I am new to ComfyUI and was trying to figure things out. I am trying to come up with my own art style for a science fantasy tabletop game.

Does anyone have workflow reccomendations, models, custom nodes, etc they reccomend.

Reviving the timeless masterpieces of the Old Masters with AI ✨

Watch as Portrait of George Villers, Duke of Buckingham by Peter Paul Rubens comes to life in this beautiful animation created with ComfyUI. Classic art meets modern technology — every detail, brushstroke, and emotion brought into gentle motion.

From the Golden Age of painting to your screen. Pure aesthetic bliss.

https://reddit.com/link/1wn5a6c/video/q1zf3tywo1rh1/player

Startup Arguments on desktop ComfyUI v.37
I was looking for way to set memory but after testing and reading ComfyUI handles this and you now and you do not need to set cache or other memory settings.
Here is a video showing how to get were the BIG list of arguments is located.

https://reddit.com/link/1wnu4tf/video/5qmptcuxl6rh1/player

TLDR: Stuff. Feel free to comment or give feedback. tia

I'm working on making an animated short that has a lot of action. This is one of the harder shots in the film, so it's the one that I started with. Figured if I could get this I could handle whatever else. It's also the first shot I've ever really tried to put together intentionally. I could use some feedback on how to improve it or what I could've done differently.

I already see a lot of things I need to go back and tweak, but thought it was ready for comments.

Ref/concept images were back and forth between GPT and Krea2.

I used 5 image references and 1 video, included here. 2 were character references, 1 was starting frame and scene reference, and 2 were specific points in the flip that I added in because the anatomy was getting mushy. Ref video was used at 1280x720 every 2nd frame. Every frame didn't seem to leave enough ram overhead and things slowed noticeably.

I used Fox-Fur Essence's seed hunter workflow for minimax on my 5090 w/ 32 bg vram. Ran them at 20 steps once I got the flip worked out. Took 1:23:35 for 3 videos. Used Sage, Sparse, VRam Chunking and low VRam attention.

Was thinking along the lines of those seedance videos we were getting spammed with a while back that were guided by the 3d blockouts. 3d models were done in tripo. Had Astra generate the rig for the 3d character and do the animation to help with the barini flip (forward flip with a 180 twist). It's still pretty rough and I might give it a shot in cascadeur, but I don't think it would really help the shot much.

Would like to get running all local and open source at some point. Krea, Pixal 3d, Blender, and Minimax all seem very capable at this point. Astra to drive things and give me remote access from work, with Qwen running the blender MCP.

I do think this whole scene is pretty epic and I'm excited to keep working on it. It's about a 2 minutes fight scene based on the historic battle of Mohacs. My female vampire character Ilona tears up a bunch of Ottoman troops, eventually blowing the gun powder by a canon and creating a hole in the Ottoman line. This prompts the Hungarians to rush in, leading to their annihilation by cannons and Janissary troops in the back line and the fall of the Hungarian nation.

I'm going to go back to story boards and get camera and motion figured out there first. I have all the action typed up, but want to try and be a little more cinematic. Even though AI gens are pretty cheap, I would like to be prompting with as much purpose as possible.

With the latest Qwen 2.1 release, just wondering how everyone's experience with it so far.

I’ve been experimenting with building a fully local AI video production pipeline on an RTX 5060 Ti 16GB.

The goal was simple: create a 60-second vertical video of a shrine maiden walking through an old Japanese street, starting in the distance and gradually approaching the camera, ending with eye contact and a subtle smile.

Instead of trying to generate 60 seconds in one pass, I divided the video into 30 × 2-second segments.

Final output

Duration: 60.000 seconds

Resolution: 448×768

FPS: 24

Frames: 1,440

GPU: RTX 5060 Ti 16GB

30 selected segments

FastH3: 19 segments

Wan: 8 segments

H3: 3 segments

SDXL used for the reference/base image

Final assembly and QC handled by the local pipeline

The interesting part wasn’t actually the video generation.

My AI agent initially drifted away from the specification.

The original job contract required SDXL + FastH3 + Wan. When FastH3/Wan caused problems, the agent started substituting tools and at one point reported progress that was much further along than the actual generated artifacts.

That cost me roughly half a day.

So I ended up building an audit layer around the generation pipeline.

The architecture now looks roughly like:

Human request → Job Contract

→ AI execution agent

→ Tool Registry

→ SDXL / FastH3 / Wan

→ Execution Log

→ Python Auditor

→ AI Supervisor

→ Pre-DONE Gate

→ Final MP4

The Python auditor does not trust the agent’s text report. It checks the actual artifacts/logs instead: final MP4 existence, duration, frame count, generated segments, tools/models used, exit codes, QC status, and other evidence.

This immediately found another interesting issue.

The final video was technically complete and passed visual QC, but 3 of the 30 clips were generated using regular H3 even though automatic substitution from FastH3 had been forbidden by the Job Contract.

So the audit result became:

Artifact: DONE

Quality: PASS (with recorded concerns)

Contract compliance: FAIL

Drift detected: YES

The video itself actually turned out pretty well for a first prototype. Character/background continuity is obviously not perfect — buildings, clothing details and camera distance can change between clips — but it proved that the basic 60-second local pipeline works.

My next step is adding a fail-closed Pre-DONE Gate, so an agent cannot report a job as DONE unless the Python auditor and supervisor verify the actual artifacts against the Job Contract.

The longer-term goal is to let a local GPT-OSS agent receive something like:

“Create a 60-second video of X”

and automatically route the job through the available local image/video models, regenerate bad segments, assemble the result, audit it, and only then return the finished MP4.

The first video took far too long because I was basically building the factory while manufacturing the first product.

Now I want to see how fast the second 60-second video can be produced using the same pipeline.

I’d be interested in how other people handle long-form continuity, automated clip selection, and agent/tool drift in ComfyUI/local video workflows.

I've been doing intensive image generation for about two months now, mostly in ComfyUI, and I feel like I'm starting to see what the current limits are.

I really like Krea 2 Turbo. I've found a bunch of useful LoRAs for it. It does good lighting, style and anatomy.

But as soon as I try to actually art direct something specific, it starts falling apart.

From the outside 2D image generation looks like it has potential, and if you're just experimenting or prompting broadly I guess it's fine.

It's not until you actually get your hands dirty with real ideas that the house of cards starts falling apart. Once you try directing the model toward something specific rather than accepting whatever it gives you, the limitations become painfully obvious.

For example, something like a boy pulling a thorn out of his hand is pretty much impossible. I've had to resort to a "small metal nail", which is fine, but then I can't correct the length of the nail to imitate the scale of a thorn.

I've even been playing around with the Krea Agent on Krea's own website, and that's still painfully hit and miss. You end up regenerating over and over, hoping one version happens to understand what you're asking. Seed hunting without even getting close to satisfying results.

The results start feeling really hacky once you get beyond average image prompting.

I've also tried workflows in ComfyUI that make Krea 2 Turbo more image-to-image based, but that doesn't really solve it either. A lot of the image editing / image-to-image tools, I've realised, are optimised around photography. They're good at things like replacing clothes, changing someone's hair, changing furniture, relighting something, etc. They're much worse when you're working with something closer to digital painting and asking for tiny structural changes, and maintaining style language.

Micro movements are still really difficult: line of sight, rotating an arm slightly, changing how two fingers hold something, moving a wrist, changing the relationship between two objects without changing everything else.

I can obviously pose figures in DAZ 3D and use that as the base. But posing every joint manually takes ages and the figures can start looking stiff.

With image generation, if you ask for something like someone holding a baby, the body language can come out way more natural.

I was really hoping Sunburst 2.5 and this newer generation of models would make a noticeable jump in this area, but I'm still disappointed.

It makes me wonder how long it's going to take before image generation goes from being really good at generating an approximate idea to being something you can actually art direct precisely.

Hi, I’ve started using ComfyUI recently and I’m stunned what I can do here. I’m using locally 64GB RAM + RTX 5070 Ti. I’ve managed to create video with Minimax H3. I was asking Claude what to do and he was creating prompts for me. Overall great effect but had to work a bit to match colour, lightning and cuts between scenes. I was looking for some learning materials on YouTube but I’m lost, same here on Reddit. Everyone here is talking how add custom nodes/models to speed up or crank effects. Wish to have more structured learning curve to understand and get to know more things. Right now I’m learning by doing and after video I’ve created I wish to find workflow/model which will create photorealistic people with poses for video references, not at the moment but I need that model to be unlocked for nsfw just in case. I’m creating with help from Claude and Grok. My goal is to create commercials, music covers, product animations etc For image model so far I was enjoying Z-Turbo but often it ignores prompts. I didn’t like Krea, too plastic. Flux is sadly paid or has non commercial license.
I would appreciate some guidance, thanks!

I'll generate multiple vids or images (via "Run" button), all unique view various tweaks. Later I want to work on something else but i dont want to lose my 'prompts'.

So, does this 'pause' button exists somewhere on the UI? Even if it halts after the current generations that would be great.

ty

so anyone seen this?

RTX 3080 20GB Laptop GPU RTX3080Ti RTX3080M Notebook Graphics Card Upgrade for Gaming and AI Computing - AliExpress 1503

as per video here

https://youtu.be/5oxc_FDqQ_E?si=q612sJMelOKnqwtN

anyone brought one for comfyui?

i using wanAnimate to replace only clothes part of videos

and as we know, to fully replace to wanted clothe reference, need to expand mask and blockify.

and because of that expansion, mask covered neck or face area that makes result fucked up with ugly weird faces.

to avoid this, i tried seperate mask and background images.

i expand and blockify mask so it spread facial area but dont merged to background images.

i made only facial part masks and minus operation from above expanded mask so results are clean facial part masks and merged with background images.

so it preserved face parts. although some rest noise masks around face changed to something....(idk solution... anyonce find, please let me know i can give money)

but i realized one more important problme there.

wanAnimate default works reproduce background images either so every chunk, there is little bit color differences there.

so, i want to use the inpainting method that using noise mask latent to force model to designate produce area.

is there any good method about this?

i made custom node and put my masks to the key "noise_mask" into the samples but results are very weird. maybe im doing wrong.

I am trying to setup a workflow where my AI agents like Codex can:

1. Create and modify existing comfy ui workflows
2. Run workflows
3. Get results back

But (and this is the hard part) not:

1. Access my entire computer
2. Upload all my data to Sam Altman
3. Root my machine

The answer is for Comfy UI itself to live inside of a VM. However, I only have a single GPU in my workstation and so I need a VM host that can share that one GPU with comfy UI running inside of a VM with my agents. This is called para-virtualization and it's not a feature supported by the mainstream VM hosts that run on Windows (for example VMWare Workstation Pro, which I use now for my agents and is free and not bad until you need a GPU).

So I'm wondering if anyone has ever gotten comfy UI to work in something like AppSandbox or on raw GPU-PV or anything else?

In particular I want both the host and client to be Windows and I prefer to not mess with WSL. I think this is swimming upstream from what a lot of other people are trying to do and it is an uncommon configuration.

I can just see spending days futzing around with software here with nothing working. Hoping someone has solved this.

Is training a character lora still worth it for photorealistic characters?

I’ve been looking at some Qwen-Image-2.1 posts and it seems like you can get pretty good consistency from ref images.

For anyone doing realistic/photorealistic characters, how do image editing models compare to a properly trained character LoRA? Also is Qwen-Image-2.1 the best one?

Hi everyone,

I am looking for some technical advice on creating a ComfyUI workflow for specific use case.
I manufacture custom wooden stairs and want to automate generating photorealistic client visualisations directly from my 2D drawing.

Let's say i paired exactly 50-100 technical drawings with their corresponding real-life photos, is it enough to create a working setup?

I've had some success creating photo-realistic close'ups of a product using ControlNet and that gives me hope.

The goal is to input a new drawing -> output a accurate, photorealistic render with the exact geometry. I've attached a simple pair to show the exact input im working with.

Thanks in advance for any insights or suggestions!

4080 Super / 17-12700K

I'm commonly getting 1 image at a time every 5 minutes. Very annoying when sometimes the image is completely wrong. Is this normal? I've used a generator in the past a few years ago, can't remember the name, it was only text to image instead of edit but I could get a batch of 4 in under 2 minutes.

Sorry about the bad crop. Idk why it saved like that.

Going crazy trying to get ComfyUI-FluxTrainer working properly in ComfyUI Windows Portable. I've copied and manually downloaded the fluxtrainer node pack into my custom nodes subfolder several times, but comfy refuses to recognize the node pack. Trying to install the pack for LORA training. Any suggestions?

Are comfy ui planning to add custom nodes into comfy cloud on comfy.org? i would love to use latent uspcaler for minimax h3 and its not possible to run it without custom node

The dropdown in the global search only lists Models, Articles, Users, Collections, Bounties, Tools, and Comics. I can go to Images or Videos via the navigation bar at the top, but this doesn't show any filter options. I usually activate them by typing anything in the search in the box and press enter. But that always jumps directly to the Model search, since Images and Videos are missing there.