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用破甲大模型理解需求并指导生图模型,这套链路本地跑通了 起因是生图提示词写起来太费劲,而没破甲的商业模型遇到无道德底线的内容根本不给输出。直接换成两套本地无审核模型互相配合: · 意图理解与提示词润色:Qwen3.8 27B Uncensored HauhauCS Aggressive(25.9GB),走 llama.cpp / CUDA 推理 · 图像生成底模:Qwen-Image-2.1-Turbo(17.3GB),走 ComfyUI / ROCm 推理 中间连接没单独写脚本,直接套用了 SillyTavern(酒馆)。除了能顺利把两边接通,主要是看重它自带的人物卡、角色性格与世界观设计机制 目前正在研究基于这套架构开放连续的故事情节玩法,还在调试中 #AI# #开源工具# #ComfyUI# #大模型#
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MiniMax H3-Image is the #1# open model in Multi-Image Edit Arena, scoring 1365 (#11# overall) and tied with Nano Banana 2 and Nano Banana Pro. It is the only open model in the top 20. It also lands: - #2# open model in Single-Image Edit (1359, tied with Qwen-Image-2.1) - #3# open in Text-to-Image (1197, tied with Ideogram 4.0) The lab reports this as the fastest 2K image editing model: 3x faster than Nano Banana 2.1 at 10-15s of generation time for 2K editing. Open weights are starting to close the gap towards the frontier. Congrats to the @minimax_AI team!
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Image 2 Low Poly I gave Fable 5.2 and Opus 5.5 one photo of a cat and a hard triangle budget. They rebuilt it four times in Blender: 100, 200, 500 and 1000 triangles, every count exact. No textures, no image-to-3D model. Just triangles, placed on purpose
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claude fable 5.2 is f*cking insane it can turn 2d blueprints into full 3d walkthroughs that you can tour these go for $5k to $10k per plan and there's a huge market for them: > home builders selling homes off plan > architects presenting a design to a client > interior designers presenting a renovation > developers selling apartments off plan > kitchen and bath remodelers selling upgrades here's how to start this business: > pick one niche and find businesses with plans on their site > give fable the blueprint and their photos > it renders a few rooms with gpt image 2.5 or a short clip with seedance as the sample > send them the sample of their own plan before you pitch > once they pay, fable builds the full walkthrough to scale > charge per plan to do the rest of their catalog give this prompt to fable to get started: you find businesses that sell spaces from drawings and turn their 2d floor plans into photoreal homes you can walk through in a browser. you handle the outreach and the build. every room is judged against the client's own photos, and nothing ships until it holds up next to them. - niche: [home builders / architects / interior designers / developers / remodelers] - area: [state or city] - offer: a free sample of their own plan, then the full walkthrough per plan - my details: [name, email, calendar link] - i'm away and won't answer questions. make the calls yourself and keep going. - use the apify google maps scraper to pull every [niche] in [area] with a website - use the apify website content crawler on each site and keep the ones with floor plans or renders on their pages but no walkable 3d tour - for each one, save the plan drawing and photos of their best plan, the sales or owner contact, and a one line note on how they sell today - only use public pages and plain requests. never work around bot checks - before any 3d work, render three rooms from the plan with gpt image 2.5, matched to their photos, or a short walkthrough clip with seedance - draft a short email with the sample and the offer. no invented prices, numbers or claims - put business, plan, sample, contact and email in a sheet and show me before anything is sent once a client pays: - trace the drawing into one data file of walls, openings and rooms. draw it back over the original and measure the overlap before any 3d work - build only the main rooms. entry, main living space, kitchen, patio, yard. close the doors on the rest - build everything in code. blender with python for the shell, furniture and textures. three.js for the viewer. no downloaded models or textures - bake the light with a film quality renderer so the browser only displays it. direct sun in every interior, picked by measurement not by eye - fidelity isn't appeal. style each room so it looks photographed and sells - their listed upgrades as options you can step into inside the room, with a running price and a lead form that records what the buyer explored - the deliverable is the live page, not a video. host it and make it run on a phone the builder never grades its own work. - after each room, send renders and the client's photos to a fresh critic that has seen none of the work - it answers with a yes or no, at most five problems ranked, each with a fix in numbers, and what is already good - fix the worst first, render again, send to a new critic. repeat until yes - for choices of taste, show a critic both versions labelled a and b and let it pick - the lead sheet with samples and drafted emails, for my approval - per paid client: the hosted walkthrough link, a contact sheet of every room, the critic log, and a note on anything a human should still check
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Qwen Image 2.1 这下载量太真实了, 官方版:9 万 无审查版:160 万 🤣 兄弟们到底都在拿它干嘛? 科研成果别藏了,发出来让我学习学习。🤣
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1. Open Gemini / Grok / GPT Image 2.0 2. Upload your photo 3. Copy the prompt 4. Generate 5. Prompt ⤵️ The Prompt: A high-quality, photorealistic portrait of a handsome young South Asian man with voluminous, styled dark hair and a neatly trimmed beard. He is sitting thoughtfully cross-legged on an ornate gold wooden chair with bright red velvet upholstery. He is wearing a traditional textured cream-colored kurta pajama with a dark maroon scarf draped around his neck. He rests his left hand lightly against his chin, looking off-camera in a pensive pose. On his left wrist is a chunky smartwatch with a bright orange band, and on his right wrist is a simple black string bracelet. He is wearing brown leather loafers. The background is a deeply blurred, festive setting featuring warm, glowing bokeh fairy lights and vibrant, softly draped fabrics in pink, blue, green, and yellow. Cinematic lighting, shallow depth of field, vibrant colors, highly detailed, 8k resolution. keep original face and hairstyle 100% reference Ratio 9:16
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最值得本地部署的两种模型: 1. 生图:Qwen Image 2.1 限制少,可玩性高。 2. 生视频:MiniMax H3 社区版本多,玩法也很野。 这俩一结合 基本就是, 想看什么,自己动手🤣
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出来度假,才发现自己的信息茧房实在太厚了😂😂😂 一张旅拍的精修图,线下门店要收100一张,依然有大把人上赶着花钱去买~ 但是他们所谓的精修,其实就是一个简单的清晰度修复+图片的拼接,我用GPT Image 2.5一句提示词,10s不到就搞定了~ 选片的时候我跟摄影师说,我不用你帮我精修,我用AI可以搞定 他非常震惊,问我是不是用豆包,还问我怎么用豆包换脸🤣🤣 我其实很感叹,平时我们天天在X上聊Agent、Bot这些,但是现实生活中90%的人别说Agent,连ChatGPT都没几个人知道~ 我们习以为常的提示词,在很多人眼里其实已经是信息差了~
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“请Dario看到视频后把我列入Claude白名单,别封我” 歌曲名:“Claude is Safe!” 歌词、视频预处理:GPT-6-Astra 作曲:Suno V6 图像生成:GPT-Image-2.5 视频模型:Seedance2.5 参考视频:Michael Jackson - “Dangerous World Tour”
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利用 Opus 5.5 借助 Qwen-image-2.1 的 Viewpoint Orbit LoRA 还能做这种穿搭视频