Parlor
fikrikarim
On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.
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Results: 10
fikrikarim
On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.
pexoai
Expert prompt engineering for Seedance 2.0. Use when the user wants to generate a video with multimodal assets (images, videos, audio) and needs the best possible prompt.
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
xorbitsai
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all throug…
Eventual-Inc
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
hkchengrex
[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
lhotse-speech
Tools for handling multimodal data in machine learning projects.
Tencent-Hunyuan
HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation
jaketae
Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech
veniceai
Call POST /chat/completions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, E2EE, characters, thinking control, X searc…