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Only First-party#Image generation
November 12Thursday
  1. vLLM Blog64

    vLLM-Omni benchmarks MiniMax H3-Image on Vera Rubin: 0.87s 4K generation and 6,115 images/hour

    vLLM-Omni brought MiniMax H3-Image to NVIDIA Vera Rubin and measured 0.87-second median latency for native 4096×4096 text-to-image on four GPUs, plus 6,115 images/hour in a separate throughput configuration. H3-Image is an open-weight text-to-image and editing model that pairs a Qwen3-VL encoder with a 33.1B dense DiT and an image VAE, handling both tasks in six sampling steps with up to 16 reference images. The team reports MXFP8 DiT GEMMs, Ulysses SP4, AdaLN caching and a VAE decoding change that cut decode time from 2.635s to 0.213s, and lists recipes for AMD, Intel, Huawei Ascend and Moore Threads hardware.

    Why it matters: vLLM-Omni's benchmark shows MiniMax H3-Image running on Vera Rubin at subsecond 4K latency, with per-hardware configurations and a cost model for serving economics.

  2. Recraft Blog42

    MiniMax H3 Image, Highspeed, and Lite arrive in Recraft Studio

    MiniMax's H3 family expanded beyond video this week, with H3 Image, H3 Image Highspeed, H3 Highspeed, and H3 Lite now available in Recraft Studio. The two image models generate and edit at 2K or 4K, while the two video models produce 4–15 second clips at 480p or 768p with sound. H3 Image starts at 6 credits per image and H3 Lite at 4 credits per second of video.

November 11Wednesday
  1. MiniMax Blog75

    MiniMax releases H3-Image, an open-weight model generating 4K images in under 10 seconds

    MiniMax released H3-Image, an open-weight image generation model built on H3 that supports text-to-image, reference-based generation and image editing, and can produce a 4096 × 4096 image in under 10 seconds. The company says it handles up to 16 reference images, claims state-of-the-art prompt adherence among open-weight models, and reports speeds up to 5× mainstream alternatives. H3-Image is available via the MiniMax API Platform, MiniMax Code and Hailuo AI, priced at 50–70% of comparable offerings, with 50% off 4K-and-above requests during launch week.

    Why it matters: MiniMax releases open-weight H3-Image, claiming sub-10-second 4K generation and pricing at 50–70% of comparable mainstream offerings, giving developers a new open option for high-resolution image work.

  2. Recraft Blog29

    Recraft launches Vectorizer Pro for cleaner SVG vectorization

    Recraft released Vectorizer Pro, a vectorizer that turns PNG, JPG and WebP images into cleaner SVGs, available to everyone in Recraft Studio on every plan since October 29, 2026. It keeps straight strokes straight and evenly spaced, preserves sharp icon tips and corners, and draws curves as one clean sweep, reducing cleanup in Figma or Illustrator. Flat illustrations, logos, icons and line art benefit most, while heavily textured sources may still need simplifying first.

November 10Tuesday
  2. Recraft Blog58

    Recraft guide: 12 text-prompt photo edits that work and the wording that fails

    Recraft published a guide with twelve copy-ready text prompts for photo editing on image-to-image models, built on a two-line pattern: a change line naming the object, its location and the result, plus a keep line locking faces, printed labels, framing and lighting. The guide says local edits such as removing an object, recoloring, relighting or swapping an outfit preserve identity better than restyles or weather swaps, and that prompts fail when they stack several changes, rewrite printed type, or ask for a new face or body proportion. It recommends generating two or three variants, checking at 100% zoom, and fixing one leftover error with a follow-up prompt naming only that region.

  3. Recraft Blog22

    Best AI Meme Generators in 2026: 7 Tools Compared

    Seven AI meme generators — Imgflip, Canva, Supermeme.ai, Recraft, Kapwing, ChatGPT and Magic Hour — were tested on free tier, watermark, templates, caption rendering, export sizes and API using the same three meme briefs. The comparison finds no universal winner: Imgflip wins for classic templates, Supermeme.ai for idea-to-caption, Recraft and ChatGPT for original images, Kapwing for video and GIF, and Canva when the meme must fit a layout.

November 9Monday
  1. Recraft Blog22

    Best AI Sticker Generators in 2026: 7 Tools Compared

    Recraft is the best AI sticker generator for die-cut outlines, transparent PNGs, and SVGs from one canvas, while Canva is better for sticker sheets and print orders in the same editor. Seven tools were scored on November 9, 2026 against five print criteria, and only Recraft, Kittl, and Canva Print offer a real path to cut lines or print sheets. Firefly, Ideogram, Leonardo AI, and ChatGPT win narrower jobs such as photo-to-sticker conversion or chat packs.

  2. Recraft Blog38

    Best AI Character Generators in 2026: Recraft, Midjourney, Gemini, ChatGPT and More Compared

    A comparison of seven AI character generators scored on pose consistency, reference images, style control, export formats and free tiers found no single best tool for every brief. Recraft leads for keeping one character across poses with reusable styles and SVG vector export, while Midjourney wins single-frame looks but has no free plan, with Basic at $10 per month. Gemini and ChatGPT suit iterating a character inside a chat, and Recraft, Gemini, ChatGPT, Leonardo, Ideogram and OpenArt all offer a free or weekly-credit tier.

October 29Thursday
  1. inclusionAI Repositories52

    Inclusion AI's IDM matches generator EMA features to speed up one-step and two-step text-to-image generation

    Inclusion AI and academic collaborators released IDM, a distillation method that combines internal distribution matching with moment matching in the generator's own EMA feature space, removing the need for an external feature encoder. At 2 NFE, IDM (Z-Image) scores 94.25% on LongText-CN and 90.20% on LongText-EN, and full-parameter IDM (Z-Image) runs in 0.25 s at 1 NFE and 0.30 s at 2 NFE on a single A100 in BF16. The same trained checkpoint supports both 1-NFE and 2-NFE sampling, and the code is released under Apache 2.0, while the checkpoints are listed as coming soon.

October 26Monday
  1. Apple Machine Learning Research34

    GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior

    Apple researchers present GHARP, a method that animates 3D human heads in real time from a few input images plus a driving expression signal, splitting the task into an offline identity stage and a lightweight runtime animation stage. A body alignment network removes ambiguity from body pose and clothing, and GHARP reaches state-of-the-art quality on the Ava-256 benchmark while running up to 13× faster on an A100 GPU with 8× fewer Gaussians.

October 21Wednesday
  1. Apple Machine Learning Research26

    TEAL: Token-Space Efficient Active Learning for Low-Budget Semantic Segmentation

    Apple researchers (with University of Waterloo) introduce TEAL, the first pixel-level active learning framework built on frozen ViT representations, selecting diverse candidates directly on the native token lattice via a two-level MaxHerding strategy plus margin-based uncertainty refinement. With a single labeled pixel per image, TEAL beats the strongest baseline by up to +24.36 mIoU on CamVid, Cityscapes, ADE20K and Pascal Context, reaching up to 97% of fully supervised performance with just 10 px.

July 2, 2025Wednesday
  1. Modal Blog40

    How Modal Used Evals and Inference-Time Compute Scaling to Generate Scannable QArt Codes

    Modal used evals and inference-time compute scaling to improve its QArt code system, boosting QR scan rate to its 95% service-level objective while improving aesthetic quality and returning codes in under 20s at p95. The work follows the standard ML playbook of collecting human judgments, aligning to them, then scaling, addressing the "it worked on my prompt" gap that leaves many generated QR codes unscannable.

June 18, 2025Wednesday
  1. Modal Blog58

    Modal shows how to run FLUX.1-dev three times faster

    Modal engineers describe making Black Forest Labs' FLUX.1-dev run about three times faster as an autoscaling service, cutting a 1024x1024 image from roughly 6.75 seconds to under three. Standard optimizations, namely the Torch compiler with max-autotune, fused QKV attention and channels-last memory layout, gave about 1.5x, while First Block Caching from the ParaAttention repo, based on the TEACache paper, added another 2x at a threshold of 0.12. Compile caches and Modal Memory Snapshots cut cold start latency by 30x.

November 20, 2024Wednesday
May 21, 2024Tuesday
  1. Modal Blog31

    Fine-tuning Stable Diffusion on Heroicons to Create an Infinite Icon Library

    Modal fine-tuned a Stable Diffusion model on the roughly 300-SVG Heroicons library to generate new black-and-white line icons in that style, including ones for concepts like barack-obama and golden-retriever. The full pipeline — downloading the pretrained model, full fine-tuning with HuggingFace Diffusers' train_text_to_image.py script, and serving a Gradio web UI — runs on Modal's serverless GPU platform. The write-up walks through dataset prep (SVG-to-PNG conversion, white backgrounds, caption metadata.csv) and notes that full fine-tuning worked best, though LoRA-style parallel adapters can also work for small datasets.