Vortex Next Gen Trends
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Show more📈 Analytical overview of Telegram channel Vortex Next Gen Trends
Channel Vortex Next Gen Trends (@vortexnextgen) in the English language segment is an active participant. Currently, the community unites 50 357 subscribers, ranking 2 654 in the Technologies & Applications category and 588 in the International region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 50 357 subscribers.
According to the latest data from 28 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -2 853 over the last 30 days and by -139 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 51.68%. Within the first 24 hours after publication, content typically collects 43.52% reactions from the total number of subscribers.
- Post reach: On average, each post receives 26 061 views. Within the first day, a publication typically gains 21 946 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1 000.
- Thematic interests: Content is focused on key topics such as generator, scene, nanabanana, reference, workflow.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Vortex Channel is a part of BlockChainWorld 5,000.000 MASSIVE AI & Crypto COMMUNITY 💎 ALL ABOUT CRYPTO, TOKENS, AI, TAP GAMES, MEME COINS, PLAY AND EARN, DEFI, P2E, NFT, AI TOOLS, WEB3 & BITCOIN FORECASTS!
Order promo 👉 PR@blockchainworld.ai”
Thanks to the high frequency of updates (latest data received on 29 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
50 357
Subscribers
-13924 hours
-7767 days
-2 85330 days
Posts Archive
50 357
Suno Sounds
Suno quietly, announced the beta of its SFX and Loops — creating sound effects that go beyond music. The model is still rough, which is why it’s in beta and available only to Pro and Premier users.
How to find it: on Desktop, when choosing between the Simple and Custom Create modes, there should be a dropdown under Custom that lets you select Sounds (Beta).
It’s interesting that they’re stepping into territory usually occupied by completely different startups with features like these.
50 357
+1
And a bit of rankings from Video LMArena.
Veo wipes the floor with everyone, especially in Text-to-Video.
In Image-to-Video, wan2.5 takes 3rd place, Seedance is 6th, and Kling 2.6 is 7th.
You can see that the amount of data is still pretty limited. Runway 4 is hanging out somewhere near the bottom, and for some reason mochi-1 from a year ago has snuck into the rankings.
But Veo’s hegemony will be very hard to beat.
LTX doesn’t show up in the charts at all.
https://lmarena.ai/ru/leaderboard/text-to-video
https://lmarena.ai/ru/leaderboard/image-to-video
50 357
Runway 4.5 Image to Video
A few days ago, Runway released an update. The main focus is on the Image-to-Video model. On their Twitter and website they show the best examples, but I took real generations and even found a comparison with Kling and Seedance.
I can’t say it’s some kind of revolution. The quality is not better than Kling. Length: 5–10 seconds. 720p.
50 357
Wan 2.6 Image to Video Flash
So far, it works only from the first frame.
Video length: up to 15 seconds.
You can upload your own audio / audio generation is also available.
There is a shot_type option — single shot or multiple shots within one video.
Very fast.
https://fal.ai/models/wan/v2.6/image-to-video/flash
https://wavespeed.ai/models/alibaba/wan-2.6/image-to-video-flash
50 357
Hunyuan3D has been updated to version 3.1.
You need to take a look at the mesh, but it looks really polished.
Probably the most advanced 3D generator available today.
50 357
Google is building its Atlas, but only inside Chrome, so there’s no need to install any weird crap.
The AutoBrowse feature is supposed to turn Chrome into an agentic browser.
50 357
+3
GLM-Image
We’ve got a new open-source image generator, and technically it’s quite interesting. Earlier, Zhipu released the open-source LLM GLM, which crushed benchmarks and impressed many (you can try it at https://chat.z.ai/). Rumors of an image model followed — and now it’s here.
It’s already available on FAL:
https://fal.ai/models/fal-ai/glm-image
https://fal.ai/models/fal-ai/glm-image/image-to-image
The key idea is separating “thinking” from rendering. A 9B-parameter autoregressive model interprets complex, knowledge-heavy prompts, then passes them to a 7B-parameter diffusion decoder for rendering. With a custom Glyph Encoder, it aims to render text accurately inside images. Editing and style transfer are included out of the box. They claim quality on par with top diffusion models and better performance on complex tasks.
In practice, results so far look modest. Editing features need more testing and don’t seem very strong yet.
50 357
Higgsfield “What’s Next?”
Higgsfield seem to be aiming to completely remove the traditional scripting component from content creation. That is, there will still be a “script,” but it will be written—or rather assembled—from AI-generated fragments. And not in text form, but directly as video snippets.
Higgs’s new feature, “What Happens Next,” lets you upload a SINGLE image, after which the AI suggests EIGHT video (!) variations of how the events could unfold. You choose the one you like, watch it to the end, and then once again pick one of eight possible continuations.
50 357
+1
Qwen-Image-Edit-2511-Multiple-Angles-LoRA
An interesting tool for camera angles, equipped with a full ControlNet.
On the downside, the image quality isn’t great — the idea is cool, but the execution falls short.
50 357
Higgsfield has showcased a very serious relighting tool.
From some of the demos it was clear that it works extremely well with portraits, but then I also found this one where entire scenes are being relit!
It looks genuinely impressive. The available tools include selecting light direction, lighting setups, temperature, intensity, color, and shadow control.
Of course, you won’t be able to relight a whole scene for a film in a fully professional, exactly-the-way-you-want manner, but for low-budget production and advertising it’s more than good enough.
50 357
I’ve seen several generations of 3D displays.
But what Samsung showed at CES 2026 looks pretty killer.
The thickness of the TV itself is especially impressive.
50 357
DreamID-V by ByteDance
It’s essentially like TikTok’s Face Fusion — face replacement in video.
The first diffusion transformer for high-quality face replacement in videos. It bridges the gap between image- and video-based approaches, delivering exceptional identity similarity and temporal consistency even in complex scenarios.
Demo: https://guoxu1233.github.io/DreamID-V/
Project: https://guoxu1233.github.io/DreamID-V/
Code: https://github.com/bytedance/DreamID-V
50 357
I tested YouArt, an autonomous AI video agent that turns a single chat prompt into a fully finished multi scene video. No templates, no timelines, no manual stitching. You describe the idea, the agent plans the scenes, generates visuals, handles pacing, transitions, and delivers a ready to post video in one workspace. I pushed it through emotional short films, Pixar style animation, cinematic Lego visuals, global perfume ads, and TikTok style UGC. Same flow every time, one prompt in, finished video out, with full transparency so you can inspect and tweak every step. If you are into AI video, autonomous agents, and next level workflows, this feels like Cursor for video.
https://youtu.be/hc_LcgsXSfk
https://youart.ai?utm_content=vortex
50 357
Best in class models. Final 2025 snapshot.
Coding belongs to Cursor, Anthropic with Opus and Sonnet 4.5 leading real production work.
Images are dominated by Nano Banana Pro, Seedream 4.5, and GPT-Image 1.5.
Video is a three-horse race. Google Veo 3.1 for realism, OpenAI Sora 2 for creativity, Kling 2.6 for control.
Planning and reasoning clearly goes to GPT-5.2 Thinking.
Research speed king is Google Gemini 3.0 Flash.
Real time news is owned by xAI Grok 4.1.
Big winners this year. Google, Anthropic, and Grok aggressively gained market share.
Big losers. Midjourney and Perplexity AI faded hard from mainstream relevance.
50 357
This is How Brands Will Create Video Ads in 2026 - ImagineArt Review
Join ImagineArt now https://imagineartinc.pxf.io/Z6oQJk
Discover the revolutionary power of ImagineArt 1.5 in creating realistic AI videos that defy the usual pitfalls of artificial imagery. In this video, I take you through the process of crafting stunningly real AI content using ImagineArt Workflows. Say goodbye to rubbery skin, melting eyes, and inconsistent faces. Unlike other models, ImagineArt 1.5 offers unmatched photorealism with fewer credits, making it both efficient and cost-effective. Watch as I demonstrate how to set up a workflow that simplifies the entire video creation process, ensuring consistency and quality in every frame. Whether you're creating AI movies or user-generated content ads, this system is designed to elevate your creative projects to the next level.
Watch video https://youtu.be/WQSz1-AJCM0
50 357
+5
It has to be said that Nanabanana is much smarter than GPT-Image-1.5.
I asked both of them to generate a Möbius strip, a Klein bottle, and Schwarz’s boot.
ChatGPT just tried to make something that looked pretty—like “I’ve seen something like this, but I can’t really say anything more,” especially when it came to the boot. Blue background.
Smart Banana, on the other hand, remembered non-orientable one-sided surfaces, and even labeled the boot. It made the Klein bottle out of glass, where its topology is clearly visible.
50 357
Flash Portrait
Who wants another portrait animator? With code.
The main feature: it’s kinda fast. Sped up by 6×, but not real-time. Generates talking heads of unlimited duration.
Now the bad news.
40 GB of VRAM.
And it’s basically a wrapper on top of WAN 2.1 14B.
https://github.com/Francis-Rings/FlashPortrait
50 357
Qwen-Image-Layered with code and weights is ready!
It turns any RGB image into RGBA layers.
You can manually set from 3 to 10 layers.
But! You can also create layers from layers!
Here’s the demo right away:
https://huggingface.co/spaces/Qwen/Qwen-Image-Layered
Everything else — the code, weights, and papers — is here:
https://github.com/QwenLM/Qwen-Image-Layered
P.S. It’s already available on Replicate:
https://replicate.com/qwen/qwen-image-layered
And on Fal:
https://fal.ai/models/fal-ai/qwen-image-layered
50 357
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Stop struggling with PDFs that slow you down. Download PDFelement, try it free, and turn PDFs into something you actually control. Create, edit, sign, and finish your work today.
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50 357
SINTRA is WILD!
Think of it as a set of focused AI helpers. Not one generic bot. Real specialists tuned for social, ecommerce, support, research, all powered by top models!
https://www.youtube.com/watch?v=DhIUVBTBdyo
