SuperAPI AI Directory

All AI tools

35,738 results · Page 564 of 993

Bonsai

Other AI tools

Bonsai is a business, project, and billing management solution for service-based businesses, and is officially stated to be used by more than 500,000 small businesses worldwide. It is positioned as a unified platform for service-based businesses, helping to organize client workflows, deliver projects on time and on budget, and track revenue and simplify billing. The materials mention that it can bring everything together in one place to work more efficiently, works with the tools users already use, and supports every member of the team, with a 30-second start.

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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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Book-of-MLM

AI developer platforms

Supporting teaching resources for "Multimodal Large Language Models: A New Paradigm of Artificial Intelligence Technology," open-sourced and maintained by HCP-Lab at Sun Yat-sen University on GitHub. The book systematically introduces the key technologies, foundation models, and typical applications of multimodal large models. The book has 5 chapters in total, covering large model architectures, core multimodal technologies, representative multimodal large models, visual question answering/AIGC/embodied intelligence applications, and frontier discussions toward artificial general intelligence (causal reasoning, world models, embodied intelligence, and multi-agent systems, etc.). The resource repository provides undergraduate teaching courseware from the School of Computer Science and Engineering at Sun Yat-sen University, with 12 lectures in total, and has been used as teaching PPTs by more than ten universities including Tongji University, Chongqing University, Northwestern Polytechnical University, and Shandong University. This book has been selected for the Sun Yat-sen University undergraduate textbook series. It is suitable as a reference for senior undergraduates, graduate students, and IT practitioners at universities, and can accommodate teaching arrangements of 32 to 56 class hours.

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Bookimagic: Create Print-Ready Children’s Picture Books in Minutes!

AI writing

Historical third-party summary: Historical records describe Bookimagic as a platform for creating children's books by organizing story text, illustrations, characters and personalized details for parents, educators or creators. One third-party directory marks it discontinued; this status has not been confirmed from an official original. This summary records its historical purpose without promising current signup, generation, printing or publication, and omits old price and timing claims.

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