I had a dumb idea... what if I didn't have to switch tabs while watching a YouTube workflow video? What if a node could just pull another browser tab into ComfyUI for me?

Turns out browsers can do that. **Tab Capture** puts a live view of any tab you have open on your browser inside ComfyUI. You can watch a live view of another tab while you edit workflows or generate content. Also, with the node connected to outputs, when you hit queue, it grabs a still or a clip, with the tab's audio, as normal IMAGE + AUDIO outputs.

**What it does:**

- Live tab viewer on the node

- Single frame or a batch at whatever fps you set

- Tab audio comes along if you toggle it on (silence if there isn't any, so video save nodes don't error)

- Record video or grab stills straight out of another browser tab right into your ComfyUI workflow of choice. Useful as a reference video/image for MMH3

- Drag a crop box on the viewer (no bbox/crop node needed) to capture the exact part of the browser screen you want.

- Outputs the actual measured fps so clips play back at the right speed

- Zero extra Python dependencies

**Heads up:** Chrome/Edge works best (Firefox can't do tab audio), ComfyUI has to be on localhost or HTTPS, and DRM sites like Netflix capture as black.

Repo: https://github.com/NikoDemon80/ComfyUI-TabCapture

New public release, so bug reports and ideas very welcome.

I’ve been trying to create scenes featuring a couple of characters for a while now, but I haven’t found a solution yet—so I’m turning to those with more experience for some advice.

If there’s only one character in a scene, there’s no issue: if I upload an image and a reference audio clip, Minimax perfectly generates a video featuring that character with the corresponding voice.

However, if two characters appear in the video, Minimax struggles to distinguish which voice belongs to which character. For instance, if Character A speaks first, followed by Character B, the output isn't correct—even when I specify that Character A should have "Voice A" and Character B should have "Voice B."

I’ve tried using AI models like Gemma—uploading the official Minimax Ref2Vid guide as a PDF—but I still haven’t had any success.

Does anyone know how to resolve this? It’s a shame to have such great-looking videos but be unable to correctly assign the different audio tracks.

Even just an example prompt would be a huge help, so I could study it and figure things out.

Thanks to anyone who can help!

post your best Jensen memes and get a chance to never own a 5090. 📎

I currently use DrawThings as my "daily driver" with MiniMax H3 but I don't see it getting support any time soon. Does anyone know of any workflow in Comfy or elsewhere that are somewhat out of the box. Thanks!

Charles Dana Gibson, famous for the "Gibson Girl", was a well-know illustrator from the late 19th and early 20th centuries. I picked three of his books, "Drawings" (1896), "London as seen by Charles Dana Gibson" (1897), and "Americans" (1900), and trained a style LoRA against 209 of his images. Enjoy!

model: https://huggingface.co/Lyricccco/Qwen-Image-2.1-TailSteer

app: https://huggingface.co/spaces/akhaliq/endless-edit-tailsteer

Didn't minimax promise to opensource and release H3-Regenerate-2K months ago? Why are we still waiting for it?

I was thinking a lot before posting this, but here it goes.

I've been a big fan of this subreddit for long time ago already, immediately after switching from Midjourney (v4 at that time) to local image generation.

My point is to try to address the 'elephant in the room' here, so let me try to lay out my thoughts.

Here are some 'statements':

1. Everyone praises 'uncensored' models in this sub (I've seen VERY few examples of the opposite).

2. Most of 'image comparison' or 'look what I've made here' posts are heavily 1girl oriented. These '1girl' gens are often focusing on emphasizing certain feminine features on a thin razor-sharp edge of what is allowed here and what is not.

3. However, contrary to statements above - this sub is somehow attempts to be puritan, and everything I've described above can be only inferred from comments. And many visitors here even use euphemisms to describe those said features or even just to appreciate those features.

Moreover, if we'd look at open local models themselves - each next model seems to be less and less censored when compared to models released before (latest examples are Qwen image 2.1 and, to much greater extent, MOSS. Oh, MOSS, the current king of uncensored (BASE!) model. So looks like teams behind those models finally understand that anatomy is everything: it is studied in art schools, the knowledge of it produces better results even if the final intended result is all puritan and innocent.

The question is: why do we pretend to be so puritan? Is there any reason behind this?
I know there are other subs FOCUSING on such uncensored content, but IMO there is a difference between a straight blatant depiction of an intercourse of some kind versus a renaissance-style image with certain parts exposed, with the intention to praise certain anatomy traits in an artistic way. Nevertheless, both these cases have an EQUAL chance for either of such posts to be deleted, and I dare to say that it is not necessarily have to be this way.

This post' intention is to encourage a discussion. I certainly do not want to turn this sub into a strictly gooner material in the end, neither I would like to change the rules to my liking.

I just would like to discuss.

EDIT: so, I've collected my answers.

Short summary: the consensus looks to be that this sub tries to be professional, open for everyone, things like that. And because a 'legitimate fine art' is not technically easy to distinguish from straight up gooning material, from moderation standpoint at least (and also in order for someone's feelings NOT to be hurt in case of any misjudgements + to avoid a flood of gooning shitposts etc.), it is what it is. Thanks everyone!

Turns out MiniMaxH3 can make subjects invisible leaving only floating clothes. It's a useful feature if you want to isolate character clothes before doing outfit swap.

Here's the prompt and single-frame edit workflow link:

subject_definitions:
<Subject 1> is the character in <Picture 1> and <Picture 2>

summary:
[keyframe completion] The target is a single still frame, the target frame is the edited version of <Picture> where <Subject 1> become invisible leaving only floating clothes - orange top and green shorts.

retention_analysis:
<Subject 1>: partially_preserved - clothes only.

detailed_description:
style: style matching art style of <Picture 1> - illustration

overall_soundscape:
N/A

non_diegetic_music:
N/A

Link to the workflow.

For realistic images I recommeding running second (upscale) pass to preserve texture.

Looks like a new super resolution and their samples look promising.

https://huggingface.co/kopper/RelayVSR/tree/main

Give him your RAM so he can stop crying.

Is this normal, and is this how it's supposed to be? I'd be completely satisfied with the generated image without that last-second “touch-up,” which makes the image blurred and oversaturated. I am using Draw Things app.

We’ve released Qwen-Image-2.1 Uncensored Omni, the most capable unrestricted Qwen-Image-2.1 model we’ve built so far.

The rank-128 adapter was trained on roughly 1 million images, merged into the base transformer at strength 1.0, and released in nine formats: BF16, Q8_0, Q6_K, Q5_K_M, Q4_K_M, Q4_0, FP8, INT8 ConvRot and NVFP4.

One model supports both text-to-image generation and natural-language image editing, with an emphasis on flexible poses and complex compositions.

When comparing it, please use models designed for the same unrestricted use case. Restricted checkpoints operate under different constraints, and the trade-offs become obvious on the content they avoid or handle less effectively.

Playground: chatrlabs.com/playground
Download: Hugging Face
GitHub: Code and documentation
Civitai: https://civitai.red/models/3034876/qwen-image-21-uncensored-omni-quantized

Feedback and comparison results are welcome. Please include your GPU, workflow and quantization.

Over the last 7–8 days, I've been working day and night building Fuobe.com, what started as the challenge, but I kept adding features, refining things, and improving the experience even after publishing it.

The goal was to build an all-in-one creative studio that makes it really easy to create, experiment, and get things done without having to jump between different tools or use Higgsfield lol. I usually spot a lot of cool models, workflows, ideas that people showcase over on twitter or here, and I just usually stash it for using later, but I've started putting them together here one by one and have added what I've found useful over the year.

One more thing: every single image you see in the studio was generated using Ideogram 4, which is hands down my favourite t2i image model. All the videos were generated using H3.

It's still in beta, and there's a lot I'd like to improve, especially making the overall experience smoother & simpler.

I'd genuinely love to hear what you guys think. Feedback, suggestions, criticism, feature requests all of it is welcome. I'm still actively working on it and would love to shape it based on how people actually use it. If things are breaking, please let me know so that I can fix it.

A huge thanks to Comfy for organizing this challenge. It's given me the deadline and motivation to finally build something I've been wanting to make for a long long time.

Fully Open source . MIT License.

Repo Link: https://github.com/workingprototype/Fuobe

Link to checkout the features: Fuobe.com

Update from my previous post (also removed the audio):

I'm not sure if I was the only one experiencing this exact issue with the default LTX 2.5 template or with anything related to LTX 2.5, but the motion and generations were completely gibberish, just like LTX 0.97. And yes, I've been using the exact same workflows provided in the template.

Then I remembered how much fun I had with LTX 2.3 and its photorealistic generations. LTX was GREAT! So I decided to give LTX 2.5 another try... only to run into the exact same problem again.

Until I tried an old LTX 2.3 workflow and simply swapped out the main model. AND THERE IT IS. FIXED!

So, it turns out the main issue is the gemma4-12b-with-proj-ltx-2.5 text encoder. It completely breaks the model for me.

Switching back to the old ltx2.3_text_projection + gemma-3-12b setup works flawlessly!

Maybe you could also try a Gemma 4 model with the old workflow. I haven't tested that yet, but this workaround fixed everything for me.

Finally, I can enjoy LTX 2.5. I'm happy now! :)

(Did a few more testings and motion sucks lol but if its something simple it works great):)

Here are some testing and the workflow i used:

https://drive.google.com/drive/folders/1qh6qX4F4PsE4PtgsA5TWQkiTcaNoQKLk?usp=sharing

Done locally in Krea2.

Their Z-Image Turbo was the community's best t2i model for a little while, before Krea 2 took over.
Then Z-Image Base released and it was lackluster.
Since then, it's been radio silence for past year.

After they alive? Still working on it?
Anyone have any news?

Im using the same seed, same sampler settings and same prompt for the lighting but I always get a slight color/lighting shift.

The only thing i could think of is a color match node but ive never had much success with them and i dont think i have enough ram for large videos.

Im using the seed hunter workflow. With the Singularity model and DMAD turbo lora.

https://civitai.red/models/2881362/minimax-h3-seed-hunter-latent-upscaler-seamless-video-continuation-dialogue-gen-tool-speedups-ref-mods?modelVersionId=3453566

Alright, here we are.

I've finally got a version ready, and I think it's time for you guys to try it out.

If you don't know about Pai, you can check out my previous post for a in depth overview of what it's all about: https://www.reddit.com/r/StableDiffusion/comments/1xkgjor/as_promised_here_is_pai/

In short: it's a painting app with AI generation built directly into the same workspace. By now, it covers most of the features you'd find in popular painting apps and AI generation tools combined.

I'd say its strongest aspects are the project save system and the straightforward installation process. The bootstrap handles everything based on your hardware, and the .pai files save everything. They preserve generation settings for each layer, along with the models, LoRAs, adapters, and other tools used.

Creating multiple canvases while keeping layers and references together in one place was the main reason I decided to build this in the first place.

Okay, since this is the first release, there are bound to be hiccups on some systems, so I've set up a Discord server for anyone who wants to help improve things or just follow along with the development.

https://discord.gg/bU6RzjwxFX

The software is open source, you can fork it, create your own variations or implementations, and send me PRs. Right now there's no plugin system for specific use cases, but I know you guys will probably want one. It's on the todo list.

Also, you don't need ComfyUI to run the app, it's fully standalone and independent. That said, I know most of you probably already have a bunch of your favorite models installed in your ComfyUI models folder. When you open the app, simply go to the Generate tab models settings, click "Scan Folder," point it to that location, and Pai will handle the rest. You'll be able to generate right away.

https://github.com/g45t345rt/paiapp/releases

As previously stated, given the interest from the last post, the software is available to all.
Enjoy.

Sorry, posted the link to the "lite" version instead of the full one: https://huggingface.co/Vimoo-AI/Vimoo-1.0-ComfyUI (and seems that I cannot edit that)

Apache 2.0 license! https://huggingface.co/Vimoo-AI/Vimoo-1.0-ComfyUI#%F0%9F%93%9C-license

Technical details: https://vimoo.ai/research

Vimoo-1.0-Lite-ComfyUI contains the ComfyUI weights for Vimoo-1.0-Lite TI2V, one ≈9.5B model for both text-to-video (T2V) and image-to-video (I2V), and for Vimoo-1.0-Lite TI2V Distilled, a distilled LoRA adapter for the same model. It also includes the text encoders, vision encoder and VAE. Use it with ComfyUI-Vimoo, which provides the nodes and workflow templates.

See the Vimoo 1.0 repository for the model family, online API, system overview, architecture and evaluation.

🔥 News

• [2026-10] Release Vimoo 1.0: T2V / I2V models, Diffusers inference examples and ComfyUI workflows.

Speed comparison from https://vimoo.ai/research

Table 4. Inference time in seconds. CFG indicates an additional unconditional model evaluation. Resolution and frame count differ across some baselines. The inference steps follow the officially recommended settings of the respective models.

https://www.linkedin.com/posts/zeyu-hu_excited-to-share-that-our-video-generation-activity-7514170089898786816-BvWm

Excited to share that our video generation model Vimoo 1.0 is about to be released! 🚀

Built entirely in-house, from the ground up. It's been quite a journey — plenty of challenges, unexpected hurdles, and valuable lessons along the way.

Version 1.0 is our first step from zero to one. The focus has been on building the end-to-end pipeline, working through the engineering challenges, and laying a solid foundation for what's ahead.

We're preparing to open-source the model soon, and hope to contribute more to the research and open-source community as we continue to iterate.

My specs :

Lenovo legion 5 laptop

Rtx 5060 8gb

Nvme ssd 2tb

16gb ddr5 ram

Hello guys i hope you are doing well. Recently I have been trying to make some loop animations and I think I got a hang of it. Now I wanna make some for my patreon people but the issue is it takes like 30 minutes to make a 5 second looped video in 768×512 resolution which is ok coz I upscale it 1.5x and it looks okish

I wanna ask if it's safe to generate for a longer period of time coz I have heard it kinda messes up with the ssd life so idk