Inference hosting for AI teams who ship fast and scale faster.
Users generally view "Banana" as a competent tool, particularly favoring its graphic design and text capabilities over some newer alternatives. However, there are complaints about a lack of official communication regarding updates and API releases, which has led to user frustration. Price sentiment is largely undiscussed, pointing to potential satisfaction or indifference towards its cost. Overall, "Banana" maintains a solid reputation, with a dedicated user base appreciating its functionality despite some communication and rollout issues.
Mentions (30d)
3
Reviews
0
Platforms
2
Sentiment
0%
0 positive
Users generally view "Banana" as a competent tool, particularly favoring its graphic design and text capabilities over some newer alternatives. However, there are complaints about a lack of official communication regarding updates and API releases, which has led to user frustration. Price sentiment is largely undiscussed, pointing to potential satisfaction or indifference towards its cost. Overall, "Banana" maintains a solid reputation, with a dedicated user base appreciating its functionality despite some communication and rollout issues.
Features
Use Cases
Industry
information technology & services
Employees
170
Funding Stage
Seed
Total Funding
$5.2M
Pricing found: $1200 /mo, $20
Synthetic DMS Training Data Generation with Video Models
I like spending my free time testing new AI tools and seeing where they might fit into real computer vision workflows. This time I experimented with synthetic training data generation for Driver Monitoring Systems using Seedance 2.0. The inspiration came from Vision Banana: https://vision-banana.github.io/ The idea that really caught my attention is simple but powerful: many vision tasks can be represented as RGB outputs. A segmentation mask, an instance mask, a depth map, or another dense prediction target can all be treated as an image-like output. So I tried to apply this thinking to video. The workflow: Generate a realistic synthetic driver monitoring video Use the same video to generate a semantic segmentation mask Use the same video to generate an instance segmentation mask Combine the outputs into a dataset-like structure The mosaic video shows the result: RGB video + semantic mask + instance mask, aligned frame by frame. The scene is a fictional driver gradually becoming drowsy behind the wheel. This kind of scenario is useful for DMS development, but difficult to collect and annotate at scale with real-world data. Of course, generated annotations still need QA. They are not perfect ground truth. But for prototyping, rare-case simulation, and early dataset generation, this feels like a very promising direction. The interesting part is that the final output is not just a nice synthetic video. It can become structured training data: RGB frames from the generated video semantic classes from the semantic mask object regions and bounding boxes from the instance mask YOLO / COCO-style annotations after post-processing I wrote a more detailed blog post about the experiment here: https://www.antal.ai/blog/synthetic_dms_training_data.html submitted by /u/Gloomy_Recognition_4 [link] [comments]
View originalGoogle enterprise business trial, Just started and it's already stopped making images after 3?
So I just got the trial, wanted to finally test it out. I got the business enterprise trial and went to test out nano banana and after 3 images, it now seems to not be generating anything... Hasn't told me I have reached a limit or a time out. There's nothing. It's just the little blue symbol doing nothing. Is that it? That's what the trial offers? 3 images. I only did 3 images because the first image wasn't good enough lol. I imagine I would need to do 10 images to get the 1 image I wanted. So am I doing something wrong? Where do I check the quota? There's hardly any information on the business.gemini dashboard. Can't see quote, can't even see it says I'm on a trial although I know I went through the purchasing for it where it was 0 cost. How am I meant to give it a proper go if it limits me like this? submitted by /u/DeanMachineYT [link] [comments]
View originalI am paying 50$ who help start AI model journey?
I am paying 50$ who help start AI model journey? I have basic face pics around 8-10. Now i need video contents with the same character. Problemalistico, is that all the nano banana, and other staff can not copy the same face. And I want that same face. Any help i apprecite guys. My first work, amd i just try and try and nothing works. submitted by /u/bioshock73 [link] [comments]
View originalText-to-image is easy. Chaining LLMs to generate, critique, and iterate on images autonomously is a routing nightmare. AgentSwarms now supports Image generation playground and creative media workflows!
Hey everyone, If you’ve been building with AI agents, you know that orchestrating text is one thing, but stepping into multimodal workflows (Text + Image + Vision) is incredibly messy. If you want an agent to act as a "Prompt Engineer," pass that prompt to an "Image Generator," and then have a "Vision Agent" critique the output to force a re-roll—you are looking at hundreds of lines of Python boilerplate, messy API handshakes, and a terrible debugging experience when the loop breaks. I recently launched AgentSwarms, an in-browser sandbox for learning Agentic AI. Today, I am pushing a massive update: The Image Playground. What the feature actually does: Instead of fighting with code to test multimodal architectures, you can now drag, drop, and wire up text and image agents on a visual canvas to build creative workflows. Image Generation Nodes: Wire any text-output agent directly into an Image Node to autonomously generate visual assets. Vision AI Integration: Route generated images back into a Vision Node. You can instruct an agent to physically "look" at the generated image, evaluate it against your initial prompt, and trigger a loop to fix it if it hallucinated. Real-Time Data Flow: You can actually watch the payloads (the text prompts and the image outputs) flow across the node graph in real-time. submitted by /u/Outside-Risk-8912 [link] [comments]
View originalI built CanvasGPT – work with Claude on an open canvas
I've been building CanvasGPT for the past 2-3 years. It's a spatial workspace where you can brainstorm, research, and ship working products. What it does: Instead of linear chat, everything happens on an infinite canvas. You can work on multiple prototypes side-by-side, connect them together, and see how your research relates to what you're building. The hardest part was making the spatial reasoning work which is getting AI to understand that items placed near each other on the canvas are related. Why I built it: I got frustrated with ChatGPT conversations turning into endless scrolling. I'd lose context, couldn't see multiple ideas at once, and had no way to connect my research to what I was building. I wanted a workspace where everything I'm thinking about is visible and connected—like a whiteboard but with AI that can actually build things, not just chat about them! Key features: Spatial canvas – Multiple projects visible at once, everything stays connected Asset generation – Generate UI, images, videos, music, sound effects all in one place Multi-model support –,GPT, Gemini, and even GLM, Kimi, Nano Banana, and GPT-Image-2 Connected systems – Build apps that share data and automate workflows No monthly subscription – Just pay for what you need Try it: canvasgpt.com Happy to answer questions! submitted by /u/Neither_Finance4755 [link] [comments]
View originalAfter seeing deepseek refused to acknowledge Taiwan is a coutry I had to do a little experiment
submitted by /u/Daethir [link] [comments]
View originalI built a hands-free voice AI that sends emails mid-conversation — and that's just one feature. Here's everything AskSary can do.
https://reddit.com/link/1symbsj/video/k2no3zfgq1yg1/player Been building AskSary solo for a while. Just shipped hands-free voice email - you're mid-conversation with an AI and you say "send an email to [john@example.com](mailto:john@example.com) subject X body Y" and it pre-fills the Gmail modal automatically. One tap sends. Powered by OpenAI Realtime API, works in 22 languages. But that's just the latest feature. Here's the full picture: Every major model in one place GPT-5-Nano, GPT-5.2, GPT-5.2 Pro, O1 Reasoning, Claude Sonnet 4.6, Grok 4, Gemini 2.5 Flash, Gemini 3.1 Pro, Gemini Ultra, DeepSeek V3, DeepSeek R1 - with smart auto-routing or manual override. Pro-Active Personalisation On every login the AI reads your previous conversations and sends the first message itself - asking if you want to continue or start fresh. Before you type a single word. Persistent Cross-Model Memory Start a conversation with Claude on your phone, open your laptop, switch to GPT-5.2 - it already knows what you discussed. No copy-pasting, no summaries. Just works. Knowledge Base - RAG Upload docs up to 500MB per file, unlimited uploads, chat with them across any model via OpenAI Vector Store. Your files stay in context forever. Integrations Google Drive, Gmail, Google Calendar, Notion - access files, get email and calendar summaries, use them in chat or push them to your Knowledge Base. Generation Tools Image Gen - GPT-Image-1 and Nano Banana Pro Flux Image Editor - full editing suite with visual history Video Studio - Luma Dream, Veo 3.1, Kling 1.6 / 2.6 / 3, up to 10 second AI videos with audio Music Studio - 30 second tracks with custom or AI lyrics via ElevenLabs, visualizer built into chat 3D Model Studio - Meshy with STL export (deploying soon) Video Analysis - upload up to 500MB or paste a YouTube link Developer and Builder Tools Vision to Code - screenshot any UI, get live editable code Web Architect - build full web apps from a single prompt Game Engine - build and prototype games with AI Code Lab - split screen live coding with SQL Architect, Bug Buster, Git Guru, Regex Generator, Test Genie and more Tavily web search across all models Voice and Audio Real-time 2-way voice chat - 8 voices, near-zero latency WebRTC Podcast Mode - two AI voices, switchable, near-zero latency, downloadable as MP3 Voiceover Studio, Voice Notes, Voice Tuner Productivity and Content Slides, Docs and File Tools Pro Writer and Content Library Social Tools - Hook Generator, Video Script, Hashtag Creator, Idea Spark Business Suite - Pitch Deck Builder, Deep Analytics, Legal Eagle, Maths Solver Daily Briefing and Market Watch CV Creator, Email Polisher, Cover Letter Builder, TL;DR Bot Share conversations or snippets with anyone Platform Extras 30+ live interactive wallpapers and themes Custom Agents and Personas Folder organisation and Smart Search across chat history Media Manager Gallery - all your generated content in one place Fully customisable UI in 26 languages with full RTL support The Stack Frontend: Next.js, Capacitor (iOS + Android), Vanilla JS / React Backend: Vercel serverless, Firebase / Firestore, Firebase Admin SDK AI: OpenAI, Anthropic, Google, xAI, DeepSeek Generation: Luma AI, Kling via Replicate, Veo via Replicate, ElevenLabs, Flux via Replicate, Meshy Integrations: Google Drive, Notion, Tavily, OpenAI Vector Store, Stripe, CloudConvert, Sentry Rendering: Mermaid, MathJax Platforms: Web, iOS, Android, Apple Vision Pro What you get free just for creating an account (1,000 credits/month, rolling): Unlimited chat on GPT-5 Nano, Gemini Flash and DeepSeek V3 - no daily limits, zero credit charge 25 image generations via GPT-Image-1 and Nano Banana Pro - 40 credits each 8 image edits via Flux Studio - 80 credits each 2 song generations via ElevenLabs - 350 credits each 2 video generations via Luma Dream and Kling - 350 credits each ~70 messages on Claude Sonnet 4.6, GPT-5.2, Grok 4, Gemini 3.1 Pro and DeepSeek R1 - 15 credits each No credit card required. Built entirely solo. No CS degree, no team, no funding. Started because I asked an AI to build me a chatbot and it failed - so I built my own. Accepted to LEAP 2026 in Saudi Arabia along the way. Happy to answer anything about the build. asksary.com submitted by /u/Beneficial-Cow-7408 [link] [comments]
View originalIphone picture gpt vs nano
I was trying to get that “iPhone casual feel” out of Gemini Nano Banana 2, and honestly ever since GPT Image 2 dropped, I can’t really take Nano seriously anymore. Some obvious issues I kept getting: Completely messed up my face Made the jacket kinda brown even though I clearly said all black fit Added depth of field even though I said not to (and it’s supposed to be a casual friend pic anyway) Didn’t follow basic framing instructions I literally spelled out (subject slightly left, head near top, space above, feet slightly cut, etc.) I said “slim body” and it made me look bigger for no reason Like yeah, I have gotten some nice iPhone-style shots out of Nano, but mostly with mirror pics. Anything more specific and it starts falling apart. And no, it’s not a prompting issue. It just takes way too many regenerations to get something usable. Also in general, AI almost never gets my face or hair right. GPT Image 2 is the first one that actually nailed both the face and the prompt properly. I still like Nano Banana 2, but I genuinely feel like GPT Image 2 could pull off what I want with something super simple like: “guy standing in a warm night city, shot on iPhone” And it would just get it right. Curious what others think. submitted by /u/Scared_Strategy8996 [link] [comments]
View originalAI School video help
Hi, I need to make a school video of me doing a speech for Tuesday, I have the speech and I know how to overlay my recorded voice on a video but the video doesn't really lip sink very well and I need help finding a free ai that can fix that, that doesn't change quality or anything like normal chatgpt, kinda like nano banana but free please submitted by /u/Cultural-Mirror1758 [link] [comments]
View originalNano Banana or Gpt Image 2 ?
Comment « prompt » for the prompt submitted by /u/confindev [link] [comments]
View originalSame prompt for GPT-Image-2 vs Nano Banana 2,crazy for text generation
Initially, I didn't have high expectations for GPT-Image-2. Image-1.5 was disappointing, and Nano Banana Pro and 2 were too powerful. After five months of silence, Image-2 suddenly went into gray-scale testing without any official announcement. But when I finally got to the gray-scale testing phase and saw that a single sentence could generate the image below. After using the free image 2 on PixPretty. They've definitely acquired a lot of impressive data during this period. I make this for a new brand, it is total be desinged by image 2. One of the most stubborn shortcomings of AI image generation has long been text rendering; garbled characters, spelling errors, and distorted fonts have been chronic issues across the industry. GPT Image 2 marks a transformative leap forward in this regard: it can now generate not only legible and correctly spelled English and Chinese text, but also handle more complex layouts, longer paragraphs, and even multilingual compositions. This means you can now use it to directly generate posters, social media banners, presentation graphics, and even app screenshots featuring realistic text interfaces, without the need for post-production text correction in Photoshop. submitted by /u/Lonely_Noyaaa [link] [comments]
View originalBuilt a multi-model AI platform with real-time WebRTC voice, persistent cross-model memory, and a full generation suite - free account gets 1 min voice/month
https://reddit.com/link/1sutga7/video/ktd3pxcam7xg1/player I've been building AskSary for the past few months - a multi-model AI platform - and just shipped real-time 2-way voice chat powered by OpenAI's WebRTC API. The visualization reacts to your voice in real time: 180 radial frequency bars orbit a glowing orb, 280 particles drift across a full-screen canvas, aurora sweeps and ripple waves emit on voice peaks, and the whole thing color-shifts from cool blue (listening) to warm violet (speaking). Near-zero latency, 8 voice options. Anyone with a free account at asksary.com gets 1 minute of real-time voice every month to try it out - no credit card needed. The platform also has a lot more built around it if you're curious: Models - GPT-5-Nano, GPT-5.2, GPT-5.2 Pro, O1 Reasoning, Claude Sonnet 4.6, Gemini 2.5 Flash, Gemini 3.1 Pro, Gemini Ultra, Grok 4, DeepSeek V3, DeepSeek R1 - with smart auto-routing or manual selection Memory and context - Persistent cross-model memory. Start on mobile with Claude, switch to GPT-5.2 on desktop and it already knows the conversation. Plus proactive personalization: on every login the chatbot reads your previous sessions and opens with a message asking if you want to continue - before you type anything. RAG - Upload docs up to 500 MB each, unlimited uploads, chat with them across any model via OpenAI Vector Store Generation - GPT-Image-1, Nano Banana Pro + Flux editor with visual history, Video Studio (Luma, Veo 3.1, Kling), Music Studio with ElevenLabs and in-chat visualizer, 3D Model Studio with STL export (coming soon) Builder tools - Vision to Code, Web Architect, Game Engine, Code Lab with SQL Architect / Bug Buster / Git Guru and more Voice and audio - Real-time chat, Podcast Mode (two AI voices, downloadable MP3), Voiceover, Voice Notes, Voice Tuner Productivity - Slides, Docs, Pro Writer, Social tools, Business Suite, CV Creator, Daily Briefing, Market Watch Platform - 30+ live wallpapers, Custom Agents, Folder org, Smart search, Media Gallery, 26 languages + RTL, fully customizable UI Happy to answer questions about the WebRTC implementation or anything else. Would love to hear what you think of the voice visualization. submitted by /u/Beneficial-Cow-7408 [link] [comments]
View originalI built real-time 2-way voice chat into my AI platform using OpenAI WebRTC - free to try (1 min/month)
https://reddit.com/link/1sut0jp/video/f7wqfo9zi7xg1/player I've been building AskSary for the past few months - a multi-model AI platform - and just shipped real-time 2-way voice chat powered by OpenAI's WebRTC API. The visualization reacts to your voice in real time: 180 radial frequency bars orbit a glowing orb, 280 particles drift across a full-screen canvas, aurora sweeps and ripple waves emit on voice peaks, and the whole thing color-shifts from cool blue (listening) to warm violet (speaking). Near-zero latency, 8 voice options. Anyone with a free account at asksary.com gets 1 minute of real-time voice every month to try it out - no credit card needed. The platform also has a lot more built around it if you're curious: Models - GPT-5-Nano, GPT-5.2, GPT-5.2 Pro, O1 Reasoning, Claude Sonnet 4.6, Gemini 2.5 Flash, Gemini 3.1 Pro, Gemini Ultra, Grok 4, DeepSeek V3, DeepSeek R1 - with smart auto-routing or manual selection Memory and context - Persistent cross-model memory. Start on mobile with Claude, switch to GPT-5.2 on desktop and it already knows the conversation. Plus proactive personalization: on every login the chatbot reads your previous sessions and opens with a message asking if you want to continue - before you type anything. RAG - Upload docs up to 500 MB each, unlimited uploads, chat with them across any model via OpenAI Vector Store Generation - GPT-Image-1, Nano Banana Pro + Flux editor with visual history, Video Studio (Luma, Veo 3.1, Kling), Music Studio with ElevenLabs and in-chat visualizer, 3D Model Studio with STL export (coming soon) Builder tools - Vision to Code, Web Architect, Game Engine, Code Lab with SQL Architect / Bug Buster / Git Guru and more Voice and audio - Real-time chat, Podcast Mode (two AI voices, downloadable MP3), Voiceover, Voice Notes, Voice Tuner Productivity - Slides, Docs, Pro Writer, Social tools, Business Suite, CV Creator, Daily Briefing, Market Watch Platform - 30+ live wallpapers, Custom Agents, Folder org, Smart search, Media Gallery, 26 languages + RTL, fully customizable UI Happy to answer questions about the WebRTC implementation or anything else. Would love to hear what you think of the voice visualization. Free to try at asksary.com submitted by /u/Beneficial-Cow-7408 [link] [comments]
View originalImagen 4 Ultra vs Nano Banana Pro vs GPT Image 2.0 vs Flux.1 Krea vs Flux.2 Klein 9B Distilled
Prompt was: A charming, traditional half-timbered house with a weathered brown tiled roof, dark wooden beams, and green shutters stands idyllically on the grassy bank of a babbling stream. Lush green ivy climbs the white stucco walls. Beside the house, a meticulously kept lawn is bordered by a low, rustic stone retaining wall, featuring a cozy outdoor seating area with a wooden round table, woven chairs, and vibrant potted pink flowers. The shallow, clear stream rushes over smooth rocks in the foreground, creating small, dynamic white-water cascades. A dense, verdant forest of tall deciduous trees lines the gently sloping right bank. Bright, direct natural summer sunlight bathes the scene from high camera-left, creating deep, cool shadows under the forest canopy and crisp, high-contrast illumination on the house. The harsh, brilliant light strikes the flowing water, creating dazzling reflections and sparkling highlights on the ripples. The sky above is a vibrant, clear blue with a few faint wisps of white cloud. Style: Classic travel editorial landscape photography. Mood: Peaceful, pastoral, and deeply serene. Aspect ratio: 3:4. submitted by /u/ZootAllures9111 [link] [comments]
View originalGPT Image 2 generated an image with Gemini watermark
I just played a game with my kids telling it to generate random images from gibbrish, and one of them was this, never mentioned Gemini or Nano Banana submitted by /u/boynet2 [link] [comments]
View originalPricing found: $1200 /mo, $20
Key features include: Observability, Business Analytics, Automation API, Enterprise, Banana Delivery (SF Only).
Banana is commonly used for: Real-time AI model inference for web applications, Scaling GPU resources for machine learning model training, Cost-effective deployment of deep learning models in production, Automated scaling of AI workloads based on demand, Rapid prototyping and testing of AI applications, Seamless integration of AI services into existing infrastructure.
Banana integrates with: AWS Lambda, Google Cloud Functions, Azure Functions, Kubernetes, Docker, TensorFlow, PyTorch, FastAPI, Flask, Streamlit.
Based on 36 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.
The Verge AI
Publication at The Verge
3 mentions