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#Image generation

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  1. MiniMax BlogAI score72

    MiniMax H3 unifies text, image, video, and audio generation in one model

    AIMiniMax launches H3, a general-purpose multimodal generation model that understands text, images, video, and audio as unified context. It generates video up to 15 seconds at 2K resolution with native stereo sound, and the company says model weights will be opened in the coming days, subject to applicable laws and regulations. MiniMax also says H3 is priced below mainstream models at 2K and 768p.

    Why it matters: The post explains how a unified multimodal design and training choices enable 2K video with native stereo sound, useful for comparing against closed video generators.

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  1. Meta AI BlogAI score75

    Meta launches Muse Image, an agentic image model with search and code tools

    AIMeta Superintelligence Labs has released Muse Image, which can invoke search and coding tools and self-refine its generations before output. It is available today in the Meta AI app, meta.ai, Instagram Stories in the US, and WhatsApp in limited countries, with Facebook coming soon. Meta also previewed Muse Video, which is coming soon to creators and Meta AI and is reported as ranking No. 3 on Arena for text-to-video at the time of writing.

    Why it matters: The source describes how search, code execution, and self-refinement change image generation, which matters to anyone comparing agentic media models with plain prompt-to-image systems.

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  1. ByteDance · new models on Hugging FaceAI score24

    Sa2VA-LLaVA-1.5-7B: ByteDance's SAM2-Grounded Segmentation and Chat Model

    AIByteDance has released Sa2VA-LLaVA-1.5-7B on Hugging Face, a model built on LLaVA-1.5-7B with a SAM2 grounding encoder that performs dense image and video referring segmentation alongside open-ended chat. The checkpoint is self-contained and loads with trust_remote_code=True without extra packages, and it is positioned as a LISA-comparable baseline within the Sa2VA family. Reported results include 80.3 cIoU on RefCOCO val and 54.8 J&F on MeViS (val_u).

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  1. ByteDance · new models on Hugging FaceAI score28

    ByteDance releases Sa2VA-Qwen3-VL-4B-SAM3 for image and video referring segmentation

    AIByteDance's Sa2VA-Qwen3-VL-4B-SAM3 is built on Qwen3-VL-4B-Instruct with a SAM3 grounding encoder and produces dense image and video referring segmentation alongside chat. It reports 83.7 cIoU on RefCOCO val, 65.3 J&F on MeViS (val_u), and 77.1 on Ref-DAVIS17. The checkpoint is self-contained and loads on Hugging Face with trust_remote_code=True, with no extra packages required.

  2. Z.ai (GLM) · new models on Hugging FaceAI score52

    Z.ai releases SCAIL-2, an open-source end-to-end character animation model

    AIZ.ai released SCAIL-2, an open-source model that animates a reference character from a driving video without skeleton maps or inpainting masks. It also supports character replacement, multi-character scenes, and animal-driving, with 512p and 704p resolutions and inputs whose height and width are both divisible by 32.

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  1. ByteDance · new models on Hugging FaceAI score46

    ByteDance Open-Sources Bernini-R 1.3B Video Diffusion Renderer on Hugging Face

    AIByteDance has open-sourced the 1.3B-parameter weights of its Bernini Renderer (Bernini-R), available on Hugging Face as ByteDance/Bernini-R-1.3B-Diffusers. Fine-tuned from Wan2.1-1.3B, the model performs close to the 14B variant on simple tasks such as style transfer, subtitle or watermark removal, and local editing, but lags on complex tasks such as human generation. The release requires a CUDA GPU, with an H100 recommended for FlashAttention-3.

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  1. ByteDance · new models on Hugging FaceAI score44

    ByteDance Releases Bernini-R Diffusers Weights for Video Generation and Editing

    AIByteDance has open-sourced the inference code and model weights of the Bernini Renderer (Bernini-R), a DiT-based renderer paired with an MLLM-based semantic planner for video generation and editing. A diffusers-format version, ByteDance/Bernini-R-Diffusers, bundles the Wan2.2 base components with the Bernini-R transformer weights for direct loading, and the framework requires a CUDA GPU with PyTorch 2.5.1+cu124.

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  1. PaddlePaddleAI score36

    PaddleOCR and ERNIE Image now available as official Dify plugins

    AIPaddleOCR and ERNIE Image are now available as official Dify plugins, bringing document parsing and image generation into Dify's agent workflows. PaddleOCR, powered by PP-OCRv5, PP-StructureV3, and PaddleOCR-VL, turns images, scanned PDFs, and multilingual documents into structured data for chunking, vectorization, and RAG, with private or on-prem deployment supported. ERNIE Image offers free generation, a Turbo mode with 8-step inference, and an OpenAI-style API.

    Image from @PaddlePaddle's post

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  1. Fei-Fei LiAI score38

    Fei-Fei Li Highlights GPIC, a Permissive Image Corpus for Visual Generation

    AIFei-Fei Li praised GPIC, a new benchmark dataset for visual generation built for modern large-scale generative models. The corpus includes 100M VLM-captioned image-text pairs for training and 1M pairs for benchmarking, totaling about 28 trillion pixels. It is centrally hosted and fully permissive for research and commercial use.

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