kelsend (empsey)

reacted to Benedictat's post with 🚀 2 months ago

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3583

Built a WeChat Mini Program in 20 minutes flat with Hy3 Preview + WorkBuddy…

and I didn’t type a single line of code. Not even a semicolon.

This Coding Agent is on steroids. Its comprehension in long back-and-forths is night and day better, and that 256K context window swallows the entire project structure whole.

Tell it what you want, and it actually gets the full picture no confused blank stares from the AI.

And we’re not messing around with dinky little code snippets here. It spits out a fully functional project

app.json, every page’s wxml/wxss/js/json, even Mock data pre-packed. Import it into WeChat Dev Tools and it runs on the first try

Only one tiny visual nitpick, zero logic bugs. Point out the flaw, and it fixes it instantly no new bugs, no passive-aggressive code breaks, no headaches

The entire vibe Tell it your idea → Get a complete working project → Mention a tiny flaw → AI polishes it.

No coding, no endless edits, no soul-crushing debugging that makes you want to throw your laptop. Absolute game-changer

posted an update 2 months ago

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3554

The rebuilt Hunyuan HY3 Preview is here!

I tested it on all the tricky scenarios where most LLMs usually face-plant—and guess what? It didn’t flop.

295B total params, 21B active params, 256K context window. Built on MoE architecture, it delivers trillion-parameter-level performance with a much smaller footprint. Long-context capabilities get a massive upgrade.

Agent abilities stand out this time: tool calling, workflow orchestration, and autonomous planning are far more stable in real business scenarios. AI PPT generation in Tencent Docs is also significantly smoother and more reliable.

Real-world tests on WorkBuddy show first-token latency down 54%, success rate over 99.99%, and an Agent workflow that ran continuously for 495 steps.

Its Coding Agent achieved top-tier results on both SWE-Bench Verified and Terminal-Bench 2.0

Now open-sourced on GitHub, HuggingFace, and ModelScope. Available on TokenHub at just 1.2 RMB per million tokens.

reacted to wangbuer999's post with 🔥 2 months ago

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3568

Testing AI controlling AI with Hy3 Preview I barely lifted a finger the whole time.

One-click deployment of Hermes on WorkBuddy took some time with a few rounds of adjustments, and I finally got it up and running smoothly

Only minor issue was setting up Supermemory it was a bit slow on the uptake. I had to go over simple steps several times, guiding it patiently like teaching a kid.

The experience of AI orchestrating AI is absolutely incredible. started running Agents with Hunyuan right after its release, and it actually works perfectly.

295B parameters, 21B active parameters, with direct access to TokenHub now great cost-performance ratio too

Honestly, I used to get stuck on all kinds of environment configurations when deploying Agents locally. Using Hy3 to take command made the whole process way more streamlined.

reacted to wangbuer999's post with 🔥❤️🚀 2 months ago

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2413

Hands-on testing of HY-World 2.0 shows a significant improvement in end-to-end engineering maturity compared to version 1.5

The model supports direct multimodal input from text, single-frame images, and video. Inference can be launched without camera intrinsic/extrinsic calibration or additional preprocessing

After panorama generation, the built-in Spatial Agent automatically performs semantic navigation path planning. Combined with spatial consistency constraints from HY-WorldStereo, it ensures artifact-free multi-view generation and stable geometric alignment

Outputs include standard 3D asset formats such as Mesh, 3DGS, and point clouds, which can be directly imported into Unity/UE

It is suitable for engineering scenarios including game level prototyping, digital twins, and embodied simulation

reacted to their post with 🔥👍 2 months ago

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2643

Tencent Open-Sources Hunyuan 3D World Model 2.0 Generate Editable 3D Game Worlds with One Sentence, Compatible with Unity/UE

Tencent has officially released and open-sourced Hunyuan 3D World Model 2.0 (HY-World 2.0), enabling AI to evolve from video generation to creating playable, editable 3D world

Core Highlights

Text / Image / Video → Directly generate exportable 3D assets (Mesh / 3DGS / Point Cloud)

Seamlessly integrates with Unity / Unreal Engine for game maps and level prototyping

One-click reconstruction of digital twin scenes from single images/videos, no camera parameters required

Spatial Agent for intelligent navigation trajectories no wall penetration, consistent spatial height
All-new HY-Pano-2.0 + WorldMirror 2.0 architecture, achieving SOTA in 3D reconstruction and novel view synthesis

Key Breakthrough
Unlike Genie 3 and Hunyuan 1.5, which only output videos, HY-World 2.0 generates re-editable 3D worlds that support collision, interaction, and engine import

Application Scenarios
Game Development, Indoor Preview, Urban Planning, Digitalization of Cultural Heritage, Embodied AI Simulation

reacted to imnotkitty's post with 👍🚀🔥 2 months ago

Post

2619

Just tried tencent/HY-World-2.0 — a multimodal world model that takes in text or a single image and generates editable 3D scenes.

Unlike Google's Genie and HY-World 1.5, v2.0 generates engine-ready 3D content:
🎮 Direct import into Unreal Engine and Unity — no format wrangling
🧊 Supports multiple 3D asset formats: Mesh, 3DGS, point cloud, etc.
✏️ Fully editable — not a baked video, but actual geometry you can modify
🤖 Also usable for embodied simulation environments

Basically: from "AI generates a world you can look at" → "AI generates a world you can ship."

reacted to Benedictat's post with 🚀 2 months ago

Post

2752

Hunyuan HY-World 2.0 Open-Sourced | Unified SOTA for 3D Generation / Reconstruction / Simulation

HY-World 2.0 is a unified 3D world model supporting multimodal inputs including text and images.

Its end-to-end framework simultaneously performs 3D understanding, scene generation, and geometric reconstruction.

Based on HY-Pano-2.0, the model enables panorama generation without camera parameters

It ensures geometric consistency via spatial agents and trajectory planning, and achieves joint 3DGS & Mesh representation with WorldMirror 2.0, reaching SOTA performance in novel view synthesis and 3D reconstruction

Unlike Genie 3 and HY-World 1.5, which only output videos, HY-World 2.0 directly generates editable 3D assets, better meeting real-world research and simulation demands

1 reply

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posted an update 2 months ago

Post

2643

Tencent Open-Sources Hunyuan 3D World Model 2.0 Generate Editable 3D Game Worlds with One Sentence, Compatible with Unity/UE

Tencent has officially released and open-sourced Hunyuan 3D World Model 2.0 (HY-World 2.0), enabling AI to evolve from video generation to creating playable, editable 3D world

Core Highlights

Text / Image / Video → Directly generate exportable 3D assets (Mesh / 3DGS / Point Cloud)

Seamlessly integrates with Unity / Unreal Engine for game maps and level prototyping

One-click reconstruction of digital twin scenes from single images/videos, no camera parameters required

Spatial Agent for intelligent navigation trajectories no wall penetration, consistent spatial height
All-new HY-Pano-2.0 + WorldMirror 2.0 architecture, achieving SOTA in 3D reconstruction and novel view synthesis

Key Breakthrough
Unlike Genie 3 and Hunyuan 1.5, which only output videos, HY-World 2.0 generates re-editable 3D worlds that support collision, interaction, and engine import

Application Scenarios
Game Development, Indoor Preview, Urban Planning, Digitalization of Cultural Heritage, Embodied AI Simulation

reacted to their post with 🔥 5 months ago

Post

2645

I'm absolutely stunned by the aesthetics of HunyuanImage-3.0
The visual effects of this model are simply beyond imagination it’s every bit as good as NanoBanana, no compromise at all.
I fine-tuned my micro-scene prompts by adding text overlays and background effects, and its adaptability is truly breathtaking. With just one prompt, you can generate scene posters for any movie or novel.
Every detail, from scene design to text style and atmospheric effects, perfectly aligns with the tone of the original material.
No forced elements, just seamless, film-grade visual effects that exactly match what I envisioned.

👉 Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct

3 replies

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reacted to Benedictat's post with 👀🔥 5 months ago

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2781

Tencent HunyuanImage 3.0-Instruct is seriously impressive

skyrocketed to 2nd place globally on the LMArena leaderboard, only trailing Google Nano-banana Pro.

What excites me most is its newly launched image editing and multi-image fusion capabilities

its semantic understanding is rock-solid this Instruct-following capability basically enables one-sentence end-to-end workflows, delivering a dimensionality-reducing boost in efficiency.

Frankly, it nails the pain points of frontline creators: old photo restoration, text modification, even extracting people from multiple images to create group shots. Previously, tweaking the fusion quality took tons of effort, but now the out-of-the-box realism and emotional expression are top-tier zero cheap AI artifacts

👉 Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct

technical report：https://arxiv.org/abs/2509.23951

2 replies

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reacted to their post with 👍 5 months ago

Post

2645

I'm absolutely stunned by the aesthetics of HunyuanImage-3.0
The visual effects of this model are simply beyond imagination it’s every bit as good as NanoBanana, no compromise at all.
I fine-tuned my micro-scene prompts by adding text overlays and background effects, and its adaptability is truly breathtaking. With just one prompt, you can generate scene posters for any movie or novel.
Every detail, from scene design to text style and atmospheric effects, perfectly aligns with the tone of the original material.
No forced elements, just seamless, film-grade visual effects that exactly match what I envisioned.

👉 Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct

3 replies

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reacted to wangbuer999's post with 🔥 5 months ago

Post

2657

HunyuanImage 3.0-Instruct just dropped

fresh -sourceImage 3.0model! Spent 20 mins testing it on a Messi + retro scrambler fusion case

Ran on diffusers v0.26.3 + CUDA 12.1 | 8B MoE params (1.3B activated) | zero VRAM issues

strength=0.9 Messi #10 kit/tattoo sharp, moto’s rusted metal texture blurred (classic open-source pain)
strength=0.7 Moto/cobblestone background crisp, Messi’s jersey details faded completely

strength=0.75 + prompt "Blend seamlessly, keep all original details": both subject & background sharp
No ControlNet, no manual masking the model’s chain-of-thought reasoning parses image+prompt first
Already outperforms Qwen-Image-Edit 2511 (GSB eval +25.7% on single-image edits) | 100% open-source

👉 Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct

technical report：https://arxiv.org/abs/2509.23951

Anyone else struggled with strength tweaks for fusion? This fixed it for my Messi+moto case did it work as well for yours?

6 replies

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posted an update 5 months ago

Post

2645

I'm absolutely stunned by the aesthetics of HunyuanImage-3.0
The visual effects of this model are simply beyond imagination it’s every bit as good as NanoBanana, no compromise at all.
I fine-tuned my micro-scene prompts by adding text overlays and background effects, and its adaptability is truly breathtaking. With just one prompt, you can generate scene posters for any movie or novel.
Every detail, from scene design to text style and atmospheric effects, perfectly aligns with the tone of the original material.
No forced elements, just seamless, film-grade visual effects that exactly match what I envisioned.

👉 Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct

3 replies

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reacted to wangbuer999's post with 🚀 6 months ago

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3171

Qwen-Image-Edit LoRA 96 Camera Angles for 3D-Consistent Image Tweaks

fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA levels up perspective editing

96 poses (4 elevations × 8 azimuths × 3 distances) – close-ups, wide shots, all angles covered

Trained on 3000+ Gaussian Splatting renders – 3D consistency holds even for -30° low-angle shots

Works with Qwen/Qwen-Image-Edit-2511 base models (LoRA strength 0.8-1.0) + ComfyUI workflow included
Tested it – plug-and-play, no fussy setup.

fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA

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