#Image generation

AIArtificial Analysis reports that Grok Imagine Video 1.5 Lite comes closest to the frontier in Architecture & Real Estate, Consumer, and Productivity & Knowledge Work use cases. It sits furthest from the frontier in Live-Action Film and Frontier use cases. Against Grok Imagine Video 1.5, Lite matches it in Social Media & Creator Content and trails it on the other nine use cases.

AIAmong 12 models on AA-Video-T2V-Silent v2.0, Grok Imagine Video 1.5 Lite is the only one that is both fastest and highest quality, with no model beating it on both measures. It generates a 10-second 1080p clip in a median of 60.5 seconds. Kling 3.0 1080p (Pro) scores slightly higher but takes 94 seconds for a 5-second clip, while Vidu Q3 Turbo is 9 seconds faster on a 5-second 720p clip yet scores well below it.

AIPhilipp Schmid shared an image generated by Nano Banana 2.1 showing a completely filled glass of wine alongside a clock reading 3:30 pm. The post offers no further details about the model's capabilities, benchmarks, or availability.

AIGoogle's Nano Banana 2.1 is an upgraded image model that outperforms prior versions in visual design, mask-based editing, subject consistency, and natural-looking imagery. Josh Woodward calls mask-based editing his favorite feature from the launch and says more is coming soon.

AIGoogle has released Nano Banana 2.1, its latest image generation and editing model, which it says outperforms previous versions with gains in visual design, mask-based editing, and subject consistency. Paige Bailey shared a pug smile example made with the model and invited users to try it in Google AI Studio.

AIGoogle AI Studio introduced Nano Banana 2.1, an image generation model that Google says outperforms its previous models across the board. The update highlights better visual design, mask-based editing, subject consistency, and more natural-looking images. It is available to try today in AI Studio.

AIGoogle has released Nano Banana 2.1, an image generation and editing model on its Flash tier that succeeds Nano Banana 2 and Nano Banana Pro. The source says it improves product recontextualization, though the excerpt provides no further details on benchmarks, pricing, or availability.

AIKling AI is showcasing videos creators have made with its Kling 4.0 and Kling 4.0 Flash models. The post is promotional and includes no specifications, benchmarks, pricing, or feature details.

AIGoogle has made Gemini Nano Banana 2.1, identified as gemini-nano-banana-2.1, generally available as an image generation and conversational editing model. It improves visual quality, prompt adherence, multi-turn character consistency, and text rendering, and adds panoramic aspect ratios such as 1:4, 4:1, 1:8, and 8:1 at 1K, 2K, and 4K resolutions. The gemini-3.1-flash-image model is deprecated with no shutdown date announced, and developers are told to migrate to the new model.

AILiquidAI has released d1-omni-600M on Hugging Face, a 587M-parameter model that answers named yes/no, choice and score questions over text, images or up to 30 seconds of speech in a single forward pass. It returns typed answers with zero output tokens by reading the model's distribution over options, and is built on LFM2.5-Encoder-350M with a 16,384-token context length. The model is not a chat model and does not generate text.

AINVIDIA has released PixelUMM, an encoder-free unified multimodal model with 15,199,672,064 parameters that handles text, image, and video understanding and generation directly in pixel space. It represents images as 16-by-16 RGB pixel patches on a Qwen3-8B language backbone, with iterative denoising for generation. The checkpoint is licensed for non-commercial research or evaluation only, while the source code is under Apache License 2.0.

AIBlack Forest Labs has released FLUX 3 Image, which generates native 4K images and supports hyper-specific layouts using bounding boxes. It can make multiple targeted edits at once while staying consistent across them, and up to 10 references can be used to compose an image. The first week is 50% off, and an open-weights version is coming in the coming weeks.

AIAlibaba's Wan 3.0 ranks #1 overall on the new Artificial Analysis AA-Video-T2V v2.0 text-to-video leaderboard, priced at $12 per minute of video. The benchmark judges models at 1080p using over 68,000 human preference votes across 1,000 prompts, and the author states Wan 3.0 leads 10 of 20 category boards.

AIIdeogram 4.5 was built for precise, targeted editing but also performs very well across general editing tasks. Design Arena ranks it 15th in Image Editing with an Elo of 1250, placing it in the same performance band as MAI-Image-2.6 and Gemini 3 Pro Image Preview. It is especially strong at typography edits, such as modifying text in infographics.

AIIdeogram has launched Ideogram 4.5, an image editing model that is now live in Ideogram, the API, and launch partners. Open weights are coming soon. The launch post says the model avoids artifact buildup and pixel shifts across repeated edits, making multi-turn editing possible.

AIIdeogram 4.5 comes in four quality modes, ranging from 0.8¢ to 22¢ per image, all at native 2K resolution. Available now on our launch partners: @superscale_ai @Picsart @cfabricacom @luminal_ai @arena @runware @florafaunaai @krea_ai @trymoda @LeonardoAi @runwayml @pika_labs @fal @ComfyUI @magnific @GammaApp @LumaLabsAI @DesignArena

AIIdeogram posted a side-by-side test of identical edits on Ideogram 4.5, GPT Image 2.5 Sunburst, Nano Banana Pro, and Nano Banana 2. The post claims GPT Image and Nano Banana outputs become unusable within a few edits, while Ideogram 4.5 remains clean across repeated edits.

AIIdeogram released Ideogram 4.5, which it calls the most precise edit model, claiming it avoids the artifacts, pixel shifts, and color changes that leading models add with each edit. The company says this eliminates artifact buildup and makes multi-turn editing possible. It is live in Ideogram, via the API, and with launch partners, with open weights promised soon.

AIModelScope released Qwen-Image-2.1-Fun-Controlnet-Union, a single checkpoint adding eight structural controls, including Canny, Depth, Pose, and Scribble, plus inpainting to Qwen-Image 2.1. Control and inpainting share one branch with 16 injection points across every second Transformer block, keeping the base model frozen and requiring no checkpoint switching. It runs at guidance scale 1.0 with CFG-distilled sampling and prefix KV caching, and is available under the Qwen Research License with base Qwen-Image 2.1 weights required.

AIMicrosoft AI reports its image model rose from 864 to 1147 Elo in nine months, a gain of 377 points per year. The company says that pace is 1.6 times the next-fastest climb on the leaderboard. The post does not name the model.

AITencent has released a preview of its Hy Image 3.5 image generation model, which product teams across Yuanbao, WorkRally, Ima, and other services are helping refine through co-design. Tencent Cloud prices the model at USD 0.024 per 2K output image, and it supports text-to-image and image-to-image generation with up to five reference images. Tencent said an internal blind evaluation found it on par with ByteDance's Seedream 5.0 Pro and slightly better than Nano-Banana Pro and Qwen-Image-3.0 Pro.

AIinclusionAI open-sources the Ming-Image-0.1-Design family, two complementary 6B models for visual-design workflows, under an MIT License. Design generates complete UIs, dashboards, infographics, and posters up to 2048×2048 with native transparent RGBA output, and Layer decomposes flattened graphics into independently editable RGBA layers.

AIAlibaba's Qwen-Image-2.1 is now the top open-source model in both the Image Edit Arena and Text-to-Image Arena, according to Arena. In the Image Edit Arena it scored 1367 points, placing #16 overall and just 3 points behind GPT-Image-1.5-high-fidelity at #15.

AITencent Hunyuan replied that its model can edit images, not just generate them, answering a user's question. The post names no specific model, version, or benchmark.

AIQwen-Image-2.1 delivers better visual quality than its predecessor, particularly in the aesthetics of text rendering and portraits. The post shares several text-rendering examples to illustrate the improvement.

AIQwen-Image-2.1 is presented as handling a variety of editing tasks while balancing performance across them. As one example, given a three-view character reference, the model generates a complete storyboard.

AIAlibaba's Qwen released Qwen-Image-2.1, which accepts up to 10 reference images. The post says it can produce high-quality results but gives no further details.

AIQwen-Image-2.1 now generates transparent images natively, without post-processing. It also supports editing transparent images directly.

AIAlibaba's Qwen team released Qwen-Image-2.1 as an open-weights image model for both generation and editing, with a lightweight 7B architecture. The model natively generates and edits RGBA layers, supports up to 10 reference images for editing, and is available on GitHub, ModelScope, and Hugging Face.

AIAlibaba's ModelScope introduces Qwen-Image-2.1, a model that handles image generation and editing together, with native transparency and a compact 7B visual generation component. It adds KV cache reuse to speed up generation and editing while reducing memory use, especially with multiple reference images. The model can combine up to 10 reference images, make targeted local edits, and preserve portrait identity and product details.

AIQwen has open-sourced Qwen-Image-2.1, a unified text-to-image generation and image editing model with 7B visual generation parameters. The Hugging Face page for Qwen-Image-2.1-PE-I2I is a fine-tuned Qwen3.5-VL 9B prompt rewriter that turns vague editing instructions and input images into precise editing prompts, supporting up to 10 reference images.

Why it matters: The model card documents usage with transformers and diffusers, letting readers see how the editing prompt rewriter connects to the generation pipeline.

AIQwen has open-sourced Qwen-Image-2.1, a unified text-to-image generation and image editing model with a 7B-parameter visual generation component. The release also includes Qwen-Image-2.1-PE-T2I, a fine-tuned Qwen3.5-VL 9B model that rewrites brief image requests in any language into detailed English prompts with a recommended aspect ratio.

Why it matters: The release pairs a 7B visual generation component with a separate prompt rewriting model, showing how a brief image request becomes a detailed English prompt before rendering.

AIinclusionAI has released Ming-Image-0.1-Design-Layer on Hugging Face, a model that decomposes a flattened design image into a requested number of RGBA layers using an image and a layer plan. The model runs at 1024 resolution (512 for faster processing) with 12 sampling steps, a CFG scale of 2.0, and BF16 precision on one CUDA GPU with 80 GiB VRAM. It is released under the MIT License.

AIinclusionAI has released Ming-Image-0.1-Design, a 6B text-to-image model for UI, infographics, and posters that outputs RGBA images with transparent backgrounds. The model is available on Hugging Face and ModelScope under the MIT License. It runs at 2048 x 2048 with 12 sampling steps and a CFG scale of 1.0, validated on one CUDA GPU with 80 GiB VRAM.

AIGPT Image 2.5 is now available in ChatGPT, and the post says it keeps consistency well while editing images. It also claims state-of-the-art results on all image leaderboards, and suggests users who saw faces shift in GPT Image 2 edits try again.

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.

AIMicrosoft AI's MAI-Image-2.6 and the new MAI-Image-2.6-Flash are reported to set a new quality/price Pareto frontier for image editing on Artificial Analysis. Both models are now available in Microsoft Foundry.

AIMicrosoft's MAI-Image-2.6-Flash generates images 2x faster than GPT-Image-2, which the post calls the best model in the world. It also uses 72% less GPU, enabling a lower price and what the post describes as the best price-performance score.

AIMicrosoft AI says its MAI-Image-2.6-Flash offers the best price-to-quality ratio in the world. The post gives no pricing, benchmark, or speed figures to support the claim.

AIGoogle has made Lyria 3.5, its best-sounding music generation model, available in AI Studio, through the Gemini API, and in the Gemini app. The model produces more expressive vocals and richer musical arrangements, enabling higher-fidelity tracks.