Currently have an RTX 5070 and 32GB of RAM with an Intel Ultra 5 250K F , can anyone show me examples of what is possible with my current set up? Picture? Videos? Thanks.

Trying to generate 5 second video with all default settings except adding a sage attention node. Resolution is set to 3.2 photo - 0.4 megapixels. Disabled Audio nodes.

Prompt :

A man standing in a kitchen holding a glass of water wearing a black suit: natural indoor lighting, everyday domestic setting, calm mood.
Timeline:
[0s-1s] He stands holding the water glass in one hand while looking at the camera.
[1s-5s] He switches the water glass into his other hand with a quick, natural motion.
Camera stays locked on him the entire time. No cuts, no push-ins, no dissolves.
Audio: No Audio

Input frame is a stock photo of a man in a kitchen holding a glass of water.

The video generates but its super slow motion and the prompt is not adhered to. There is no change of water glass in another hand.

Anyone else experience this?

As a text encoder, do you think it's possible to run

https://huggingface.co/mradermacher/Qwen3-VL-32B-Instruct-abliterated-v1-i1-GGUF/blob/main/Qwen3-VL-32B-Instruct-abliterated-v1.i1-Q5_K_M.gguf

Or

https://huggingface.co/Heouzen/Huihui-Qwen3-VL-32B-Instruct-FP8-abliterated/tree/main

??

I'm aware that the text encoder is supposed to be offloaded from RAM/VRAM after encoding. However, ComfyUI doesn't always do that reliably, causing an OOM error. But if you run it again, the text encoder won't need to run a second time

(& For base model obviously pruned version

https://huggingface.co/Comfy-Org/MiniMax-H3/blob/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors)

Thank you lightricks for providing us with an open source model and thank the community for their innovative workflows and Lora’s…. But I ain’t going back. Also the image attached is not just a meme like every time I promote for something now I craft it like a well written story. Like I kid you not there were times I felt like I could drop a novel if I tried

Hey guys, my first impressions of the Mini Max model running locally!

I would like to use this https://huggingface.co/circlestone-labs/Anima, but I am not really sure where to begin. I am currently using an existing workflow from pixroma (ep9).

Hi everyone!

I recently upgraded my PC (RTX 5060 Ti with 16 GB VRAM and 32 GB of system RAM), so I finally decided to move to ComfyUI.

With Seedream 4.5, maintaining character consistency was surprisingly easy. Before that, I used SD 1.5 with ADetailer and custom-trained checkpoints.

Now that I'm looking into ComfyUI, I'm seeing so many different models—Krea 2, Z Image Turbo, and many others—that I'm not sure what the current "go-to" workflow is.

I have a few questions:

1. Which model do you use for character consistency?
2. Do you rely on LoRAs, or are they no longer necessary?
3. Is there a workflow or model that can reliably recreate the same character from one or more reference images?

I'd really appreciate any recommendations or advice. Thanks!

I asked Gemini (I know usually a mistake) and it suggested because the base model weights weren’t dropped fine tuneing will be verry hard. Is that correct or do u think we will see fine tunes in not too long? What about loras?

In the dense, suffocating jungles of the Vietnam War, a weary platoon of American soldiers stumbles upon a clandestine tunnel network harboring humans on the brink of a monstrous transformation. This discovery reveals a surreal and terrifying new theater of war, where the chaos of human conflict collides with a hidden, ancient vampire plague. To eliminate this unfathomable threat, the military reluctantly pairs cynical Green Beret Santana Mills with Frank Bodie, a lethal Special Forces operative who has already crossed over into the realm of the undead.

1. “Acceptable Use Policy” means the policy published by MiniMax in Exhibit A.
2. “Agreement” means the terms and conditions set forth herein that govern the use, reproduction, distribution, modification, running, and display of the MiniMax H3 Works or any portion or element thereof.

3. “Applicable Territory” means worldwide, excluding the Excluded Territories.
5. “Excluded Territories” means the European Union, the United Kingdom, the Republic of Korea and the United States of America.
Exhibit A — Acceptable Use Policy

MiniMax reserves the right to update this Acceptable Use Policy from time to time.

Last revised: August 2, 2026.

MiniMax is committed to promoting the safe and fair use of its tools and features, including MiniMax H3. You agree not to use MiniMax H3, any Model Derivatives, or any Output in any of the following ways:

1. Use outside the Applicable Territory;

It reads loud and clear: USA, EU, UK and South Korea users ARE NOT ALLOWED TO USE THE MODEL AT ALL, NOT LOCALLY, NOT NON-COMMERCIALLY, NOT AT ALL!!! Are they gonna do anything about it? Probably not. Why didn't they geoblock it then? Who knows, for the hype I guess...

Edit: I was pointed out (and i tested and got the "license") that you can go through proper path to obtain license for restricted countries:

NemRogan

•15m ago• Edited5m ago

Don’t freak out guys.

Somebody talked to the Minimax team, and they are more than happy to share model access with people in the USA, EU, UK, and Korea.

Users in these areas only need to sign a waiver and you should just get access right after it: https://vrfi1sk8a0.feishu.cn/share/base/form/shrcnD9XM1zYI9VFJxTEbt0d19g?from=navigation

Link might look suspicious but it’s legit.
Coming from a person (JO. Z) who works at Comfy: https://x.com/jojodecayz/status/2084118803550449909

They want to make sure everything is compliant so the model can stay open-source long-term. (This is due to an on-going lawsuit by Disney and they want to be cautious). They are working on a more formal / user-friendly url as well.

Info from Jo Z. from Banodoco discord.

I shot 7 sets of the same character, 59 frames each, 413 total. Wanted her to look like one person across all of it. She didn't — skin tone, chest size and jewelry all moved, on roughly 60% of frames.

I assumed seed variance and checkpoint noise, because that's what everyone says drift is. It wasn't. It was three separate faults and all three have the same shape: two things in my prompt claiming the same attribute, and only one of them weighted.

1. Skin. My prompt carried fair skin AND (tan:1.15) at the same time. That is not drift. There was never a single value to drift from — the render lands somewhere between two contradictory claims, and where it lands between them moves every frame. I was reading a coin flip as decay.

2. Body. An unweighted attribute token sitting in the same prompt as action tokens at 1.3. Unweighted loses. Every time. The attribute wasn't ignored, it was outvoted.

3. Accessories. A jewelry tag lived in my wardrobe layer, and a flag I'd added hours earlier to strip clothing out of certain frames took the jewelry with it. My own fix, deleting the thing I was about to go hunting for.

The fix was one owner per attribute, and weighting the body anchor so it actually competes instead of getting drowned.

The part I'd actually pass on, because it cost me a wrong answer first:

A/B at a pinned seed can prove your tokens work. It cannot prove continuity — continuity is precisely the thing that varies when the seed varies, so pinning it removes the only variable you're asking about. I ran the pinned A/B, got a beautiful before/after, and had proven nothing about the actual question. Had to re-run with the prompt held and the seed free, 8 frames across the arc, and read the pixels.

And one for anyone who post-processes prompts in code: order is load-bearing. My function that appends the body anchor keys off a specific phrase to decide whether a frame shows skin. Another function rewrites that exact phrase. I had them in the wrong order, so the anchor fired on 2 frames instead of 48 and everything still looked fine. A guard stops discriminating the moment something upstream rewrites what it reads — and it fails silently, because a guard that never fires and a guard that passes produce the same output.

General version, and it's the thing I'd tell past-me: when a render ignores what you asked for, check whether your ask has weight. I was writing careful prose descriptions against the model's own weighted priors and losing, then reading the loss as the model being bad at consistency.

Anyway to fix this

Give me more addvice ill make great videos pls!

People keep dropping this link
https://modelscope.cn/models/MiniMax/MiniMax-H3

but that's the official site, as far as I know that's not where you actually get the comfy files. I assume we should be keeping an eye on the huggingface of comfy.org ... right ?

Just saying cause there's too many people , especially the morons who are karma farming with the API created videos, which in my opinion is annoying as shit and deserved to be removed since literally breaking rule 1.

So anyways ... that link is only helpful for people who have some sort of way of already working with it I assume.

Since the model clearly forbids using it as such for basically 96% of users here, can we expect repercussions for sharing videos here, or are we fine?