SuperAPI AI Directory

All AI tools

35,738 results · Page 766 of 993

MiniLLaMA3

AI developer platforms

MiniLLaMA3 is a mini version project of LLaMA3, aimed at providing a complete training pipeline for a large language model from zero to one. The project covers stages such as constructing data, training the tokenizer, pretraining (PT), supervised fine-tuning (SFT), and direct preference optimization (DPO), helping developers understand and practice the entire process of large model training. The project is hosted on GitHub and is suitable for learning and research purposes.

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MiniMax H3

AI video

MiniMax H3 (i.e., Hailuo 3.0) is a 33-billion-parameter dense omni-modal model released by MiniMax on July 31, 2026, supporting the simultaneous production of visuals and sound in a single generation. It treats text, images, video, and audio as a single context, generates 4- to 15-second video at 24 FPS, and natively outputs 32 kHz stereo. Local deployment reaches 768 pixels on the short side, and up to 2K via a hosted regeneration stage. The model offers three usage paths: a consumer-grade application, a per-second-billed open platform API (model ID MiniMax-H3), and downloadable weights. Its community license excludes the United States, the European Union, the United Kingdom, and South Korea; commercial use requires visible attribution, distillation is prohibited, and high-revenue institutions require written authorization.

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MiniMax H3

AI video

MiniMax H3 is an online AI video generator offering two modes, text-to-video and image-to-video, which can be completed in the same workspace. Users can generate short videos of 5 to 15 seconds by describing a scene in text or uploading a starting image, suitable for purposes such as product showcases, social media content, and story clips. The tool supports selecting different models such as MiniMax H3, H3 Max, and H3 Max Turbo, and allows adjustment of resolution, duration, and aspect ratio. In image-to-video mode, an optional end frame can also be uploaded to guide the video's final composition. Generating videos consumes credits; the platform offers paid plans and credit packs, and registering an account does not require binding a credit card.

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MiniMax H3 AI Video Generator

AI video

MiniMax H3 (also known as Hailuo 3) is an online AI video generation and multimodal video editing tool that can generate 4-15 second clips in native 2K resolution with stereo sound, and supports local modifications to existing videos through text descriptions. The platform integrates multiple mainstream AI video models into a single workspace, offering text-to-video, image-to-video, reference-to-video, AI image generation, image-to-image, AI photo editing, as well as tools for video erasing, extending, upscaling, reframing, background removal, and more.

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MiniMax H3 AI Video Generator

AI video

MiniMax H3 AI Video Generator is an online AI video generation workspace that supports text-to-video and image-to-video, and can generate video clips with native audio, 2K resolution, and camera control. It emphasizes character consistency, natural motion, and audio-visual synchronization, making it suitable for product demos, storyboards, social ads, and short-form video content creation. Users can describe the scene, action, camera, and sound through prompts, or upload a reference image to add motion, then select duration, aspect ratio, and resolution to generate and download an MP4.

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minimi

Other AI tools

minimi is a personal context and commitment management tool for Mac. Its official website says that, in the form of an "AI cat," it helps you capture personal context, discover and automatically close "open loops," and ensure you no longer miss commitments. It claims to work out of the box without any integrations, can automatically discover high-value action items and track decisions, complete closed loops, and support staying focused while frequently switching tasks. Regarding privacy, the official website emphasizes that data is stored only locally on your Mac, not on its servers, and is not used for training; it reads screen content through Apple's accessibility infrastructure rather than screenshots. minimi also provides minimi MCP, which can connect personal memory to LLMs such as Claude, ChatGPT, and Gemini, as well as tools such as OpenClaw and Hermes. The official page provides a download entry for the Mac version, but does not state the specific price, subscription method, supported system versions, or whether versions for other platforms are available.

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minimind-o

AI developer platforms

MiniMind-O is an open-source project that implements a small-scale end-to-end Omni model from scratch. A single set of weights simultaneously supports text, speech, and image trimodal input and text and streaming speech output. Among these, minimind-3o has only about 0.1B parameters, can be trained on an ordinary personal GPU, and can perform fast inference on a CPU. The project open-sources two training datasets, mini and full. The mini dataset can run through the complete pipeline in about 2 hours on a single RTX 3090. The core algorithms are all implemented natively in PyTorch, without relying on high-level abstractions from third-party frameworks, and are accompanied by a complete technical report covering the Thinker–Talker dual path, streaming speech generation, real-time interruption, approximate duplex interaction, voice cloning, and the telephone mode WebUI.

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minWM

AI video

minWM is a full-stack open-source framework and tutorial for real-time interactive world models, released by shengshu-ai. It is not a specific model, but a complete end-to-end pipeline that guides developers in transforming a bidirectional T2V (text-to-video) base model into an action-conditioned video world model. The project provides example data, runnable scripts, Claude Skills that record practical experience, and introductory knowledge for newcomers. It supports two backbone lines, HunyuanVideo 1.5 and Wan 2.1, covering the entire pipeline of data preparation, encoding, training, and inference, and open-sources FSDP and sequence parallelism, as well as a distillation pipeline from a bidirectional diffusion model to a 4-step autoregressive student model.

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