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#Image generation

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Sep 15

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Sep 14

Sep 14Mon
  1. MiniMax (official)AI score36

    MiniMax H3 community projects speed up open-source video generation

    AIMiniMax highlighted open-source community progress on its H3 video generation model, which it built with native stereo audio and multimodal reference control. Recent highlights include FastH3's 4-step distillation running on DGX Spark and Apple Silicon, and NVIDIA's Sol-H3 generating 15 seconds of 768p video with audio in 6.6 seconds on 8×B300 in a warm-inference benchmark. Other releases include VDN's faster-inference attention work with code and weights, and 8-step Acc-LoRAs from Alibaba PAI, with LightX2V offering 4- and 8-step Turbo LoRAs.

    Image from @MiniMax_AI's post

Sep 13

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  1. Qwen · new models on Hugging FaceAI score67

    Qwen releases open-source Qwen-Image-2.1 for generation and editing

    AIQwen has open-sourced Qwen-Image-2.1, a unified text-to-image generation and image editing model with 7B parameters in its visual generation component. The model can generate regular or transparent RGBA images, supports up to 10 reference images for editing, and is licensed under the Qwen Research License Agreement.

    Why it matters: The source specifies the 7B visual component, transparent RGBA output, and up to 10 reference images, which helps readers judge its fit for generation and editing workflows.

Sep 8

Sep 8Tue
  1. Ian Johnson 🔬🤖AI score23

    Ian Johnson builds a font generator from letter-cluster embeddings

    AIIan Johnson (@enjalot) built a font generator after finding a cluster for each letter of the alphabet in his dataset, with Astra helping write the code. The tool is available as a Hugging Face Space and on GitHub, and the dataset includes SigLIP2 embeddings that allow concept search and clicking a result to jump to similar blocks.

    Video from @enjalot's post

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  1. Midjourney UpdatesAI score52

    Midjourney's alpha adds v8.2 edit model with lightbox editor

    AIMidjourney's alpha site now runs the new v8.2 edit model, with an editor built into the lightbox. Users can edit images with plain-text instructions, attach up to 4 reference images, and view all session edits in one place. The update also adds an early Change Style feature, and the team says speed and error messaging have improved, while drag and drop and the prompt bar are still in progress.

  2. Awni HannunAI score51

    Mirai releases speculative decoding in Uzu for Qwen3.6-27B on Apple M5 Max

    AIMirai is releasing speculative decoding in its Uzu inference engine, starting with Qwen3.6-27B. The quoted post reports 105 output tokens per second on an Apple M5 Max with 128 GB of unified memory, 2.9× faster than the fastest MLX speculative-decoding implementation Mirai benchmarked. The stack combines DFlash with Mirai's Weaver model, tree-based speculative decoding, Mirai quantization, and Metal kernels for Apple silicon.

Sep 1

Sep 1Tue
  1. InternLM (Shanghai AI Lab) · new models on Hugging FaceAI score60

    Shanghai AI Lab releases Intern Lumina U2 unified multimodal model on Hugging Face

    AIShanghai AI Lab's InternLM has published Intern Lumina U2, a 16B-parameter MoE model with 1B active parameters that handles text QA, image generation and editing, and image, video, and 3D understanding. The model uses an 8-codebook fully-discrete visual representation built on AToken. Checkpoints are provided for Huawei Ascend NPUs and NVIDIA GPUs under Apache 2.0, with the technical report still listed as coming soon.

    Why it matters: The model unifies text, image, video, and 3D understanding with image generation in one framework, a broader scope than single-modality releases.

Aug 28

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  1. RadixArkAI score34

    RadixArk adds LoRA SFT to Miles-diffusion for targeted post-training

    AIRadixArk introduced LoRA SFT in Miles-diffusion for fast, targeted post-training of diffusion models. The company trained a rank-64 LoRA adapter for MiniMax H3 to improve physical realism, using 254 curated training windows and under 3 hours on 8 GPUs. The adapter can be exported to safetensors and served directly with SGLang without retraining the full model.

    Image from @radixark's post

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  1. Google · new models on Hugging FaceAI score22

    Google releases TIPS B/14 v1 vision-language model on Hugging Face

    AIGoogle has published TIPS B/14 (v1) on Hugging Face, a contrastive vision-language model that produces spatially rich image features aligned with text embeddings. The model has 86M vision parameters and 110M text parameters at native 448 resolution, and is licensed under Apache 2.0. The release includes usage code for image and text encoding, zero-shot classification, and spatial feature visualization.

Aug 18

Aug 18Tue
  1. Stability AIAI score38

    Stability AI launches Stable Audio 3.0 plugin and enhanced web experience

    AIStability AI has released two beta tools for Stable Audio 3.0: a plugin that brings audio generation into digital audio workstations (DAWs) and an upgraded experience at StableAudio.com with more editing options. Both are powered by commercially-safe models, so users own their outputs and can distribute them freely. Some features are experimental, and the company says it will keep iterating in real time.

  2. Stability AIAI score40

    Stability AI launches Stable Audio plugin and enhanced web app for Stable Audio 3.0

    AIStability AI released a Stable Audio plugin that runs Stable Audio 3.0 generation inside DAWs as an instrument, available as a macOS AU and VST3 with Apple Silicon and Intel support. The enhanced StableAudio.com web app adds iterative prompting, audio-to-audio variations, per-track mixing controls, and export, and both tools are in beta and powered by commercially-safe models that users can distribute freely.

Aug 17

Aug 17Mon
  1. Google AI DevelopersAI score22

    Google demos Chrome extension generating visual definitions from highlighted text

    AIGoogle AI Developers showcased a Chrome extension built in Antigravity with Gemini 3.7 Flash that generates rich visual definitions when users highlight text while browsing. The post says the tool uses Nano Banana and Gemini Omni to turn the web into an interactive visual encyclopedia, with a demo video linked.

    Video from @googleaidevs's post

Aug 14

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  1. ByteDance · new models on Hugging FaceAI score52

    ByteDance releases Bernini-Diffusers-v2 video generation and editing model

    AIByteDance has released Bernini-Diffusers-v2 on Hugging Face, a video generation and editing pipeline combining a Qwen2.5-VL planner with Wan2.2 diffusion components. The model card recommends it over Bernini-R for complex requests needing stronger instruction following and multi-step semantic planning. Code and weights are available under Apache License 2.0.