🚀 Ovis-Image (7B) is live on ModelScope!
✅Delivers frontier-level text rendering—on par with 20B-class models like Qwen-Image and even competitive with GPT-4o on text-heavy tasks.
✅Sharp, layout-aware output for posters, banners, logos, UI mocks, and infographics.
✅Runs fast and lean—deployable on a single high-end GPU.
Small model. Big text fidelity.
👉 modelscope.cn/models/AIDC-AI…
☕️A coffee takes 5 minutes. A full video now takes even less.
Introducing Pixelle-Video — ⚡️AI Fully Automated Short Video Engine.
Built fully on ComfyUI workflows & backend.
Input an idea → get narration, images, layout, TTS, all in one pipeline.Try Pixelle-Video and share your outputs with us !
👉GitHub: github.com/AIDC-AI/Pixelle-V…
🎯Introducing Marco Search Agent — an open-source project Towards Real-world & Challenging Agentic Search! @AI_AlibabaInt
First of all, we release two agent benchmarks:
🔥 DeepWideSearch — Benchmarking Search Agents on Depth and Width in Information-Seeking
🔥 HSCodeComp — Benchmarking Search Agents in Hierarchical Rule Application (Harmonized System Codes Prediction as a testbed)
More Details:
🌟GitHub: github.com/AIDC-AI/Marco-Sea…
📕DeepWideSearch Paper: huggingface.co/papers/2510.2…
📗HSCodeComp Paper: huggingface.co/papers/2510.1…
Thrilled to share our breakthrough at #WMT2025!
Our Marco-MT (Team Algharb) achieved something remarkable: we ranked #1 in English→Chinese translation, which not only outperforms leading AI systems like Claude-4 and GPT-4.1, but also surpasses human translators, proving our model's excellence in general translation tasks.
Among 13 language pairs we competed in, Maroc-MT-Algharb achieves:
🏅6 First Places
🥈4 Second Places
🥉2 Third Places
We did this with key innovations:
• Novel M2PO translation paradigm
• Two-stage SFT CPO MPO reinforcement learning
• Hybrid decoding with word alignment & MBR
Learn more:
🔧Demo: huggingface.co/spaces/AIDC-A…
📄Technical Report: statmt.org/wmt25/pdf/2025.wm…
🤗Hugging Face: huggingface.co/AIDC-AI/Marco…#NLP#WMT2025#MarcoMT
Wan animate is available on Pixelle MCP🎉
Try to create your kongfu cat video here:
github.com/AIDC-AI/Pixelle-M…
Prompt: Generate a motion transfer video based on this video and cat image using wan animate
#AlibabaWan
🎬 Tried the new wan2.2 animate @Alibaba_Wan and ended up with a Taoist master training alongside his cat 🐱💃
Not sure who’s teaching who, but the sync is wild 😂Cooked this up in Pixelle-MCP ⚡ — our own open-source project (yep, also from the Alibaba family 💡).Testing new models has never been this fun.
👉 Who else is playing with wan2.2 animate? Show me your craziest outputs!
#AI#PixelleMCP#opensource