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#Image generation

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  1. Black Forest Labs' open-weights image model FLUX 3 Image Klein runs on consumer GPUs with just 8 GB of VRAM

    Black Forest Labs has released FLUX 3 Image Klein, a 5.6-billion-parameter open-weights image model that supports native 4K generation, pixel-precise editing, and generation with up to ten reference images. With 38 percent fewer parameters than its predecessor, it still outperforms proprietary competitors in internal tests and runs on GPUs with just 8 GB of VRAM.

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  1. llm-meta-ai 0.2

    Release: llm-meta-ai 0.2 Meta AI release Muse Wonder (and Muse Wonder Full), their new "most capable models". These look like they may be Meta's first Fable class models - Artificial Analysis scores Muse Wonder (Max) as equivalent to GPT-6.1 Sol. I updated my llm-meta-ai plugin for the new model.

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  1. Quoting Ben Affleck

    Ben Affleck says he has been interested in computers since he was young, and became more interested as film moved from analog to digital, and that he can write "pretty shitty Python scripts." He notes that visual effects workflows have long included machine learning, and that convolutional neural networks, precursors to what the transformer can do, process tensors to perform edge detection and feature extraction, making it easier to take out the green screen image and replace it with something.

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  1. How Diffusion Controller unifies and simplifies AI image generation

    Google Research proposed Diffusion Controller, reframing diffusion-model denoising as a continuous control problem. A lightweight steering-damper network dynamically adjusts generation trajectories while the base model remains frozen. Evaluated on Stable Diffusion v1.4 using HPS-v2, its fully unlocked version achieved a 90% win rate against the baseline, and it supports customised control of closed models without access to internal weights.

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