Best tweets about AI Image Generation

50 Best Tweets About AI Image Generation (2026)

Discover the best tweets about AI image generation, covering models, prompting, workflows, visual consistency, design experiments, and commercial use.

AI image models, prompt techniques, editing workflows, visual results, consistency, licensing, and professional use.

Creators
45
Updated

Top AI Image Generation tweets from 45 creators

Ranked 01–50

  1. 01

    @Alibaba_Qwen ·

    🎨 Meet Qwen-Image-3.0 — the third generation of our foundational image generation model. If 1.0 was about "Precision," and 2.0 added "Variety, Completeness, Beauty & Authenticity," then 3.0 comes down to a single word: Real (实). Three dimensions of "Real": 📰 Rich Content —

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  2. 02

    @mikefutia ·

    Nano Banana 2 + Claude Code can generate 40 static ads in one shot. You just paste in a brand URL and let it rip. 00:00 Intro 00:34 Setting up the project 02:17 Building the skill file 05:01 Adding 40 ad templates 06:32 FAL AI image generation setup 10:47 Running the full

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  3. 03

    @OpenAI ·

    We’re adding new ways for people to identify AI-generated images and understand where they came from. In addition to C2PA Content Credentials, images now also contain a SynthID watermark, and can be identified using a public verification tool to check whether an image was made

    • 300Replies
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  4. 04

    @pritopian ·

    Billions of $$ raised to generate images, and none of them let you actually edit what you get. You type a prompt, get something close, try to fix one thing, and the whole image regenerates. Now 50% of what was working is gone. So you prompt again. And again. Stuck in prompt

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  5. 05

    @ComfyUI ·

    Ideogram 4.0 is now natively supported on ComfyUI @ideogram_ai v4.0 is an open-weight 9.3B text-to-image foundation model. It is exclusively trained on structured JSON caption datasets for precise scene description. It features flawless text rendering, professional layout

    • 25Replies
    • 43Reposts
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  6. 06

    @ComfyUI ·

    ERNIE-Image is now in ComfyUI An open-source 8B DiT text-to-image model from @ErnieforDevs, licensed under Apache-2.0. Key highlights: - Open-source under Apache-2.0 license - Precise multilingual text rendering (EN, ZH, and more) - Complex instruction following — multi-object,

    • 5Replies
    • 45Reposts
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  7. 07

    @zarazhangrui ·

    Don't get AI to generate images; get them to generate SVGs! Vector illustrations that seamlessly blend into the design style is the perfect complement to HTML Slides (Here I'm using the @QuiverAI API inside @AnyGenIO's Frontend Slides feature https://t.co/HDcFWYzJXa)

    • 16Replies
    • 20Reposts
    • 174Likes
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  8. 08

    @EXM7777 ·

    here's the cheapest and fastest way to access any image and video gen model from Claude Code or Codex: > add fal ai MCP (check their docs) > say "generate a product photo" and it picks the best model automatically > say "upscale it 4x and turn it into a 10-second video" and it

    • 8Replies
    • 8Reposts
    • 102Likes
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  9. 09

    @ihteshamali ·

    🚨BREAKING: A Chinese top university and UC Berkeley just trained an AI that searches the internet before generating images, and the results are insane. Every AI image model today is working from frozen memory. Ask it to generate a portrait of the 2024 Pritzker Prize architect

    • 9Replies
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  10. 10

    @alexxubyte ·

    How AI Actually Generates Images There are two main ways modern models generate images: auto-regressive and diffusion. Auto-regressive models generate an image piece by piece. During training, an image is split into tokens, and the model learns to predict them one by one, just

    • 5Replies
    • 35Reposts
    • 169Likes
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  1. 11

    @ModelScope2022 ·

    Anima Preview3 is here 👏👏👏 2B anime/illustration text-to-image model by CircleStone Labs! 🎨 Trained on millions of anime images + ~800k non-anime art images. No synthetic data. ✅ Danbooru tags, natural language, or mixed — all work ⚡ Preview3: extended 1024 high-res training,

    • 1Replies
    • 18Reposts
    • 162Likes
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  2. 12

    @toyinomotoso ·

    We are also using AI to create exceptional image ads. Thanks to GPT 2.0, you can create high converting image ads within seconds. This image ad is one of our winners. I modeled it after a winning image ad my friend shared with me. GPT created it within seconds. It became an

    • 16Replies
    • 8Reposts
    • 116Likes
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  3. 13

    @_simonsmith ·

    Just had Codex redesign a presentation slide-by-slide using GPT Image 2, generating an entire image for each slide, then packaging the images into a new deck. The result is gorgeous and incorporates text, logos, and visuals from the original deck perfectly. I think OpenAI’s bet

    • 7Replies
    • 5Reposts
    • 181Likes
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  4. 14

    @DanielSmidstrup ·

    I ran a small experiment: AI images in my posts. It cost me up to half my reach. For ~2 weeks I attached more images than usual, many of them AI art, added for fun. So I pulled my last 100 posts. 43 had an image. Avg impressions, image vs. text-only (outliers removed): All

    • 55Replies
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  5. 15

    @ostrisai ·

    AI Toolkit now supports training LoRAs for @vivago_ai HiDream-O1-Image. Currently only text to image is supported. I will add support for reference images soon. This model is an entirely new paradigm, so it will likely take some time to nail down the best way to train it.

    • 13Replies
    • 15Reposts
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  6. 16

    @TheAIColony ·

    Breaking: Someone just turned GPT-Image-2 into a copy-paste tool. A GitHub repo dropped this month with 1.7k stars in days. Inside: ready-made prompts for portraits, posters, character design, UI mockups, convenience store neon photography, even Song Dynasty social media

    • 7Replies
    • 41Reposts
    • 106Likes
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  7. 17

    @HuggingModels ·

    Meet ControlNet v1.1: the game-changer for AI image generation. It doesn't just create images from text. It lets you CONTROL the composition, pose, and structure. Think of it as giving the AI a blueprint. This is why artists and creators are obsessed.

    • 2Replies
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  8. 18

    @ModelScope2022 ·

    🎨 ERNIE-Image is now open source! 8B DiT text-to-image from PaddlePaddle, two variants. 🚀 ✅ ERNIE-Image (50-step): GENEval SOTA (0.8856). Strong on dense text, complex layouts, structured generation. ⚡️ ERNIE-Image-Turbo (8-step via DMD + RL): strongest open-source model at

    • 3Replies
    • 11Reposts
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  9. 19

    @BenjaminDEKR ·

    Am I the only one not impressed by this? It makes perfect sense that AI image generation should be able to do "fake screenshots" well. There are millions (potentially unlimited) examples to train on, desktop apps are standard and all follow known patterns, icons always look the

    • 51Replies
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  10. 20

    @shushant_l ·

    I'm shocked most people use AI image generators without knowing what actually happens behind the scenes. Here's how AI turns a simple text prompt into a stunning image step by step. --- 📂 AI Image Generation ┃ ┣ 📂 Big Idea ┃ ┣ 📂 Learn From Billions Of Image Text Pairs ┃ ┣ 📂

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  11. 21

    @thetripathi58 ·

    I tested Uni-1 by @LumaLabsAI and I’m impressed. It’s not just text-to-image, it feels like reasoning-to-image. The Uni-1 actually thinks through the composition instead of just generating pixels. You can see it in details like glass refraction. It’s more about clear thinking

    • 13Replies
    • 42Reposts
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  12. 22

    @aliscodes ·

    If you're using AI image generators and you're not using Magic Layers by Canva yet, let me put you on. You can take the images that AI creates, plug them into Canva, and actually separate all the items inside of the image. You can even change the text color, move elements,

    Video thumbnail from Ali Sufian's postWatch video
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  13. 23

    @mark_k ·

    I've lately tried to make my X posts more visually appealing. It's really not hard to do in the age of AI. Screenshots can be prettified and highlighted in seconds by Grok Imagine, infographics are easy to do with GPT-Image-2. It doesn't take a lot of effort or time, just taste!

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  14. 24

    @0xCharlota ·

    nothing you learn is wasted. Industrial design degree taught me form factors, materials, finishes, packaging. I never became a product designer. but as a brand designer, I now build identities that extend into physical touchpoints most designers overlook. 5 years as a

    • 3Replies
    • 1Reposts
    • 57Likes
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  15. 25

    @riyazmd774 ·

    AI image editing just changed completely. I gave an AI a rough image. Then I kept refining it through a conversation. No exporting. No switching tools. No starting over. Just one creative workflow from idea → final asset. Here's what happened 👇

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  16. 26

    @aaliya_va ·

    For a long time, AI image models were competing on realism. I think the next competition is design quality. That is what stood out to me with @SenseTime_AI SenseNova U1 Pro. The images do not just look realistic. SenseNova U1 Pro creates visuals that look ready to use.

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  17. 27

    @alexgoughcooper ·

    This is the first time I've seen Meta's AI image generator make static variations that look good enough to launch. They're not all good ads, but they're significantly better than what we saw two months ago. This reinforces the idea of persona-based advertising for me. AI will

    • 13Replies
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  18. 28

    @burkov ·

    Generating an image from a sentence used to require a separate classifier trained on noisy images just to steer the output toward the prompt. This paper from OpenAI shows you can drop that. The core idea is classifier-free guidance: during training the text caption is sometimes

    • 6Replies
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  19. 29

    @shushant_l ·

    Here's how to create your post-impressionism style portrait: 1. Go to Google Gemini 2. Select 'Pro' model 3. Select 'Create Image' tool 4. Add your image 5. Add this prompt: Create a post-Impressionism style portrait of the person in the provided image. Preserve the subject’s

    • 1Replies
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  20. 30

    @aaliya_va ·

    ChatGPT Images 2.0 just changed the game for AI visuals. This isn’t just “better image generation”, it’s a full upgrade in how images are created. Now you can: • Get sharper, cleaner visuals with improved text + detail accuracy • Edit images step-by-step inside chat (like

    • 22Replies
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  21. 31

    @atulkumarzz ·

    Just spent some time testing GPT Image 2 over at @EaseMate_AI_ , and it’s officially my new go-to for creative work. It’s not just for memes it’s a professional-grade engine. I mapped out 30 different ways you can actually use this thing in a real workflow. 👇 1. Product

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  22. 32

    @arena ·

    MAI-Image-2 debuts at #5 in the Image Arena! Highlights: - #5 in Text-to-Image overall - #5 for 3D Imaging & Modeling, Cartoon, Anime & Fantasy, Photorealistic & Cinematic Imagery, Art and Portraits - #6 for Product, Branding & Commercial Design Congrats to the @MicrosoftAI

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  23. 33

    @_vmlops ·

    OPENAI'S IMAGE MODEL JUST GOT A CHEAT CODE someone built a curated prompt library for gpt image 2 pixel-perfect text rendering cross-image consistency commercial-grade illustration all in one free, open source repo ◾️ 16 languages supported ◾️ ready-to-use prompt collection ◾️

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  24. 34

    @coreyhainesco ·

    I built a skill that creates and optimizes marketing images — AI generation with Flux, DALL-E, and Midjourney, plus optimization for web performance and platform specs. You describe what you need and it selects the right AI model, writes effective prompts, iterates on the

    Video thumbnail from Corey Haines's postWatch video
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  25. 35

    @eric_seufert ·

    Advantage+ Creative generated an ad for REI featuring a bike with two sets of handlebars. Creative Enhancements are turned on by default in Advantage+, so incidents like these are to be expected (we've seen similar cases with True Classic, Kirruna, and Lectric). The

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  26. 36

    @edmundtian ·

    Stop using “Plain English” to prompt AI. If you want studio-quality visuals, you don't need a better prompt. You need an LLM to turn your vision into technical direction. You need an AI Art Director. First photo: "make me a vogue model" Second photo: "Studio Vogue fashion

    • 0Replies
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  27. 37

    @maxwellfinn ·

    GPT Image Gen 2 is really impressive. First thing I made with the most basic prompt possible: “Create an infographic for Instagram post about how advertisers can use cognitive biases” A year ago we were excited if these models spelled the few words of text we told it to use

    • 1Replies
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  28. 38

    @FellMentKE ·

    Baidu has open-sourced ERNIE-Image, a new text-to-image model. I tested it by generating a simple four-panel poster to see how it handles layout, specific text, and instruction following. Prompt used: Create a 4:5 infographic with a clean 2x2 grid, pastel backgrounds, rounded

    • 14Replies
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  29. 39

    @RileyRalmuto ·

    my favorite activity to do when i need a brain break is pick a model and ask it to generate an image using the same prompt (i have done this with this prompt since gpt-4o, using the same prompt): "hey friend, will you generate the most realistic depiction of an alien you can

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  30. 40

    @VaibhavSisinty ·

    AI just entered Minecraft. And it's exactly as wild as it sounds. 🤯 Higgsfield just dropped a Minecraft mod. You craft a Supercomputer block inside the game, type a prompt, and it generates stuff directly into your world. Want the Statue of Liberty? Type it. It builds itself.

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  31. 41

    @Bogzabs96 ·

    Using one AI image model for everything is why your outputs look off. The map we run: - iPhone-style natives: Higgsfield Soul - Photorealistic product shots: Seedream 4.0 - Edits and character consistency: Nano Banana Under 30 seconds per generation, 2 to 4 outputs each.

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  32. 42

    @rahulnanda86 ·

    Just tried ImagineArt 2.0 - Text to image. Blown away by the how real it has gotten!! Prompt - Ultra-realistic editorial portrait of a South Asian woman in her mid-20s, seated casually on a low wall in front of a vibrant graffiti mural in an urban alley. Outfit: flowy boho-chic

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  33. 43

    @_simonsmith ·

    I'm really loving this trend of having GPT Image 2 create nature-inspired objects. For this one I had Codex (5.5) spin up subagents to brainstorm ideas, pick its favorite, then visualize it. I feel like with some minor tweaks you could make this chair surprisingly comfortable. I

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  34. 44

    @pankajkumar_dev ·

    Microsoft launches MAI-Image-2 – a new text-to-image AI built with photographers and designers - Developed with professional photographers, designers, and visual storytellers - Highly photorealistic output with natural lighting, accurate skin tones, and realistic environments -

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  35. 45

    @heysajib ·

    @LumaLabsAI just dropped Uni-1, and it is not your average image model. Most AI image tools follow instructions. Uni-1 actually thinks through them first. Before generating a single pixel, it breaks down your prompt, resolves the logic, plans the composition, and then renders

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  36. 46

    @gracepace_ ·

    Had a great time at @upscaleconf conference by Magnific in San Francisco last week! My takeaways as a designer & creator: AI is shifting creative work from execution to direction. On prompting: Treat your prompts like briefs. Be as specific about mood, reference, texture, and

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  37. 47

    @Chinwe_Owanta ·

    AI image generation is not a walk in the park. You’d have to observe and learn the patterns of each model to know which fits in best for your desired outcome. What works on one model can completely flop on another. Same prompt, totally different output, totally different

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  38. 48

    @dbreunig ·

    It's striking that despite being able to conjure up most anything you want with image-gen models, AI-art above blogposts and articles has distinctly clip-art vibes.

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  39. 49

    @wycats ·

    I feel like I don't see much on social media about "just having fun" applications of AI image generation. I grabbed a snapshot of a McDonald's stranger things box and gave some reference images / instructions and got this.

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  40. 50

    @FrancescoCiull4 ·

    Generating tech diagrams and thumbnails with AI has always been a struggle, especially with text rendering and logical layouts. I have been testing Uni-1 by @lumalabsai, their new reasoning-to-image model. Instead of just generating pixels based on keywords, it first processes

    A technical diagram titled Multi-Agent AI Architecture that illustrates a centralized hub-and-spoke system for managing multiple artificial intelligence agents.
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