Vortex Next Gen Trends
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Больше📈 Аналитический обзор Telegram-канала Vortex Next Gen Trends
Канал Vortex Next Gen Trends (@vortexnextgen) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 54 808 подписчиков, занимая 2 348 место в категории Технологии и приложения и 591 место в регионе Международный.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 54 808 подписчиков.
Согласно последним данным от 04 сентября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -2 852, а за последние 24 часа — -58, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 45.71%. В первые 24 часа после публикации контент обычно набирает 48.74% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 25 053 просмотров. В течение первых суток публикация набирает 26 715 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 507.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как generator, scene, nanabanana, reference, workflow.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”
Благодаря высокой частоте обновлений (последние данные получены 05 сентября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
54 808
Подписчики
-5824 часа
-4667 дней
-2 85230 дней
Архив постов
54 808
+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
54 808
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.
54 808
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
54 808
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.
54 808
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.
54 808
+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.
54 808
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.
54 808
+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.
54 808
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.
54 808
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.
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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
54 808
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
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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.
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This is How Brands Will Create Video Ads in 2026 - ImagineArt Review
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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
54 808
+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.
54 808
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
54 808
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
54 808
You are still wasting hours fighting PDFs in 2026? Editing, converting, signing, fixing formatting, chasing tools that barely work. PDFelement does all of it in one place. Edit PDFs like Word, convert without breaking layouts, OCR scans, chat with documents using AI, sign and protect files across desktop, mobile, and web. One tool, zero friction.
This is not just a PDF editor, it is an AI-powered workflow machine. Batch convert files in seconds, summarize multiple PDFs instantly, fix grammar, translate, extract data from forms, compress files without killing quality. Legal, finance, healthcare, freelancers, students, teams, everyone moves faster with PDFelement.
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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54 808
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
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Hitem3D 1.5 is your shortcut from concept to clean production-ready 3D. Upload any image, get a stable model with solid geometry, real textures, and exports that drop straight into Blender or Unity. The new precision mode hits sharper detail than Tripo3D and Meshy, the multi-view system fixes occlusion, and portrait mode nails faces for VTubers, characters, and closeups. I even used it in my own Atom Assault game to pump out tanks, buildings, creatures, and prototypes without stopping production. It keeps you moving fast, it keeps you creating, and it delivers models you can actually use
Join now
https://www.hitem3d.ai/?utm_source=koc_kol_YTB&utm_medium=sign_up&utm_campaign=VortexNextGen
Full video
https://www.youtube.com/watch?v=g25hZO18Pks
