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3,499 results · Page 60 of 98

BananaAI

AI images

BananaAI is an AI image generation and editing tool based on the Nano Banana series of models. Users only need to describe their requirements in natural language to complete operations such as image generation, background removal, style transfer, text rendering, multi-image fusion, translation and localization, and 4K upscaling. It emphasizes the use of real-world knowledge, can generate educational visual content such as infographics and diagrams, and supports maintaining the identity consistency of up to 5 characters and 14 objects across multiple edits. It is suitable for scenarios such as personal photo processing, e-commerce product images, content creation, teaching materials, and work reports.

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Better Dating Photos

AI images

Better Dating Photos is an AI dating photo generator that transforms one clear selfie into profile photos suitable for dating apps such as Tinder, Bumble, and Hinge. It emphasizes a natural, realistic, and recognizable imaging style, avoiding an over-polished AI feel. After users upload one front-facing selfie and choose a style direction, they can generate multiple categories of photos, such as main image, outdoor, casual social, Smart Casual, and more, and selectively download them.

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BG Removal

AI images

BG Removal is a free online AI background removal tool that instantly erases photo backgrounds and generates transparent PNGs. It is based on the BRIA RMBG 2.0 model and can accurately recognize hair strands, fur, transparent objects, and complex edges without manual selection, with a processing time of about 3 seconds. Users only need to upload a photo, and the AI automatically removes the background, after which they can download a transparent PNG; white or other colored backgrounds are also supported. The tool is suitable for scenarios such as e-commerce product images, social media, marketing materials, ID photos, and creative design. It supports JPG, PNG, and WebP formats, supports batch processing, can preserve high resolution, and outputs finished products usable for commercial purposes. It is officially stated to be completely free, require no registration, and have no watermark, with good results for hairstyles, pet edges, multiple subjects, and detail preservation.

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Bhava

AI images

Bhava is an AI-powered online diagram editor that quickly transforms users' text descriptions or images into professional editable diagrams. It supports generating flowcharts, system architecture diagrams, UML, ERD, sequence diagrams, network topology diagrams, organizational charts, mind maps, hardware schematics, and many other types, and automatically recognizes icons for services such as AWS, GCP, Azure, and Kubernetes. Users can create diagrams by entering text, pasting sketches, or screenshots, and the generated diagrams support detailed editing of styles, layers, and grouping. Bhava offers multiple export formats such as SVG, PNG, and PDF, and also allows sharing editable links or importing Mermaid and draw.io files. The tool is mainly aimed at product managers, developers, and engineers, helping accelerate technical communication and decision-making.

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Block Poster Pro

AI images

Block Poster Pro is an online tool that converts any image into a printable tiled poster. Users upload an image, choose the paper and poster size, and then download a paginated PDF that can be printed page by page with an ordinary printer and assembled into a large-format poster. In the current MVP version, images are processed locally in the browser, supporting JPG, PNG, WebP, and GIF, up to 3MB. The tool also extends to PDF, TXT, Markdown, and DOCX document input, providing print controls such as page count preview, margins, overlap, crop marks, and row/column labels, making it suitable for scenarios such as classroom displays, event signage, and photo walls.

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Bonsivo

AI images

Bonsivo is an AI image tool for bonsai styling decisions. After users upload a bonsai photo and select a styling goal, the system generates four structure-aware future styling directions in about 90 seconds for users to compare, reference, and download. Its feature is that concepts are anchored to the root base, trunk movement, and major branch positions visible in the photo, and it provides single-image, comparison, and overview downloads, supporting before/after comparison and a four-panel overview. The tool offers one free low-resolution preview, with subsequent use paid through one-time credit packs, no subscription required, and credits expire 365 days after purchase. Bonsivo is positioned as a decision-assistance tool, not a prompt input box, emphasizing helping users judge the styling potential of real material before making irreversible pruning.

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Boogu-Image

AI images

Boogu-Image-0.1 is an Apache-2.0 open-source image generation and editing model family, including variants such as Base, Turbo, Edit, and Edit-Turbo, supporting text-to-image, fast generation, image editing, and Chinese and English text rendering. The project is positioned for research purposes, and the official statement explicitly states that it does not provide any paid API, subscription, or commercial service. Its training data scale is approximately one-tenth that of some existing open-source models, and under limited training compute it improves generation and editing performance by enhancing model understanding capability, data quality, and the training pipeline. The repository provides checkpoints and inference code, supports Python 3.10, CUDA 12.6, and PyTorch 2.7.1 environments, and has already added support for an NPU branch and vLLM-Omni inference service. The official team has also released the technical report arXiv:2607.13125 and the Boogu Arena preference evaluation leaderboard. The applicable resolutions are 1K, 1.5K, and 2K (Turbo only 1K), supporting multiple aspect ratios. The project has known limitations in areas such as world knowledge, image-to-image consistency, text rendering stability, human body structure in complex poses, and details of small faces and small limbs, and it has not open-sourced all training and system details, making it unsuitable for direct production deployment without additional safeguards.

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