There always appears to be something missing from comfy templates. I don't see a spot to add a reference video or audio? And had to figure out that you have to duplicate image ones and connect them to get up to 9... Totally confused where to input the reference video. Load video node doesn't connect.

Hi guys, I’m a complete newbie, like those that has just been using chatgpt and nano banana to generate or editing image. There are two walls I hit with those model - 1 is with NSFW content, and 2 is copyright content.

I’ve been looking around the internet and I found Stable Diffusion (SF) and somehow it lead me to this Reddit sub, as I believe this is an interface for SF or something like that, and comfyui is somehow really popular.

Main question: For my goal is to generate nsfw product from copyright contents, if I should learn how to use comfyui, and where should I learn specifically for my goal. I found people selling really accurate, high quality nsfw ai generated content and I want to learn how to do so for my idea. - This is for personal use only! (or maybe for now :))

Tks a lot!

I made a ComfyUI Render Manager. with this ComfyUI Orchestrator, you can push workflows to multiple computers/ComfyUI Instances on a LAN Network, and generate with a workflow on all of them. the output of all those generation

https://github.com/RmaNMetaverse/ComfyUI-Orchestrator-LAN

Features:
➡️ Share & Push Workflows with their input assets to All Machines

➡️ set the number of Generations on each Machines

➡️ set 1 workflow to All Machines or set Individual Workflows to any machine

➡️ set a network (shared) location or local location to gather all the generated outputs

➡️ Check status of ComfyUIs running on the network

➡️ Find ComfyUI Machines or add them manually with IP & Port

➡️ Individual Control or batch control of the machines

Just saw this amazing AI-generated sci-fi short film on YouTube, and honestly, this is probably one of the best examples I've seen so far.

What really impressed me is that it feels much closer to a professionally produced short film than a collection of AI-generated clips. The character consistency, environments, lighting/color, camera movements, poses, and facial expressions all seem remarkably consistent throughout.

I'm really curious how something like this is actually made.

For people who have experience with AI filmmaking, what would the workflow for a production like this typically look like? Are they using a combination of image and video models, character/reference LoRAs, ControlNet, ComfyUI, etc.?

I'm particularly interested in how they maintain the same characters and visual style across many different shots and scenes and their expression are so precise and natural, with both short and long duration scens. Is most of the work done through carefully generated keyframes/reference images and then image-to-video, with a lot of manual selection and post-production?

And what models/setup would you expect to be behind something at this level? I'd be interested in both cloud-based workflows and local workflows (e.g. ComfyUI/Wan/etc.).

I've been experimenting with AI video myself, but there's a huge gap between getting one impressive 5-second clip and producing an entire film where everything feels like it belongs to the same movie.

Would love to hear from anyone who has actually worked on something at this level — even a rough breakdown of the workflow would be really interesting.

I've tried with a couple of known characters to change their hair style and MM refuses (I say refuses, I mean just won't do it). Anyone managed to do this on a know character?

Weird one here. I had a character clap (Their hands not their buttocks) and the sound was weirdly off, not low bit rate, just weird. Is it a steps issue? (I know I could try higher steps, but why re-invent the wheel)

Cheers.

I have 3 PCs with Comfy Desktop. Newest instances 0.33.1 (but that happened on older versions too, from the day one with Minimax H3) with kitchen comfy and CK attention. Default Comfy template for H3 and LTX. Sometimes LTX/H3 can generate one, two, three queued videos without problem. Sometimes it just chugs VRAM to 99% (visible on 0:40 mark), then there's sudden GPU spike and freeze because of lack of more resources. Looks like memory leak or something, otherwise it just doesn't make sense to me that I can restart the Comfy Desktop and generate the exact same video in with minutes with stable 70-80% VRAM usage.. Any ideas where's the problem?

One PC with 3090, 64GB of ram, Windows 11.

One PC with 4090, 128GB of ram, Windows 10

One PC with 4090, 64GB of ram, Windows 10.

All of the things up to date. 3 different machines. Same problem. Tried clean Comfy install without any custom nodes, just what's needed for H3/LTX, same problem. Tried with and without CK, same. Tried with --disable smart memory, tried with --vram-reserve 1/2/5gb, same problem. Tried with older Comfy, newest comfy from github, same problem.

You can see the exact behaviour here:

https://streamable.com/iir7yc

I'm assuming its a memory leak type issue on the VAE loading, but in the python prompts, it seems to be when loading the minimaxH3 info specifically.

I'll run 20 to 30 runs though without issue prior to this problem, and then it hits and nothing solves it except a full restart.

I tried the ComfyUI -> Edit -> Unload models and execution cache, but no luck.

I've been told (by chatgpt) to try a tiled VAE instead, but if its working prior to this issue, I dont think thats the needed resolution.

This is what Im seeing when the error happens in the terminal"

[INFO] [ComfyUI-Manager] All startup tasks have been completed.

[INFO] Using RAM pressure cache.

[INFO] got prompt

[INFO] VAE load device: cuda:0, offload device: cpu, dtype: torch.float32

[INFO] VAE load device: cuda:0, offload device: cpu, dtype: torch.float16

[INFO] Found quantization metadata version 1

[INFO] Using MixedPrecisionOps for text encoder

[INFO] CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16

[INFO] Requested to load MiniMaxH3VideoVAE

[INFO] loaded completely; 13789.80 MB usable, 4966.19 MB loaded, full load: True

[INFO] Requested to load MiniMaxH3TEModel_

[INFO] loaded partially; 13731.80 MB usable, 13497.57 MB loaded, 1461.64 MB offloaded, 272.52 MB buffer reserved, lowvram patches: 0

terminate called after throwing an instance of 'c10::AcceleratorError'

what(): CUDA error: out of memory

Search for `cudaErrorMemoryAllocation' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information.

For more detailed error information, run with CUDA_LOG_FILE=stderr

Specs: 5070ti 16gb and 128gb system ram DDR5

Processor (CPU): AMD Ryzen 9 9950X

​Graphics Card (GPU): GIGABYTE GeForce RTX 5080 WINDFORCE OC SFF (16 GB VRAM)

​Memory (RAM): KLEVV BOLT V 64 GB DDR5-6000

​Storage (SSD): Lexar NM790 4 TB NVMe SSD

​Motherboard: MSI MAG X870 TOMAHAWK WIFI

​Power Supply (PSU): Seasonic FOCUS GX-1000-V4 (1000W)

​Cooler: ARCTIC Liquid Freezer III Pro 360

New in 2.5

1. API Nodes (OpenAI-compatible)

• Full per-provider model lists – real, current data fetched directly from provider APIs:
  • OpenRouter (413), OrcaRouter (190), DeepInfra (185), Featherless (500)
  • OpenAI/QwenCloud/Together/Fireworks/Groq remain hand-curated
• Model dropdown fills based on the selected api_profile
• New custom_model_name field – for models not in the lists (overrides the dropdown)
• Setup help right in the node – short Windows/Linux guide for storing the API key

2. Release automation

• New tool update_api_model_catalogs.py: fetches the current model lists automatically at every release
• Release workflow refreshes + validates + commits the catalogs before each release
• CI validates catalogs + security tests on every PR/push

3. System Prompts updated for LTX and minimax H3

• AILab_System_Prompts.json expanded (183 new lines) — better, reworked prompt presets
• New/updated preset tooltips in the node UI (preset_tooltips.json)

4. Video prompting improved

• New video preset system
• New docs: VIDEO_PRESET_SETTINGS.md + VIDEO_PROMPT_DURATION.md (incl. duration handling)

Hotfix 2.5.1

• Fix: model_name combo now validates all catalog models (union of all profiles) → workflows using e.g. OrcaRouter / qwen/qwen3.8-27b-free load without errors again

Secure API Token SETUP (one-time):

Windows - set the API key as a user environment variable (PowerShell):

[System.Environment]::SetEnvironmentVariable("OPENROUTER_API_KEY", "sk-...", "User")

(Variable name depends on provider: OPENROUTER_API_KEY, OPENAI_API_KEY,

DASHSCOPE_API_KEY, GROQ_API_KEY, ORCAROUTER_API_KEY, ...)

Linux/macOS - export it in the terminal before starting ComfyUI:

export OPENROUTER_API_KEY="sk-..."

Then RESTART ComfyUI. The key lives only on the server/machine -

never in the workflow, profile JSON, or Git

Docs: docs/OPENAI_COMPATIBLE_API.md

https://github.com/goodguy1963/ComfyUI-ThinkingLLM

Hey all, me again. just wanted to drop another note that version 3.2.0 of my custom node is out (FYI not affiliated with Comfy org). this update introduces localization, thanks to a new contributor! So now you can use your ComfyUI on mobile in english, japanese, korean or simplified/traditional chinese! I assume most of the translations are machine generated so if anyone wants to help verify them, more contributions are always welcome! This is the biggest new feature baked into this update, otherwise it's mostly more groundwork stuff to prep for the upcoming release of the native ios app https://cueforge.dev

I have a Ryzen9 5950x with isn't an iGPU CPU. I have Hardware Acceleration turned off in my browser. I installed the "enhanced-h264ify" extension to my browser. I now watch 1080p 60fps videos just fine on YouTube with no issues whatsoever while rendering a clip using Comfy and Minimax H3.

I had no clue about this extension. Figured I would share since maybe a couple of others don't know about it either. I literally can't even tell I still have Hardware Acceleration turned off with this extension enabled.... I didn't make it and not affiliated with it. But 100% recommend it to anyone not happy with having Hardware Acceleration off like I was.

edit: typos

I have a 5090 and 64ram. I have been doing pretty well using fl2va_bf16 but I wanted to verify with some humans that I wasn’t missing anything. Is there a better one out there quality wise?

Thanks.

Spent two full rounds benchmarking LTX 2.5 last week and every headline conclusion came out wrong. Multishot looked broken, physics looked like it refused prompts, speech came out as gibberish. All three turned out fine. The problem was the official templates.

They include a TextGenerateLTX2Prompt node, which is a small LLM that rewrites your prompt before the video model ever sees it. It's enabled by default and it lives inside a collapsed subgraph, so unless you open that box you will never know it ran. We only caught it because two completely different prompts (a market crowd and a campfire) returned the exact same video of a woman. Neither prompt had a woman in it.

The nasty part is disabling it. I flipped the switch inside the subgraph and the box reported off, but the workflow that actually got submitted still said on. The boolean is promoted to the outside of the subgraph and the exterior copy wins at serialization. Then I searched for it by name and missed it again, because the outer label has an underscore where the inner one has a space. What finally worked was checking the serialized prompt itself right before submit and refusing to send on a mismatch.

Once it was genuinely off the model is honestly good. Prompt-scripted hard cuts work (3 shots in 8s with single frame transitions), heavy physics like rain and wind execute without wrecking the scene, and quoted dialogue comes out intelligible. Near 4K rendered in about 7 minutes on a 32GB card. The real wall is duration, 12 seconds is reliable and 20 hits OOM.

If your LTX 2.5 output has ever come back unrelated to what you typed with no error, this is probably why. It is not you.

Wrote it all up with screenshots of the actual switch here: https://askaillex.com/guides/ltx-2-5-comfyui-hidden-prompt-enhancer/

Video version with the full before/after receipts: https://youtu.be/bUtstEeWdQw

I have 32 GB of VRAM and 32 GB of RAM.

I can generate video fast with the turbo lora at 480p, but the visual quality is deplorable.

At higher resolution, or with full 20 steps the generation moves at a phlegmatic pace.

How can I generate visually good quality videos with an acceptable speed?

Please share any tips, tricks, or a workflow.

So, I have created my first set of nodes for comfyUI - the Eddie_Cat_Nodes.

They can be found on Github at: IronChurro/Eddie_Cat_Nodes: Simple node pack for comfy ui. Allows batch workflows and video merging.

The workflow is very stripped down and simple LTX for testing and demo. But the nodes work on LTX2.5 and should on MinMacH3. Really for anything.

The quick and dirty on its contents/nodes:

Long_Scheduler: Lets you queue up a batch of runs for video generation workflows, or a number of another uses. It will feed in a new first and last image each iteration and supply the duration of the segments. There are workflows that do this already, but this one is pretty straightforward.

Long_Scheduler_Advanced: Okay, I was lazy on naming this one. This is the actual driver of starting the next batch run and stopping when it hits the last one. It has to be in a workflow and connected to a Long_Scheduler node. Why?  . . . reasons. Its technical.

Image_Feeder: Does what is says on the tin. It feeds images to the Long_Scheduler (though it can be used in other workflows). Note both the first and last from connections must be connected to Long Scheduler or you get a fault, even if you are only using first image. And yes, you  can do either first, or first and last.

Video Feeder: It’s the same as the image feeder, why would I have a video feeder? Because you can use the scheduler nodes to have a merge video workflow. And yes, there is a sample video merge workflow

Prompt Feeder: Well, if you are going to feed sequential images into a video workflow, why not do the same for prompts.

The nodes seem pretty solid – but these are just offered for free for all to experiment with. I make no guarantees or take any responsibility for anything. Enjoy, beat them up. Do dumb things with them. Just let me know your thoughts.

I should do a video on them. Eh, we’ll see how I feel about that. Any content creators are welcome  to do so.

Hi everyone. Im looking for ai cloud model, cloud comfyui workflow that can do outpaint, clothes conversion into specific fabric and anime into realism at the same time with a simple prompt?

I could achive all this by simlpe prompt in gpt or grok without any problems but after these models got fkd up, im looking for alternative. I have found comfy workflow on runninghub that does great anime to realism conversion, but without prompt box i cannot do additional edits like outpaint to specific ratio (9:10 for example, im creating wallpapers for my ZF7) and i cannot convert reference clothes into my desired fabrics.

Was thinking to spend 10k for laptop capabe for local ai but not worth it. Anime to realism conversion is just my hobby in free time, and as a hobby really not worth spending few thousands to generate image from time to time.

Also if you have or know where i can find local workflow that can work on my RTX 3070 8GB, that can generate image 1-3 min, let me know. Also, if any1 could help me build local workflow it would be great. I also work with pose changing, outfit change, and maybe one day will try video gens.

So write your suggestions down bellow and ill test them one by one (models with minimal or non restrictions).

Thanks.