

# Optional – nicer name that appears in the menu
NODE_DISPLAY_NAME_MAPPINGS = {
    "MOSS Custom Scheduler": "MOSS Custom Scheduler",
}

__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]

How to find the class name: Open the .py file and look for a class that has:

INPUT_TYPES (or the newer define_schema)

RETURN_TYPES (often ("SIGMAS",))

FUNCTION = "get_sigmas" or similar

CATEGORY = "sampling/custom_sampling/schedulers" (or similar)

Use that class name in the import.

4. Restart ComfyUI completely

Close the server and start it again. Refresh the browser (Ctrl+F5).

After restart, search for the node name in the node menu (right-click → Add Node, or the search bar). It should appear under the category defined in the file (usually sampling/custom_sampling/schedulers).

5. How to use it

Most custom scheduler nodes output a SIGMAS tensor. Typical wiring:

Connect your MODEL (and steps / denoise if the node asks for them) into the custom scheduler node.

Connect the SIGMAS output into a SamplerCustom, SamplerCustomAdvanced, or KSamplerAdvanced (the sigmas input).

Do not use the normal scheduler dropdown on a regular KSampler when you feed custom sigmas.

Quick checklist if it doesn’t appear

Look at the ComfyUI console / terminal for import errors (red text).

Make sure the folder contains both the .py file and init.py.

Class name and import must match exactly (case-sensitive).

No syntax errors in the Python file.

If the file already contains NODE_CLASS_MAPPINGS at the bottom, you can sometimes just drop the single .py into custom_nodes/, but the folder + init.py method is more reliable

Are you sure this qwen was not finetuned?

no

I'm using my Intel Arc b580.

(Intel cards) For fast enough int8 you should rewrite default pytorch int8 processing - asked AI to do it. Currently 1.5 seconds per step (was 4 seconds per step in int8 initially), but can be better as bf16 is initially 1.5 seconds per step without any improvements - it just have better software support. I have used only free coding agents for it. Waiting for limits lift to continue optimization.

no sir... 9070XT here (2Mp latent) : "100%|██████████| 50/50 [01:20<00:00, 1.61s/it]"

;)

I'm running it just fine without NIVDIA

That’s the same for me, bro lol

I cleared out the storage for Krea 2 and Qwen 2.1, but Krea 3 is already coming out...

remove ALL old image models

https://www.reddit.com/r/StableDiffusion/comments/1x7zf1r/hey_guys_im_one_of_the_core_developers_of/

You found a lot of information on this topic, awesome! I've subscribed, keep it up, bro :)🔥

thanks for your information！

Better than krea2 I think. No need for uncensor loras, has no plastic skin or vae issues and is faster.

OH YES! It is completely uncensored. It can do tentacles as well! :D :D

@bpbp2 my first impression is its on par. it feels less 'alive' than krea2 though, just a feeling i get after looking at a bunch of images. seed variety is much better though.

It does, i believe it doesn't have artist knowledge
I even tried some obscure characters and it did well

@danilen52 nah model doesnt know a donghua characters, i did generate 3 last images with popular ones - yaoxixue, 姚惜雪, 仙逆 and feng nianyun, 百炼成神 封念云

Maybe! But now our priority is to release an anime version of the model.
yeah, anime data accounted for a tiny fraction, and we're not really satisfied with its current performance.

I just used my Krea2 flow - switch the clip to moss-image and switch the models out.

You do need to update your comfy to the latest version.

@Fatbuns did it already, i get '
The value moss_image for Load CLIP's type is not available.'

I'm using latest protable version. it is not yet added to comfy's templates either. but works for me.

@yoloswagg45 Not sure if it will help (or if you already tried this), but I was getting the same error after installing the latest requirements, did a git pull in the comfyui folder and the moss image option for the clip appeared after that.

Yes, but it's extremely sensitive concerning correct hand and feet anatomy, and hardcore NSFW stuff depends a lot on the seed and you need some luck.

Yeah it seems crazy but it legit works, and as @Experimental_dAIver stated, hardcore stuff is a dice roll, I tried cunnilingus (as that's the hardest thing for ai to do nsfw) and I get it like 1/5 seed attempts.

For 5B checkpoint it's even great, can be compared with ZIT/ZIB with more parameters. Don't ask about FLUX Klein, 2 and 3. Just forget them.

It has various minuses in textures but TBH, I don't look at them because the subj is a loyal to weak GPUs with good perfomance. SDXL/SD1.5 were also poor someday.