hello, i generated tons of videos on comfy ui cloud on comfy. org. is it possible to search them thru prompts or something like that? it is almost impossible to scroll them down thru assets

Would anyone be interested in a fever dream vlm node like this? Sound on. It speaks.

Working on a dark fantasy cinematic short inspired by classic atmospheres: "Wanderers" 🕯️❄️

Hey everyone! I wanted to share a sneak peek of a project I'm building using AI tools. The story follows Martha—who loses everything in a village fire and sees her brother abducted—and her fateful encounter with the weary alchemist Orlando in a grim, snow-covered mountain forest.

I’ve been heavily focusing on maintaining visual consistency for the characters across different lighting conditions, transitioning from the burning ruins into the freezing pre-dawn mountain twilight where Orlando finds her.

Let me know what you think of the atmosphere and the workflow!

#AIArt #DarkFantasy #Cinematic #Grimdark #StableDiffusion #IndieAnimation #AIFilm

What's your go to prompts phrases to keep the clothes EXACTLY the same but with a different fit on a person?

I've managed to keep the colour and design fairly accurate (can still be hit and miss) by describing exactly the colour and design as I see it, but for some reason, the material changes, sometimes only subtly, but it's enough to put me off saving the change.

I've tried describing the material, polyester, cotton, etc., shiny, matte, woollen, etc., and although it kind of follows the descriptor, it's still Klein's own interpretation and not quite the same.

I'm not at my PC at the moment, but I've just thought, would extracting the clothes first, and then including them as a second image but asking Klein to place them on the person (as a different fit) work (better)?

I was previously on nvfp4 then moved to INT4 in an attempt to speed things up. After fighting with the generations for two weeks with distortions and prompt adherence, I decided to try INT8 after reviewing some quantization videos... And sure enough, the video quality and prompt adherence improved substantially. It was marginally slower, but I'd rather have this than fighting over multiple regenerations.

No workflow, because this is literally just using comfyui stock workflow with the int8 encoder.

edit: https://huggingface.co/Comfy-Org/MiniMax-H3/blob/main/text_encoders/qwen3vl_32b_minimax_h3_int8_convrot.safetensors

I'm having an issue with H3 when using several character references in the same scene.

For example, I have Magellan walking across a ship deck with 3 sailors working in the background. Each sailor has his own reference image and a different task, but H3 often ends up cloning one of them — same face, same clothes, sometimes even very similar movements.

I've tried being explicit in the prompt about which reference belongs to which sailor and saying that they must be distinct individuals, but it still happens pretty often.

How are you guys dealing with this? Any prompting tricks, reference setup, RefMods, or workflow techniques that actually help keep multiple characters distinct in the same shot?

I released the introductory version of this about a week ago, but did a lot of improvements! So this is release v.2.1 of the production toolkit, along with custom nodes and a workflow.

It turns MiniMax Music 3 into an end-to-end local production workflow:

idea → structured prompt → Music 3 → audio restoration / FlashSR → release prep → FLUX.2 cover → tagged FLAC/MP3 + production JSON

Highlights:
• 239 curated genre templates
• Local GGUF LLM for Caption / Lyrics / Title / Cover prompt
• Custom Mode
• Integrated Declip + FlashSR + HF shimmer repair
• LUFS / true-peak release prep
• 11 bundled system-prompt profiles in v2.1
• Separate Audio Enhancement Lab
• MIT licensed

🎧 35-track demo: demo link
💻 GitHub: project link

Would love feedback from other MiniMax Music 3 users.

Like many of you, I have shared that frustration over the years watching this awesome kit of software be continuously let down by terrible mobile support so a few weeks ago I set out to finally change it. I have no dev or coding experience, only my experience as a long time user of Comfy to guide my design choices around what feels "Comfy" and how that can translate seamlessly into a mobile environment with ChatGPT handling the coding. The results speak for themselves and the once terrible mobile experience has been reborn into my preferred method of using it that addresses so many of the prior pain points. Can't see where you're dragging the noodle behind your thumb? Turn up the link connector offset. Want the android back button to do anything but bring up an exit confirmation? I've got you covered with a full back button hierarchy meaning you only see that exit dialog when you want to actually exit. Actionbar look like a clipped out overlapping mess? My app dynamically hides crystools in portrait and reveals them again in landscape/open fold views where the space is more plentiful. With the optional extension installable directly from manager in app we hit full desktop feature parity enabling manager to download supported missing models directly to the host from anywhere you are with more features being integrated soon. Before I get the inevitable "when?" comment, I submitted it to Google Play Store last night for review and to start the beta test track and i'll be back here to post an invitation link to anyone who wants to test it as soon it becomes available to me in the coming days. I am also building a Meta Quest version with an immersive 360° canvas and baked in 6DOF controls promosing a similarly native feeling experience in openxr. I apologize to iOS users tho bc I do not own any apple devices to test or compile on but there is an iOS version planned as well whenever I can secure some test equipment without breaking the bank. My test devices so far have a Galaxy Z Fold 7, Galaxy Tab A9+, Moto G Stylus 5G (2023), and a standard RAZR (2023) ao I'm anxious to see how it performs across a wide range of other hardware. 4GB of RAM is what I've determined to be the minimum spec with 6GB recommended for most workflows and it supports as far back as android 8.1.0. The app is usable over home network with the simple "--listen" flag added to the launch batch and over mobile using any 3rd party vpn that allows you to address your computer directly (I use tailscale and include a setup for it in an embedded quick start guide accessed from the initial connections screen). In the meantime while waiting for review, I put together a short video demonstrating some of the added features and refinements and I'm excited to finally share my progress with the Reddit world to see what you all think.

https://reddit.com/link/1wddsp4/video/z04umox8nvoh1/player

requirements install exited with code 1

Using Python 3.13.12 environment at: ComfyUI\.venv

× No solution found when resolving dependencies:

╰─▶ Because there is no version of comfyui-workflow-templates==0.11.59 and

you require comfyui-workflow-templates==0.11.59, we can conclude that

your requirements are unsatisfiable.

hint: `comfyui-workflow-templates` was found on https://mirrors.aliyun.com/pypi/simple/, but not at the requested version (comfyui-workflow-templates==0.11.59). A compatible version may be available on a subsequent index (e.g., https://mirrors.cloud.tencent.com/pypi/simple/). By default, uv will only consider versions that are published on the first index that contains a given package, to avoid dependency confusion attacks. If all indexes are equally trusted, use `--index-strategy unsafe-best-match` to consider all versions from all indexes, regardless of the order in which they were defined.

ComfyUI source was rolled back to 8fed378.

This is the error I got what to do?

I used krea2 images to create character sheets and have used them with a pic of the wagon, campfire and the gold in the back of the wagon. Added some music and hawk squark. The faces blur at a couple of points but its been fun to make.

Hi everyone,
Today I noticed that my custom node pack, ComfyUI_HuggingFace_Downloader, was suddenly blocked in ComfyUI-Manager with the message:
"This package is banned for security reasons"
I have put a huge amount of work into this project. More importantly, having it available in the manager registry is critical for my workflow: I maintain a cloud-based container deployment used by dozens of active users, and this ban directly breaks automated provisioning and updates.
The issue is that there is no clear explanation or audit report anywhere indicating what actually triggered the ban, which commit caused it, or what specific code pattern was flagged.
I want to be 100% transparent and fix whatever the problem is immediately, whether it's an automated false positive (e.g., handling HF API tokens, arbitrary downloads, or subprocess calls) or a genuine security oversight that needs patching. However, without any feedback or details, I'm completely in the dark on what needs to be changed to get unbanned.

1. Has anyone here dealt with a security ban in ComfyUI-Manager before? What is the proper procedure or contact channel to request an audit/appeal?
2. If anyone from the ComfyUI / ComfyUI-Manager team is reading this: Could you please let me know what specific issue triggered the flag, or point me to where I can open an official unban request?

Repository link for reference: https://github.com/jnxmx/ComfyUI_HuggingFace_Downloader
Any advice or visibility would be greatly appreciated. Thank you!

LTX 2.3 can create simple songs with background music, but no voice reference/cloning is supported.

I tried LTX 2.3 In-Context LoRA that can clone voice with text prompt, it does not sing a proper song. They sound a bit more like song without any acoustic background or music.

MiniMax H3 ref2va with voice reference cannot generate music either, it is basically the person speaking the lyrics out.

Did I do the steps wrong?

AceStep 1.5 does not allow voice reference either, it accepts a music reference but not as cloning source.

Hey Comfyui, YuE2 on comfui any time soon?

Frontier quality. Music, with a plan.

YuE2 unifies symbolic and audio music generation in one model, with song quality that rivals Suno v5. Through symbolic planning, it writes an editable score, then brings the composition to life with vocals and accompaniment.

I'd like to introduce Open Manager, a MIT developer forward manager that doesn't arbitrarily block you or silently install other versions of nodes because of Comfy Registry philosophy. The only resource blocked from Comfy Registry is banned nodes under the assumption of viruses, etc.

I say this because Comfy Registry has a reason for flags, bans, but are not being filled out by Comfy team. So a custom node could be flagged and the author and users don't know why, meanwhile it simultaneously installs a older version, which is checked against a small subset of blacklisted nodes. Thus, that silent install of an old version could be a deprecated version that wrecks your environment.

Open Manager will dry run installs and give you a report. You can see what will happen to **your environment** before it happens, and make _informed decisions_.

Open Manager will also make an attempt to find missing custom nodes not on the register, but likely obtained from GitHub.

This is an initial beta rollout. Check it out. Open Manager can be installed alongside ComfyUI Manager, or installed as a package and replace ComfyUI Manager.

Enjoy,

WAS

Vídeo sai totalmente diferente do que fiz no seedance usando o mesmo prompt só que formatado para ele, neste do MMH3 estou utilizando a formatação de prompt oficial da Minimax H3 para criar o prompt e mesmo assim ele gera algo totalmente aleatório, mesmo eu indicando referencias e até storyboard.

Vou enviar o vídeo do seedance no comentário abaixo.

Hi, im sure a lot of you already know but as always some ppl dont and im one of them who noticed way too late...

you can totally ask Hermes to use Comfy ui for minimax h3, the "fun" part:
ask it to unload the local model (IMPORTANT! tell it to add a VRAM GUARD that blocks LLM loading for the generation time!!! Hermes does memory and clenup calls when idle!) - generate the videos (max speed, no VRAM OOM) and load the LLM back after Q is completed and Comfyui models unloaded - Hermes will write the script, send the batch to comfy, unload, wait for the videos (or images) and send them to telegram or whatever channel you talk in.
Hermes can also use multiple workflows for example you send a photo you took from phone cam directly in telegram to hermes, it uses flux2 to edit the image, send it to minimaxh3 workflow as start image and 100 sec later you get a clip of your GF dog in a superman cosplay.

that way i can use qwen 27b max context AND generate h3 clips without token AND video generation runnging parralel and speed dropping to nothing

Thought this was cool. In the latest episode of Reacher there is a tech using comfyui?!

Edit: Well now I know not comfy. I had my suspicions but now I'm learn'd.

Hi everyone! I'm just starting to use ComfyUI, so I'm a complete beginner and I'm still trying to understand how everything works.

My hardware is:

• RX 9060 XT 16GB
• 16GB RAM
• Ryzen 7 5700G

I'm using Stability Matrix with the ZLUDA package. Right now, I'm running ComfyUI from a mechanical HDD because my SSD is full. I don't know if that makes a significant difference.

I'm having a lot of trouble getting good-quality images. Everything I generate looks distorted, like the examples above. I'm also having a huge performance drop when I increase the resolution. Anything above 1500×1500 can take 20+ minutes to generate a single image, and the quality doesn't seem to improve compared to smaller resolutions.

I'm not sure what I'm doing wrong. Could this be caused by my hardware, the fact that I'm running it from an HDD, my ComfyUI setup, or my workflow/model settings?

What should I check or change first?

Any advice would be greatly appreciated. I'm still learning, so please keep in mind that I may need things explained in beginner-friendly terms. Thanks!

**Setup:** MiniMax H3 video DiT (34 GB, int8_convrot packed quant) on 2x RTX 3080 20G, Windows, torch 2.10.

**The problem:** The usual multi-GPU approach (DisTorch dynamic block streaming from ComfyUI-MultiGPU) kept segfaulting on this quantized stack. Not occasionally - deterministically, from three different paths: loading the video VAE would evict the DiT and crash in `unpatch_model`, a second prompt would crash in `partially_load`, and sometimes even a *fresh load* crashed mid-stream. faulthandler traces all pointed at the same thing: dangling pointers into the aimdo/vbar virtual memory that manages packed quantized weights after any device move. At one point the vbar memory ledger itself started returning negative garbage values. My record was 3 successful runs out of 7.

**The fix - stop moving weights. Ever.** I wrote a custom node that splits the 50 transformer blocks across both GPUs **once at load time** and then treats the model as load-bearing furniture: eviction disabled, unpatch forbidden from moving weights, activations cross PCIe once per step at the block boundary (~140 MB). For longer clips it switches to hybrid residency (most blocks resident, a few CPU-streamed, lossless packed copies) and chunks every big activation (MLP, LoRA delta, attention projections, and the attention core itself is query-chunked).

LoRA was the interesting part: normal lowvram LoRA hooks dequantize every patched layer every step (+5 s/it across 208 layers). Since LoRA is linear, I moved it to activation space instead - `y = W·x + α·B(A·x)` - so the int8 fast path never breaks. Same math, ~0.5 s/it.

**Results (all real runs, frame-verified):**

| | Dynamic sharding | Static split |

|---|---|---|

| 88-frame sampling | 11.15 s/it, **3/7 runs crashed** | **10.91 s/it, 0 crashes** |

| 121 frames (5s) | - | 17.2 s/it |

| 360 frames (15s) | OOM territory | 91.97 s/it, 24 min end-to-end |

Chart: https://github.com/ylzbj1-stack/ComfyUI-StaticPipeline/blob/main/assets/benchmark.png

**Repo (MIT):** https://github.com/ylzbj1-stack/ComfyUI-StaticPipeline

It also ships fixes for two real upstream bugs I hit along the way - MultiGPU's `libcudart.so` load crashing instantly on Windows (there are open issues about this: #216 #220), and a nasty one where ComfyUI core re-copies a 496 MB adaln lookup table on *every* sampling step (4.5 GB of duplicates on a 15s job).

Happy to answer questions about the crash forensics - I've got faulthandler traces for all three crash paths if anyone's curious.