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Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion WebUI (based on Gradio) to make development easier, optimize resource management, and speed up inference. https://github.com/Panchovix/stable-diffusion-webui-reForge

User-friendly WebUI for LLMs, supported LLM runners include Ollama and OpenAI-compatible APIs https://github.com/open-webui/open-webui

Fast Image generator using Latent consistency models https://replicate.com/blog/run-latent-consistency-model-on-mac

moondream1 is a tiny (1.6B parameter) vision language model trained by @vikhyatk that performs on par with models twice its size. It is trained on the LLaVa training dataset, and initialized with SigLIP as the vision tower and Phi-1.5 as the text encoder. https://huggingface.co/spaces/vikhyatk/moondream1

[NVIDIA ONLY] Stable Video Diffusion Streamlit App. Currently supports Nvidia GPU machines only.

Drag & drop UI to build your customized LLM flow: https://github.com/FlowiseAI/Flowise

an open vision-language model by Google. PaliGemma is designed as a versatile model for transfer to a wide range of vision-language tasks such as image and short video caption, visual question answering, text reading, object detection and object segmentation https://huggingface.co/spaces/google/paligemma

Generative AI for Professional Creatives

SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions. https://github.com/halr9000/sdxs

A Gradio UI for XTTSv2 and RVC, allowing for real-time voice conversion.

Declaratively define and modify agents and multi-agent workflows through a point and click, drag and drop interface (e.g., you can select the parameters of two agents that will communicate to solve your task).

Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion WebUI (based on Gradio) to make development easier, optimize resource management, and speed up inference. https://github.com/lllyasviel/stable-diffusion-webui-forge?tab=readme-ov-file

Simple script examples that highlight all the Pinokio APIs

moondream1 is a tiny (1.6B parameter) vision language model trained by @vikhyatk that performs on par with models twice its size. It is trained on the LLaVa training dataset, and initialized with SigLIP as the vision tower and Phi-1.5 as the text encoder. https://huggingface.co/spaces/vikhyatk/moondream1

Massively Multilingual Speech (MMS): Persian Text-to-Speech

Unlock the new experience of Housing App Android Setup with Automation using Pinokio

A Real-Time Text-to-Image Generation Model

Convert your videos to densepose and use it on MagicAnimate https://github.com/Flode-Labs/vid2densepose