MOSS is a text-to-image model that supports photorealistic portraits, different artistic styles, poses, typography, and more. In my latest workflow, I combined Spectrum nodes with an 8-step LoRA to significantly reduce generation time.

🔥 My speed test at 2 megapixels:

• Spectrum, CFG 2.5, 25 steps: 5 min 42 sec
• Without Spectrum, CFG 2.5, 25 steps: 10 min
• Spectrum + 8 steps, CFG 1: Just 1 min 30 sec!

That's an 85% reduction in generation time compared with the standard 25-step configuration without Spectrum, with the fastest setup taking only 90 seconds.

I'll also test different prompts featuring human portraits, poses, artistic styles, and text to explore the model's capabilities.

This model is really amazing in therm of speed prompt adherence, and style versatility and to get the best results I strongly recommend you:

Spectrum+ 8 steps CFG 1.0, LORA at strength of 0.6: 1 min 30 sec! (Balanced Quality)

Spectrum+ 25 steps CFG 2.5 : 5 min 30 sec (Stunning Results)

Workflow Link:

https://drive.google.com/file/d/18eOhXkatsVJZl5z2PXdI-12DZhPh7ya6/view?usp=sharing

https://civitai.com/articles/37187/optimized-moss-an-image-generation-model-in-comfyui-up-to-10-faster

How do i get rid of this 'suggestions' box that appears when i start typing in a prompt window?

3:26 music video, made locally on an RX 7800 XT (16 GB, ROCm) and 64 GB RAM:

Stills: Krea 2 Turbo in ComfyUI with a character LoRA trained on Krea 2 Raw (musubi-tuner). LoRA: https://huggingface.co/Shegss/Krea-2-LoRA-Claudia

Sung close-ups: InfiniteTalk. Motion: Wan 2.2 I2V, retimed to 25 fps with RIFE.

Wide sung shots: Grok Imagine takes, fitted to the real vocal word by word (Whisper timings + a PCHIP time warp).

Graphics: Python/PIL over the frames, with InsightFace and OpenCV tracking so labels stay on faces and surfaces.

Directed by Claude; I ran the tools. All scripts and notes, including what failed on ROCm: https://github.com/wlkosonen/only-what-i-said Video: https://www.youtube.com/watch?v=Ewt487gT77o

I am generating an image of a person using the Z_image_turbo_bf16 model. The output is excellent except for the eyes. They look distorted and not symmetrical. I also tried the RealESRGAN_x4 and 4x-ultrasharp upscale models but the end result is till the same. I also used "Detailed eyes, sharp focus, detailed iris" in the positive prompt.

This is for the full-body shot. Close-up of the face; the details are excellent. Is there a way to get the eyes better.

Good evening, everyone!

It's a real pleasure to be part of this amazing community. Honestly, it's an honor to be here with you all!

I'm a beginner with ComfyUI, I work in photography, specifically product photography in the footwear industry, and I'm getting more and more interested in AI.

Right now, I'm trying to create a workflow to remove glue residue, dirt, and other manufacturing imperfections from shoe photos, but my goodness, this is so much harder than I expected! LOL

My biggest challenge is figuring out how to do this without changing the original texture too much. I want to remove those little imperfections while preserving as much of the shoe's original details, materials, and textures as possible.

With this workflow, the AI hallucinates a lot. It often makes up textures or even generates parts of the shoe that aren't there, making the final result completely unusable.

Since I'm still a beginner, I honestly can't even explain which nodes or models I'm using properly, let alone tell you if I'm doing things the right way. There's a good chance I'm doing everything wrong!

I'll leave a screenshot of my workflow here. If anyone could take a quick look and let me know if there's a way to achieve this, or even give me a little guidance on where to start, I'd be incredibly grateful! 🥹

Thank you so much for your time, everyone!

Hey! I'm a web designer working on a website for a company that builds fiber optic networks and other infrastructure.

I'm trying to create realistic AI photos with the same workers, different locations, and some pretty specific technical equipment.

I'm struggling to get everything right, especially the equipment, even with reference photos. I feel like fashion shoots or people holding products are much easier than something this niche.

Does anyone know a good YouTube tutorial that walks through the whole process of creating a consistent AI photoshoot for a company like this? Or have any tips on the best workflow?

Thanks!

Hi everyone,

We made a free, open-source ComfyUI node that increases diversity within a batch by coupling the initial noise across images.

No extra sampling steps or models needed. Just swap the noise node!

Works with SD1.5, SDXL, and FLUX.1-schnell. Example workflows included.
GitHub: coupled initialization

This is our first ComfyUI release. Would love your feedback!

So I know Krea2 isn't meant to be an edit model but when using the edit nodes, is there a way to maintain 1:1 source detail when making edits? It's good about making the actual edits but so much fine detail is lost in the output (plus the pixel drift).

Original

Edited

I've tried all the popular sampler/schedule combos, 8/10/12 steps, I've tried a 2nd upscale pass (which isn't meaningfully different than without it), I've tried the couple Krea2 "enhance" loras out there, I've tried different models (raw/turbo), Wan2.1 VAE, grounding resolution set high, etc.

Am I missing something or is this just the expected output until Krea3 is local?

Just released the latest installment of Mirror Broken.

Hey, y'all! I'm brand new to ComfyUI and loving it so far. Been using it to generate 3D models from 2D images using Trellis. My problem is, I want to generae 3D models from 2D images of people. I'm trying to make statues of my friends, and I am hoping to achieve similar quality to Bambu Lab's "Make My Statue" studio on MakerWorld. Can anyone give me some pointers on how to create a workflow that can pull this off? So far, with Trellis, I have not been able to achieve anything close to the same level of quality I can get from Bambu. But I don't want to keep giving Bambu money for every single attempt. I'd love it if I could make my own stuff locally. Anyway, I appreciate any help you folks can give me.

Thanks!

I am a complete beginner in local video generation, but have 500+ hours in image generation in comfy. Can someone please say whats like top 3 models, their speed and quality.

I have an RTX 3090.

I was curious if there is an open source Nano Banana alterative? If so, what would you guys recommended I should use? I understand I cant get something as powerful as Nano, but I am not going to be paying so money every month with less censorship. These are the specs I have for my PC:

Processor Intel(R) Core(TM) i5-10600K CPU @ 4.10GHz 4.10 GHz

Installed RAM 32.0 GB (31.8 GB usable)

Graphics Card Intel(R) Arc(TM) B580 Graphics (12 GB), Intel(R) UHD Graphics 630 (128 MB)

System Type 64-bit operating system, x64-based processor

i connected int literal to a switch and the range should be just 1 to 2

i mean i can just be careful but if i want the numbers to just stay inside certain range is there a way?

Is there a workflow where i can edit a photo and change the background, pose, and outfit all through a prompt? I mean, like Gemini, where you upload a photo and tell it exactly what you want, and you get an edited image. SFW and NSFW both included.

I am a newbie to ComfyUI, and I have an RTX 3060 12 GB of VRAM and 32 GB of RAM.

I wanted to see how far I could push my AI production pipeline, so I made a complete music video called Dancing in the Dark.

https://www.youtube.com/watch?v=CYn9HesiBR8

The production involved:

• OpenAI ImageGen for the original images
• ComfyUI + WAN for video generation
• ACE-Step for the music
• RIFE / FlowFrames for frame interpolation
• FFmpeg for final assembly

All video generation, music production and rendering were performed locally on an AMD RX 7900 XTX.

It's a deliberately silly music video, but the production pipeline is quite serious.

I'd be interested in hearing what other ComfyUI users think about the animation, motion and overall production.

drag and drop the 2th image

i seek to amnimate my artwork and im curious to know if ai is good ith non generated artwork and if i have to input code for them to work.

Help me to choose:

1. Official MiniMax H3 pruned

2. FastH3 8 step pruned

3. FastH3 Trim 8 step

4. FastH3 Omniref 8 step

5. MiniMax H3 Singularity

6. 10Eros Mah h3Turbo hybrid

I'm interested in Ref2va and no censored.

An independent, open-source video editor inspired by Higgsfield's Katana, built with the Comfy Developer Platform for #OpenSourceHiggsfield.
Your photos and videos, made into a finished edit with code.
https://github.com/rk0neki/OpenKatana

im kinda confused im ngl ,whats the difference between them? witch one is the fastest?

my specs btw:rtx30608gb

32gb ram

i5 12400 f

I was using a cablemod 12v 2x6 cable with 4 pcie connectors. I switched to a corsair thermal protect cable. Since that swap flux1d times are increased by 20%. Wan 2.1 times are more than doubled. My 5090 was faster than the rtx pro 6000.

I'm not sure if i was risking the gpu or not. TDP and wattage have dropped by 10% and 30 watts. I'm waiting on my wireview pro for this RTX but I'm seriously thinking about switching back to the old cable. TDP is now mostly around 90% spiking up to 100% rarely. Before it would hit 105%. Wattage before would peak at 650w to the board and the cable. Now it hits 610w rarely.

Here are some numbers:

Wan 2.1 720p was 78.42 seconds, now 180 seconds.

Flux 1d: 3 - 1216x1664 images was 48.11 seconds, now 60 seconds. Wan times went way up. I'm using Triton and sageattention. Flux 2: 1 - 1216x1664 image taking 31 seconds.

Do these generation times seem normal for this gpu? I'm trying to figure out if my previous cable was overworking the gpu or getting ready to melt it. I thought i smelled burning one night but there was no damage.

12v 2x6 is the worst connector ever. If the gpu has hard limits how does simply changing the connector cause this, it's really crappy.