HunyuanVideo Integrations

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Poe is an all-in-one platform that brings together the best AI models from across the industry into a single, easy-to-use interface. Users can chat with leading models like GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, and many others, as well as millions of custom bots created by the community. The platform supports image, video, and audio generation, AI-powered web search, and the ability to run multiple bots at once for deeper insights. Poe also lets users build their own bots, create applications, and sync their chats seamlessly across all devices. With new models added regularly—often on the day they're released—Poe keeps users on the cutting edge of AI innovation. It offers a generous free tier, with affordable plans for heavier usage starting at $4.99 per month.

Hugging Face is a leading platform for AI and machine learning, offering a vast hub for models, datasets, and tools for natural language processing (NLP) and beyond. The platform supports a wide range of applications, from text, image, and audio to 3D data analysis. Hugging Face fosters collaboration among researchers, developers, and companies by providing open-source tools like Transformers, Diffusers, and Tokenizers. It enables users to build, share, and access pre-trained models, accelerating AI development for a variety of industries.

fal is a serverless Python runtime that lets you scale your code in the cloud with no infra management. Build real-time AI applications with lightning-fast inference (under ~120ms). Check out some of the ready-to-use models, they have simple API endpoints ready for you to start your own AI-powered applications. Ship custom model endpoints with fine-grained control over idle timeout, max concurrency, and autoscaling. Use common models such as Stable Diffusion, Background Removal, ControlNet, and more as APIs. These models are kept warm for free. (Don't pay for cold starts) Join the discussion around our product and help shape the future of AI. Automatically scale up to hundreds of GPUs and scale down back to 0 GPUs when idle. Pay by the second only when your code is running. You can start using fal on any Python project by just importing fal and wrapping existing functions with the decorator.

HunyuanCustom is a multi-modal customized video generation framework that emphasizes subject consistency while supporting image, audio, video, and text conditions. Built upon HunyuanVideo, it introduces a text-image fusion module based on LLaVA for enhanced multi-modal understanding, along with an image ID enhancement module that leverages temporal concatenation to reinforce identity features across frames. To enable audio- and video-conditioned generation, it further proposes modality-specific condition injection mechanisms, an AudioNet module that achieves hierarchical alignment via spatial cross-attention, and a video-driven injection module that integrates latent-compressed conditional video through a patchify-based feature-alignment network. Extensive experiments on single- and multi-subject scenarios demonstrate that HunyuanCustom significantly outperforms state-of-the-art open and closed source methods in terms of ID consistency, realism, and text-video alignment.

WaveSpeedAI is a high-performance generative media platform built to dramatically accelerate image, video, and audio creation by combining cutting-edge multimodal models with an ultra-fast inference engine. It supports a wide array of creative workflows, from text-to-video and image-to-video to text-to-image, voice generation, and 3D asset creation, through a unified API designed for scale and speed. The platform integrates top-tier foundation models such as WAN 2.1/2.2, Seedream, FLUX, and HunyuanVideo, and provides streamlined access to a vast model library. Users benefit from blazing-fast generation times, real-time throughput, and enterprise-grade reliability while retaining high-quality output. WaveSpeedAI emphasises “fast, vast, efficient” performance; fast generation of creative assets, access to a wide-ranging set of state-of-the-art models, and cost-efficient execution without sacrificing quality.