Generative AI
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SANA-Streaming Brings Real-Time Streaming Video Editing to Consumer GPUs
SANA-Streaming is NVIDIA’s bid at real-time streaming video-to-video editing on consumer GPUs — a use case that’s been a wall for diffusion video models because it demands both temporal consistency frame-to-frame and inference throughput a stream can actually keep up with. ## Hybrid attention, where it counts The architectural move is mixing two attention regimes.… Continue reading
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ByteDance SwanVoice Synthesizes Long-Form Expressive Speech for Monologue and Dialogue
SwanVoice is ByteDance’s bid at expressive long-form zero-shot speech synthesis — a model that can speak in someone’s voice it has never heard before, sustain that voice across minutes of audio, and do it convincingly across both monologue and dialogue. The combination of “long-form” and “expressive” is the hard part most TTS systems quietly skip.… Continue reading
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Representation Forcing Lets Unified Multimodal Models Skip the External VAE
Representation Forcing (RF), from the University of Hong Kong and ByteDance Seed, attacks a quiet bottleneck inside unified multimodal models: the external VAE everyone leans on to bridge from latent to pixels. RF replaces that crutch by having the model internally predict — and then use — its own high-level visual representations to generate images… Continue reading
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SwanBench-Speech Benchmarks Long-Form Speech Generation Across 17 Scenarios
SwanBench-Speech is a benchmark for the part of speech generation that single-utterance demos hide: long form. Most TTS evaluations score short clips on naturalness and prosody. What breaks when you push to minutes of continuous speech — drift, identity loss, expressive monotony — they tend not to measure. ## 1,101 samples across 17 scenarios The… Continue reading
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Baidu NAVA Treats Audio and Video as One Signal Instead of Two Streams to Align
NAVA — Native Audio-Visual Alignment for Generation — comes out of Baidu’s ERNIE research group and stakes a position the field has been edging toward: audio and video should be learned together as one signal, not two separate streams stapled at the seam. ## Native, not stitched Most audio-visual generation pipelines today are bolted together.… Continue reading
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GenClaw Generates Images by Writing Code, Not Rewriting Prompts
GenClaw is a code-driven approach to agentic image generation that treats a canvas the way a programmer treats a UI — as something you write into with executable code, then iterate on. Instead of an agent repeatedly rephrasing a prompt and praying the diffusion model behaves, the agent writes SVG, HTML/CSS, Python, or lightweight 3D… Continue reading
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StepFun Ships Step 3.7 Flash, a 198B Vision-Language MoE With Tunable Reasoning
StepFun released Step 3.7 Flash, a 198B-parameter sparse Mixture-of-Experts vision-language model aimed squarely at agentic workflows that mix perception, search, and reasoning. About 11B parameters activate per token, which is the lever that keeps a model this large at Flash-speed throughput. ## Tunable reasoning, native vision The architecture pairs a 196B language backbone with a… Continue reading
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CollectionLoRA Packs 50 Image-Effect LoRAs Into a Single Adapter
CollectionLoRA tackles a quietly painful problem in customized image editing: as the number of effect LoRAs you want to ship grows, storing and dynamically loading them all turns into deployment overhead nobody planned for. Its answer is to fold up to 50 different effect LoRAs — plus few-step generation — into a single LoRA. ##… Continue reading
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minWM Opens the Full Pipeline for Turning Video Models Into Interactive Worlds
minWM is a full-stack open-source framework that walks you end-to-end through turning a bidirectional text-to-video foundation model into an action-conditioned video world model — the kind a game or agent can actually interact with frame by frame. It ships as a runnable tutorial, not just a paper. ## A pipeline you can stop at any… Continue reading
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Gemini Omni Flash Generates and Edits Video From a Single Prompt
Gemini Omni Flash is the first model in Google’s new Omni family — a natively multimodal generative media model that takes any mix of text, images, audio, and video as input and produces video as output. It shipped at I/O 2026 and is live today in the Gemini app, Google Flow, and YouTube Shorts. ##… Continue reading
