Tag

Veo

Generates cinematic video from text and image prompts, with newer versions adding native audio and tighter creative controls. It is built for high-fidelity clips that can move from quick Gemini experiments to API and Flow workflows.

Hailuo AI

Turns text prompts or still photos into short video clips via effect templates (dance, skydiving, character morphing) plus image-to-video animation. Adds synced AI voiceover and music; Hailuo 2.3 targets stable physics and micro-expressions.

Seedance

Generates 1080p videos from text or images, with native multi-shot storytelling that keeps subjects, style, and atmosphere consistent across cuts. Ranked first on Artificial Analysis T2V and I2V leaderboards, ahead of Veo 3 and Kling 2.0.

Runway

Turns text, images, and source footage into AI-generated video and world-model outputs. Its edge is the bridge between browser tools, research models, and production workflows for creative teams.

AI Toolkit

Trains and fine-tunes diffusion models on consumer GPUs: LoRA and LoKr for image families like FLUX.1/2, SDXL and Qwen-Image, plus video models such as Wan 2.x and LTX. Layer-specific targeting, configurable VRAM, and a browser dashboard for runs.

KlingAI

Generates videos and images from text or reference images, with model updates aimed at higher motion realism and creator-friendly controls. Best for fast concept clips, ads, and social assets rather than fully predictable production footage.

Reddit Video Maker Bot 🎥

Generate short social videos from Reddit threads in one command — captures post content, assembles visuals and optional TTS narration, and outputs an upload-ready MP4. Runs locally with Python + Playwright; does not auto-upload for safety.

SadTalker

Generate a lip-synced talking-head video from a single portrait image and an audio clip using learned 3D motion coefficients for realistic expression and head motion. Offers still/reference modes, Colab/HuggingFace demos, and an Apache-2.0 license.

X-AnyLabeling

X-AnyLabeling is a powerful annotation tool integrated with an AI engine for fast and automatic labeling. Designed for multi-modal data engineers, it offers industrial-grade solutions for complex tasks. Supports images and videos, GPU acceleration, custom models, one-click inference for all task images, and import/export formats like COCO, VOC, YOLO. Handles classification, detection, segmentation, captioning, rotation, tracking, estimation, OCR, VQA, grounding, etc., with various annotation styles including polygons, rectangles, rotated boxes.

Comfy.org

Create and run node-based generative AI workflows for images, video, 3D, and audio — reusable, shareable node graphs with custom nodes, live previews, and local/cloud runtime options. Open-source with Comfy Cloud and Hub for creators.

Open Generative AI

Provides an uncensored, self‑hostable studio for generating AI images, videos, and lip‑synced talking videos in browser or desktop. Integrates 200+ models via Muapi.ai, supports local inference (stable-diffusion.cpp), multi-image inputs and workflow automation — no content filters.

Generative Models by Stability AI

Reference implementation for Stability AI's diffusion models: SDXL base/refiner/Turbo for text-to-image, plus Stable Video Diffusion, SV3D, and SV4D for image-to-video and 4D synthesis. A modular engine separates samplers, guiders, and conditioners.