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Overview Images are represented as pixel patches instead of embeddings from a separate pretrained vision encoder, allowing understanding and generation to share a Transformer-based representation. PixelUMM supports: - text-to-image generation; - image-conditioned text generation; - video-conditioned understanding; and - video generation. Model Architecture - **Architecture:** Decoder-only Transformer with raw-pixel patch embeddings and an iterative pixel-generation head. - **Language backbone:** [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B), revision `b968826d9c46dd6066d109eabc6255188de91218`. - **Image representation:** RGB images divided into 16-by-16 pixel patches. - **Generation:** Iterative denoising for image and video generation. - **Parameters:** 15,199,672,064. 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