ViggleAI@ViggleAIAI 评分5050Qwen-Image-2.1 in 4 steps is here ⚡ @ViggleAI distilled Qwen-Image-2.1 into a 4-step turbo model, 6× faster, and holds up side by side with the full model ▶️ on Spaces https://hf.co/spaces/Viggle/Qwen-Image-2.1-viggle-turbo
Tripo@tripoaiAI 评分3535
Tencent Hy@TencentHunyuanAI 评分4444免费两周！Hy Image3.5 预览版已在 OnSolo 上线。短剧角色设定图。全动态视频游戏素材。关键帧。角色在每一集中保持一致。编辑是精修，而非重来。
Hy Image3.5 preview is on OnSolo. Exclusive. 5 refs. 2K. 2 weeks Members free.
Tencent Hy@TencentHunyuanAI 评分5959Hy Image3.5 preview is now available in ComfyUI. Professional-grade image generation, +30% win rate in human eval vs Hy Image3.0 → Text to image and Image to image in one model, up to 2K → Multilingual text, symbols, and small print that render correctly → Cinematic, comic, commercial photography, and illustration styles → Identity and product features that hold through scene, outfit, and style changes
Qwen@Alibaba_QwenAI 评分5959Qwen-Image-2.1 by @Alibaba_Qwen just landed as the #1 open source model in the Image Edit Arena and Text-to-Image Arena! With 1367 pts in the Image Edit Arena, Qwen-Image-2.1 took the #1 spot among open. It landed #16 overall, just 3 pts from GPT-Image-1.5-high-fidelity at #15. See the leaderboard for the Text-to-Image arena below. Congrats to the @Alibaba_Qwen team on this contribution to the open source ecosystem!
Ant Ling@AntLingAGIAI 评分4949
Unsloth AI@UnslothAIAI 评分6363Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨 A unified model for both generation and editing, delivering top-tier quality in a lightweight package. Highlights: 👀 - Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs. - Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images. - Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products. - Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography. Start to create your next masterpiece with Qwen-Image-2.1! 🖼️ - Blog: https://qwen.ai/blog?id=qwen-image-2.1 - GitHub: https://github.com/QwenLM/Qwen-Image-2.1 - Model Scope: https://www.modelscope.cn/models/Qwen/Qwen-Image-2.1 - Hugging Face: https://huggingface.co/Qwen/Qwen-Image-2.1
Tencent Hy@TencentHunyuanAI 评分4545🎨 Hy Image3.5 preview 已在 Miora 上线。编辑时保留已经好用的部分——同一画布，你的品牌规则已被记住。免费两周。
Hy Image3.5 preview is live on Miora. FREE through October 7. Campaign visuals. Product scenes. Storyboards. Game concepts. Up to 2K. Text-to-image and image-to-image. Try it: https://miora.design/
NVIDIA 发布 DLSS 5，引入 DLSS 3D-Guided Neural Rendering 和细粒度控制，帮助开发者在保留艺术意图的同时加入逼真光照与材质细节。同步更新 NVIDIA ACE、RTX Mega Geometry 2.0 和 RTX Kit，覆盖角色 AI、高密度几何与渲染工作流。
Qwen@Alibaba_QwenAI 评分3535来自 @inteldevs 的 Day-0 OpenVINO 支持！🥳 Qwen-Image-2.1 已可在 Intel 硬件上优化运行。一个开放权重 checkpoint，同时支持生成与编辑。👇
We're excited to offer Day0 OpenVINO support for Qwen-Image-2.1 Read more about what you can accomplish here: https://ms.spr.ly/6019a5nm5
Xiaomi MiMo@XiaomiMiMoAI 评分3535
Qwen@Alibaba_QwenAI 评分4242感谢 @sgl_project 的 day-0 支持！🙌 SGLang-Diffusion 现已支持 Qwen-Image-2.1：文生图、多图编辑，以及透明 RGBA 输出。快来试试！🎨
Day-0 support for @Alibaba_Qwen’s Qwen-Image 2.1 is here in SGLang-Diffusion! 🖥️ Native precision on a single RTX 4090 24GB with CPU offload - 1024×1024 generation in 18.7s and image editing in 21.7s with 22.7 GiB peak GPU memory during requests. - On an RTX PRO 6000 96GB: 8.0s generation and 9.6s editing. 🎨 Text-to-image, multi-image editing, and transparent RGBA output—all with one checkpoint. ⚡ Native inference with TP/SP, LoRA, and OpenAI-compatible APIs. 40 denoising steps, one image per request, warmed HTTP latency including PNG output. No quantization. Cookbook and GPU-specific commands below 👇
Qwen@Alibaba_Qwen精选AI 评分6666Qwen Image 2.1 is here! 🖼️ A 7B params native image generation and editing model, with up to 10 image references The model comes with it's own prompt enhancement LLMs, integrated with diffusers 🧨 and ComfyUI ▶️ on Spaces https://huggingface.co/spaces/hugging-apps/qwen-image-2-1
推荐理由：原文给出了模型的参数量、参考图能力与免配置体验入口，读者可以直接在浏览器试用判断适用性。
Qwen@Alibaba_Qwen精选AI 评分6565Qwen-Image-2.1 is now supported in ComfyUI! Open weights. One 7B checkpoint that generates and edits. → Image generation at native 2K → Instruction editing from up to 10 reference images in a single pass → RGBA output, alpha included
推荐理由：正文点出该模型已在 ComfyUI 支持，读者可以据此更新本地图像生成与编辑工作流。
Grok@grokAI 评分5555Hollywood would spend 7 figures on this Odyssey scene. @PJaccetturo and his studio made this pilot in 9 days, with 3,627 images, 3,043 videos, and generations costing $2,677. Here’s their breakdown of how they did it 🧵
Google AI@GoogleAIAI 评分3939
Mustafa Suleyman@mustafasuleymanAI 评分4949Generating high-quality images is cheaper and faster than ever. Muse Image, MAI-Image-2.6 and GPT Images 2.5 have substantially shifted the Text to Image Pareto frontiers for both price and speed in recent weeks.
Krea@krea_aiAI 评分3232
SenseTime@SenseTime_AIAI 评分5353商汤发布 SenseNova U1.5 技术报告，这是一个开源的 8B-MoT 原生统一模型，通过共享注意力连接理解与生成。
蚂蚁 inclusionAI 在 Hugging Face 发布 Ming-Image-0.1-Design-Layer，可将扁平化设计图按指定层数拆解为 RGBA 图层，采用 MIT 许可。
蚂蚁 inclusionAI 在 Hugging Face 发布 Ming-Image-0.1-Design，是一个面向 UI、信息图、海报等文字密集视觉设计的 6B 文生图模型，支持完整视觉构图和带透明背景的 RGBA 输出。
Midjourney 为 alpha.midjourney.com 推送更新，新增韩语支持，并集中修复 v8.2 编辑器的多项问题。编辑器提示栏在附上图片后会询问“What would you like to change?
Kling AI@Kling_aiAI 评分1111
Luma@LumaLabsAIAI 评分2727有没有拍完照后被要求看背面？我们也是。 Camera Angles 把一张照片变成一整组拍摄。选好你的角度，就能从每个角度拿回同一个主体，细节完好。 为你希望当初拍到的那些镜头。
MiniMax Design (H3)@Hailuo_AIAI 评分2222うきょさんのプロンプトでMinimaxH3Designで作成しました。 これマジでヤバいですね。 @Hailuo_AI #MiniMaxH3
通义（Qwen）发布开源图像生成模型 Qwen-Image-2.1，官方称其为 Qwen 目前最强的开源图像生成模型。该模型已在 QwenLM 项目下开源，具体参数规模与评测分数尚未在原文中披露。
Luma@LumaLabsAIAI 评分1919
Midjourney@midjourneyAI 评分1414Google AI@GoogleAI精选AI 评分6565
推荐理由：官方介绍 Pics 的对象级编辑、图内文字修改和协作能力，也说明可用范围与 Workspace 集成，方便判断是否纳入工作流。
Hugging Face 发布 Workflow1111，用 gr.Workflow 在单个画布上以 73 个节点重建了 AUTOMATIC1111 的 11 条媒体管线，涵盖文生图、hi-resolution fix、图生图、VLM 反推提示词、检测生成 inpaint 蒙版、ControlNet 风格 annotator、背景去除、PNG Info 和图生视频。
推荐理由：官方用 Gradio Workflow 在单个画布上复刻了 AUTOMATIC1111 的主要功能，读者可以对照它了解节点式工作流与 ComfyUI 的差异。
ViggleAI@ViggleAIAI 评分5050
OpenAI 发布 ChatGPT Images 2.5，可将用户的想法、草图和参考照片转化为更个性化、更精致且更贴近创意的图像。材料为官方摘要，未提供更多细节。
Midjourney 向 alpha.midjourney.com 推送大规模更新，最大变化是新的 v8.2 编辑模型上线，编辑器直接内置于 lightbox，可用自然语言指令编辑、附加最多 4 张参考图并集中查看本次会话的编辑。
上海人工智能实验室 InternLM 团队发布 InternLumina-U2，一个面向全视觉理解、图像生成与编辑的多码本扩散大语言模型。该模型将扩散生成能力与语言建模统一在同一框架内，可同时处理视觉理解与图像生成、编辑任务。
Midjourney 更新了 V8.2 编辑模型，图像质量得到提升。官方建议过去 24 小时内遇到问题的用户重新尝试，并继续反馈意见。更多更新即将推出。
Midjourney@midjourneyAI 评分3232我们更新了 V8.2 编辑模型，图像质量更好了。如果你在过去 24 小时内遇到任何问题，请再试一次，并继续给我们反馈。谢谢！更多更新即将到来。
Midjourney@midjourneyAI 评分4545Midjourney 开始让所有用户测试首个 V8.2 图像编辑模型。该模型支持用指令编辑图像、以最多 4 张图像参考生成新图（替代 omni-reference）、局部重绘（inpainting）与扩图（outpainting），并可用 personalization、moodboards 和 srefs。
推荐理由：官方宣布 V8.2 图像编辑模型开放测试，列出指令编辑、多图参考、局部重绘等能力变化和具体入口。
Midjourney 为 alpha.midjourney.com 上线两周的大改版推送了一批 UX 改进与 bug 修复，侧边栏新增可折叠的文件夹树分组，支持双击重命名分组并把新文件夹直接归入其中。
MIT CSAIL 团队在 Nature Communications 发表论文，提出“归因衰减”现象：训练数据越大，单个样本对生成结果的影响越小，删除任一图像甚至某艺术家的全部图像后输出不变。