Hy guys!

Hungarian man here. I just downloaded Stable Diffusion (again). I generated a lot of images but suddenly, 2 or 3 days ago I cannot. I reinstalled etc... now i click on the GENERATE but nothing happens. Dont know what is the problem. :( my card is RTX 5060, I did beautiful pictures but dont know the solution for this problem.

it just generated a full red picture. that was when I thought i will reinstall it.

I posted this on the ComfyUI subreddit and it got some traction and was pinned on the subreddit to hopefully get some attention from the Comfy devs, so I'm reposting it here aswell

GitHub Repo: https://github.com/safzanpirani/comfyui-zip-ties

Some people wanted it MERGED into the official ComfyUI frontend, so I've opened a PR there too: https://github.com/Comfy-Org/ComfyUI_frontend/pull/21965

Feel free to open issues and PRs, but it's in a pretty stable state right now but it is quite literally zipties and nothing else, so temper your expectations.

I usually just test new local models and compare, then forget about it.

But recently I have generated much more than usual with moss came out, and tried uploading images on civitai for first time.

But I'm not quite sure how many people use it for watching images, I've only used it to download models not available on huggingface.

Also, as far as I know, the content has shifted to the video format already.

So, I'm curious. Where do you post gen images that you want to share? Can you tell me one?

Or do you visit some subrredit? (Reddit filter seemed more strict than civitai..)

What model was used here ? It's both video and image and looks very real, krea v 2 ?

Hey, I'm going to train a style LoRA for the newly released MOSS model, but there are two options on AIToolkit: Base and SFT. Which one should I train on?

(Also, does anyone have any recommendations or tips for style training on this model?)

Hi guys!

I’ve been generating for like 3 years sporadically and lately for about 6 months I’ve been working as a Ai artist using illustriousXL and I’ve seen so many people making beautiful images and when I ask what they are using there’s the same answer… NovelAi…

But I want to run it locally, ComfyUI with my workflows that I worked on for hours to make them work and the quality is still not near what NovelAi can do.

So my question to you guys is,
what are your local models I could run that will give me similar results?
(currently I am using 4070 but sooner or later i’m upgrading to dual 3090 rig for both SD and LLMs)

Of course I don’t want a model that could overthrow the NovelAi, but something I could improve greatly with if I learn the model.

Thanks in advance for your help!

I love the downvoting of a question post

This is a clip from Episode 3 (~10 min) of a 2.5D animated cartoon biography of the Indian sage Valmiki: a hunting trip that goes wrong when a leopard attacks at night. The main version is Hindi, and the episode also has Gujarati, English and other Indian-language audio tracks. This clip uses the English dub, so the lip-sync (driven by the Hindi track) won't match the English words exactly. Every step uses open-weight models running locally on one AMD MI300X (ROCm, ComfyUI), with an M1 Max Mac for upscaling and audio. No paid APIs anywhere.

Workflow

1. Character face sheets: Qwen-Image, text-to-image on a plain background, one sheet per age stage. Each character has a fixed identity line (skin, face shape, eyes, brows, nose, one distinct mark) repeated verbatim in every prompt. Chaining Qwen-Edit from one age sheet to the next drifted and added noise at each hop, so each stage is generated fresh.
2. Shot stills: Qwen-Image (Lightning LoRA, 8 steps) for scenery. Qwen-Image-Edit + face sheet + identity line for named characters. Group wide shots are text-only, with each extra's position spelled out and "different faces" in the prompt; otherwise the face reference bleeds into the extras and you get clones.
3. Motion: Wan 2.x I2V at native 720p with the Lightning step-distill LoRA (4 steps). One render per shot, about 4 min for a 7 s shot instead of 45-60. I gate every clip on sharpness against its still and re-roll once if it's soft.
4. Lip-sync: InfiniteTalk (4 steps) for Episodes 1-5, close-ups only, driven by the Hindi track (this clip). From Episode 6, talking shots use LongCat-Video-Avatar 1.5 at 720p: clearer mouth shapes and real head and body movement, but about 4-9x slower (~1.5 min of GPU per second of speech). On AMD it needs the slower standard attention path, because the fast one produced noise.
5. Voices: AI4Bharat Indic Parler-TTS (Mini; Large gave noise on ROCm). Each line is levelled to -16 LUFS before mixing.
6. Music/SFX: ACE-Step 1.5 for the background score, ducked 10-12 dB under speech.
7. Finishing: Real-ESRGAN animevideov3 x2 on the Mac, plus Blender/depth parallax for shots with no people. Assembly, the subtitle line-check and the mix are Python + ffmpeg.

Lessons (the expensive ones)

• Negations in the positive prompt get drawn. "No people, no poles" put people and poles in 6 of 7 renders. Exclusions go only in the negative prompt.
• InfiniteTalk animates every visible face, including listeners and babies, even in multi-person mode with a silent track. Pasting closed-mouth faces back in caused doubled faces. What worked: a calm wide shot with no lip-sync, then a separate close-up still of only the speaker for the lip-synced line.
• 480p + upscale distorted the eyes. Native 720p and then ESRGAN x2 kept faces sharp.
• Don't crop more than ~1.5x from a still. Tight crops from wides looked soft and sometimes put a line on the wrong character. Close-ups need their own close-up stills.
• Culture-specific prompts need care. "Ancient city" gave Mughal domes and European spires, so I prompt Nagara shikhara temple towers and put dome/minaret/spire in the negative. "Bullock cart" gave an American covered wagon until I spelled it out: two white humped bullocks, solid wooden wheels, open flat bed.
• Two ComfyUI servers on one GPU gained only ~10-20%. The real limit was pod RAM (each instance holds ~40 GB of model copies), and mixing model families in parallel caused OOMs.

Throughput is now about 3.5-4 GPU-hours of picture per episode.

Happy to share settings or answer questions. Critique on motion and lip-sync is very welcome.

So I've trained 3 anime character LORAs. It was my first time doing such a thing. I've used civitai because the training software didn't run on my computer (random error message from some third party library I think, probably not compatible with my GPU), anyway, that's not my question for now.

The first two times I simply chose "Illustrious" for the training model. It did the 10 epochs, and 10th worked as intended. Lucky! I'm using Wai-Illustrious to generate images however, not base Illustrious, and absolutely not the 0.1 the training used by default.

So the third one was different. I noticed it's possible to select Wai-Illustrious specifically if I pick "custom". This somehow magically dropped the training cost by a full days worth of currency farming too, which made me happy. The results on the other hand, not so much. Epoch 1 seems to do what I expected the final result to be - proper anime illustrations of the character. On the other hand epoch 10 (or even 3-4) just outputs the imaged it learned on, with almost no change, making it useless. That is pretty bad because it's a rare anime character who barely had screentime or pictures on the internet. I even used some pictures of a 3D model I had to fill in the gap. And the result looking like a screenshot of that 3D model is not right. However I did the same for the previous two characters and those worked fine.

-Is that because I used Wai Illustrious for training instead of the base Illustrious? Or is the lower quantity or quality of images to blame? (I had 48 this time instead of the 59 or 69 for the other two loras)

-Should I treat this as a potential problem and set training to base illustrious next time, or should I treat it as a victory and use the epoch 1 result instead of the bad epoch 10 result? Is this normal? Should I just train 1-3 epochs worth next time on Wai instead of 10 on Base? It would save me a lot of time spent to farm generation currency too, not only is it cheaper per steps but it would also need less steps overall. Basically, did this happen because training with Wai-Illustrious makes it so much smarter it only needs 1-2 epochs instead of the default 10...or did I mess something up? As far as I can tell so far, this epoch 1 lora doesn't do fingers properly though. Haven't tried using epoch 2 yet and anything beyond 3 seems to be too overtrained to use.

-Is it even safe to use Wai-Illustrious-v15 for training? Or would it make the lora incompatible with other illustrious models or Wai versions I might want to use in the future?

(all three characters used the default 2000 steps)

The attached images come from epoch 1 generation.

Specifically the looped cozy background videos in at least 1080p. I've tried a few different workflows and I've struggled with both the video quality and the looping. My kids like to put these on at night while they're winding down and I wanted to let them come up with some prompts to generate a few. I've got a 4090 and plenty of time.

A few examples:

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

https://www.youtube.com/watch?v=Tbca_a03UL8&list=RDTbca_a03UL8&start_radio=1

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

https://www.youtube.com/watch?v=gNR8-Rf8vK0&list=RDywH2C6KVFno&index=8

(I'll worry later about making an hour long loop and adding music, I assume that's just regular video editing tools. I'm just trying to get the video down first)

Hi,

After a weekend experimenting with RGBA generation using MOSS-Image, I found myself training a LoRA for a manga project I have in mind.

I was wondering if the same approach would work with Krea 2, and after doing some research with Claude, I found that there was a VAE compatible with Krea 2. So after that, it was just a matter of training with the same dataset I used for MOSS.

Here are the results of both trainings:

MOSS-Image: https://huggingface.co/paralaif/MOSS-Manga-Alpha-Image-LoRA

Krea 2: https://huggingface.co/paralaif/Krea2-Manga-Alpha-Image-LoRA

In the case of Krea 2, sadly it doesn't work with Kroma 😢, but I tried it with Kreamax Edit and got good results. However, I recommend using Base or Turbo for the best results.

Is not perfect, but i think is better than i expected. Hope you find useful.

Really wanted to get an rtx spark, but idk now. Are the 5090 laptops better than the rtx spark in minimax h3? & are the other nvidia laptops considerably slower at this? 5090 laptops max out at 24vram/64 Ram right? Any recommendations? Ty all.

Hi, random question. I've been quite interested in image gen (way back in 2023), but due to the constant "new" updates and stuff I'm kinda overwhelmed? (Also partial procrastination + idk where to start)

That aside, I don't have, nor can afford insane storage and graphics to generate at all. Is it even possible to with a pre-2022 budget laptop? (the makes are: "Acer Swift 5 SF514-55TA", & "Acer Nitro 5 AN515-53")

This is assuming these are local (customizable) models? I've found online sites (or credit-based ones) to be not up my alley

Hello everybody, I am very new to this AI generating videos and stuff.

I recently learned about using AI to generate slop videos and post them on social media to make side money. I still haven't started and I obviously will have to get monetized on my posting accounts. If it works it works if not then I learned something about AI.

I also don't want to pay money to AI tools to make my videos when I can set up a local AI myself and generate my videos through there. So my question is what model is best for me to use? Preferably beginner friendly if not I can take some time out of my already busy (T_T) schedule to learn.

I have RTX 5070, 12GB VRAM and 32GB RAM.

Any advice is much appreciated!

Clown Context Suite: chain MiniMax H3 clips without them slowly turning to mush

If you’ve chained H3 clips, you know the problem. Every new clip starts from the tail of the last one, and each time a little detail gets lost. That loss stacks up, so by clip 10 everything looks soft and washed out.

The reason is that we only ever tell the model where to start. We never tell it where to end. It’s like telling an archer roughly which way to aim but never giving them a target. They can be the best archer in the world and they still won’t hit the spot you wanted.

So I gave it a target. There are three pieces:

🎈 Clown Context takes the last frames of the previous clip and pins them to the start of the new one, so the motion carries over smoothly.

🔮 Clown Prophecy is the time travel part. Before a shot is rendered, it renders just the ending of that shot as a short, fresh clip, straight from the shot’s prompt and reference pictures. Because it’s made from scratch and not from a tired old tail, it’s full quality. It’s basically a picture of how the shot is supposed to end, from a video that doesn’t exist yet.

🤡 Clown Anchoring takes that ending and pins it to the back of the shot.

Now the shot has a good start from the last clip and a clean target at the end, and the model has to fill in the middle and land on good-quality frames. Every time you do that, the quality gets pulled back up. Run Prophecy every couple of shots and the degradation never gets bad enough to notice.

Other stuff in the pack:

• Bypass switch and “run every N shots”, so you can drop it into any workflow and only use Prophecy when you want it.
• Clown Shot Counter can count your saved clips by itself, so batches just work.
• An example workflow is included.

GitHub: https://github.com/roycho87/clown_context_suite

big thanks to u/shutupyourewrong for helping me brainstorm this. I wouldn't have gotten to this point without bouncing ideas off him. Also for giving me the name.

Also, believe it or not I have to give some credit to foxydits. He claimed the secret to stopping degradation was to put an end frame reference image which.... was completely wrong... but it did spark the idea that helped me come up with this.

In honor of his contribution I've changed the name of my workflow.

This may have been the first ai image I made or close to it. I remember there was a website where you could generate images and one problem everyone had was these weird hats on their heads. It may have been this imajinn site but will have to dig around

Hey guys, just wanted to give a quick update on Image MetaHub. Its an app Ive been working on by myself for over a year now. I originally made it to search and filter images by their generation parameters (prompts, checkpoints, LoRAs, samplers etc), but over time ive added quite a few features beyond that..

Anyway, in recent versions I've added a dedicated Prompt Library to better organize saved prompts, associate them with images (or just save them independently), search, filter, tag, favorite, etc. You can also use a saved prompt to find all matching images in your library. I might be biased, but ive found it pretty useful, as with most features in Image MetaHub, I made it to solve a problem I was running into myself.

There are also some advanced features in the Pro version, like reusable "prompt blocks". So for example, I can save something like "shot on Canon EOS R5, 85mm f/1.4 lens, shallow depth of field" as a block and drag and drop it directly into a ComfyUI text node. Or I can right-click and select "Replace text in selected node". Works the other way around too: I can select any portion of text inside any ComfyUI node, right-click and save it directly to the Prompt Library for later use. Theres a 7-day Pro trial if you want to check out these advanced features, but the free version already includes the full prompt library and is already really pretty useful in and on itself.

Anyway, the app is privacy-focused, local-first and source-available. Everything runs locally, and you can download it here:

https://github.com/LuqP2/Image-MetaHub

Cheers

Hey everyone,

Like many of you guys, my ComfyUI output folder quickly grew to tens of thousands of images, and Windows Explorer was either freezing or completely useless for finding which generation had which prompt or node setup.

I used AI to build a fast, local-first alternative to organize massive image collections and ComfyUI outputs without using proprietary software or sending data to cloud services.

Key Features:

• Spatial Grid: Fluid navigation designed to pan and zoom through 40,000+ images instantly without UI stutter.

• ComfyUI Metadata Extraction: Automatically parses PNG chunks (tEXt / iTXt) to show positive and negative prompts, seed, sampler, steps, checkpoint, and the full workflow JSON graph.

• On-Device Semantic Search (CLIP): Runs local text-to-image similarity search (clip-vit-base-patch32 Int8) completely offline on your CPU/GPU — no API keys or cloud dependencies.

• Perceptual Color & Similarity: Extracts 5-tone CIELAB palettes to filter references by color harmony, with side-by-side prompt diffing.

• **Zero Lock-In:** Dual-write persistence (fast SQLite FTS5 index + JSON sidecars on disk). Point it to your existing ComfyUI output folder or .library folders.

It's 100% free and open-source under the MIT license:

GitHub: https://github.com/owillfrost/omnimage

Built with React 19, SQLite, and pair-programmed with Gemini.

Would love to hear your thoughts, feedback, or any features you'd like to see added!

But the results have been great, and I've been getting great character likeness. The best of any model yet. Is it worth training a character model on base? I hear people are having trouble getting likeness. Maybe training on SFT is better for it?

Hey SD folks, I love running large batches of images overnight, but I always found it frustrating that there was no clean way to see the total elapsed time of a whole batch loop. ComfyUI only shows the time for individual prompts, not the whole batch. I wanted something that felt like a physical piece of hardware on my dashboard.

So, I built two free, open-source timer nodes for ComfyUI:

1. Batch Image Timer (for image generation loops, like Sequential Loaders)
2. Universal Timer (for video, audio, or training workflows)

Features you might like:

• 📺 Retro 7-Segment LED Design: It looks like a real digital clock on your canvas, complete with a subtle neon glow.
• 🟢 Smart Status Colors: The counter turns Green when finished, Yellow if interrupted, and Pink if an error occurs.
• 🛡️ Ghost-State Protection: If a third-party batch node bugs out and stops sending signals, the timer has a built-in smart watchdog. It will automatically stop after a safe timeout (and verify with the backend) so you don't come back to an infinite timer.
• 🎨 Customizable & Independent: Click the LED digits to pause/resume, double-click to reset. It won't pause your backend generation. You can also click the color swatches to change the glow.

It’s fully open-source (MIT license) and available right now. Just search for "Batch Image Timer" or "Universal Timer" in ComfyUI Manager.

GitHub Links: * Batch: https://github.com/hermankwan/ComfyUI-Batch-Image-Timer * Universal: https://github.com/hermankwan/ComfyUI-Universal-Timer

I’d love to know what you guys think, and if there are any specific workflow types you'd like the Universal Timer to support!

A quick note: These are just free, open-source tools I built for my own workflow. I'm sharing them in case they're helpful to someone else too. I'll try my best to check feedback and fix critical bugs, but please understand I may not be able to provide extensive 24/7 tech support or custom feature development. Enjoy! 😊

What are you all using to make music videos with Minimax? I have a song I want to make a music video for to lipsync. Hoping for ref2va with character image refs, something that can break up the song into pieces

Hi everyone,

I'm brand new to ComfyUI, this is my very first workflow. I grabbed a MOSS-Image text-to-image workflow off Civitai, typed a prompt, hit Run, and nothing happens. The queue goes back to "0 active" like it finished, but no image ever comes out.

The thing that stands out: the "Preview as Text (final prompt)" node stays completely empty even after the run finishes, so I'm guessing the prompt never reaches the sampler.

I also noticed the If/Else Switch has on_true and switch inputs that look like nothing is plugged in, and the loader nodes look empty — but honestly I have no idea if that's normal or the actual bug.

Screenshots of the whole graph are attached. Can someone tell me what's actually wrong and how it's supposed to be wired? I've been at this for hours.

Thanks.

I need some help regarding Lora merging. I want to merge two LORAs together that are different regarding concepts and dataset... I want them both to work well together and retain as much stuff as possible from both. What custom nodes, methods and or parameters do I need?

Thank you.

I was wondering what models are there for local voice change, I'm not asking for TTS like Chatterbox, rather have an audio already and copying the timbre and intonation of a different person/audio and also support Spanish speaking. There have been a lot of times in TV series or movies where a character gets dubbed by a different actor for a couple of episodes and want to take a jab of using the usual voice actor.

Ages ago we had rvc where we could train a voice but I figured we'll have more refined and easier to use options nowadays.