Find visual AI by what you want to make.

An installable skill for AI assistants that searches a regularly updated library of 10,000+ community image prompts, returns a small set of matching examples with sample images, and can adapt a chosen template to a specific brief.

A prompt-as-code library for GPT Image 2 with a categorized case gallery, reusable visual prompt templates, a live browsing site, and an installable agent skill for turning image ideas into structured prompts.

A 10B research model family for text-to-image generation and instruction-based image editing, with Base, Turbo, Edit, and Edit-Turbo checkpoints, bilingual Chinese-English text rendering, local inference code, and public demos.

A framework for co-generating 3D human motion and realistic videos, with a focus on motion-conditioned video generation and training workflows.

The FastVideo realtime video generation and editing platform, with backend and web UI setup, local GPU, B200, Docker, Modal, readiness checks, and mock-backend workflows.

A local image-generation interface built around prompt-focused SDXL workflows, with Windows downloads, Colab access, inpainting, outpainting, image prompts, and presets.

A Krea AI open-weight text-to-image model family with an undistilled Raw checkpoint for fine-tuning and LoRA training, an eight-step Turbo checkpoint for inference, official local code, Diffusers, SGLang, ComfyUI, hosted routes, and the Krea 2 Community License.

A community-made distillation LoRA that runs Krea 2 Turbo in four generation steps, with Diffusers weights, a stock ComfyUI workflow, rolling numbered checkpoints, and an independent Hugging Face demo.

A ByteDance Research unified multimodal model for image and video understanding, generation, and editing, with model files, demos, inference scripts, Gradio setup, benchmark scripts, and a stated 40GB VRAM inference requirement.

A Meituan LongCat audio-driven avatar video model for single- and multi-person generation, with audio-text-to-video, audio-image-text-to-video, video continuation, model weights, GitHub quickstart, and project-reported evaluation materials.

An NVIDIA Labs infrastructure codebase for long video generation, with LongLive 2.0 NVFP4 and FP8 inference paths, parallel training and inference, multi-shot and image-to-video support, async decoding, LongLive-RAG, model links, docs, and configs.

A Lightricks audio-video model family with gated component weights, synchronized sound, text-to-video, image-to-video, multishot generation, local Python and ComfyUI paths, fine-tuning tools, and a separate hosted API.

A MiniMax audio-video generation system with public H3-Base weights for text, image, video, and audio reference workflows, native stereo output, 4-to-15-second clips, local 768p generation, a hybrid 2K path, and a direct hosted API.

A LightX2V community LoRA project that distills MiniMax H3 into four- and eight-step video-with-audio workflows, with Diffusers and ComfyUI checkpoints, single- and multi-GPU inference code, and a 768p four-step option.

A portrait image-animation framework for live-streaming-style video generation research, with offline and online inference, pretrained weights, a Web UI, and acceleration notes.

An NVIDIA Labs codebase for efficient high-resolution image and video generation, with Sana, Sana-1.5, Sana-Sprint, Sana-Video, Sana-WM world-model work, training and inference pipelines, model zoo links, and ComfyUI and diffusers paths.

An agentic video-generation framework for turning ideas, scripts, or longer narratives into planned video workflows, with a project-based web interface, interactive agent loop and terminal UI, storyboards, shot planning, previews, render checkpoints, and configurable model providers.

A music-to-dance video model and framework that uses a reference image, a full music track, and a dance-style prompt, with separate global keyframe planning and local refinement stages for longer outputs.

A framework for generating animatable 3D assets from a single image, with mesh, skeleton, and skinning outputs for downstream animation and simulation workflows.

Generates real-world locations inside Minecraft with a surprisingly high level of detail.

An NVIDIA kinematic motion diffusion model for generating human and humanoid-robot motion from text plus pose, joint, waypoint, and path constraints, with local inference, a timeline demo, motion exports, official docs, and benchmark materials.

A feed-forward 3D foundation model for streaming scene reconstruction, positioned around geometric consistency, long sequences, and efficient real-time inference.

A series of generative 3D world models from NVIDIA, positioned around explorable scenes, 3D consistency, and world-scale generation workflows.

A Microsoft 3D generation model for high-fidelity image-to-3D asset creation, using O-Voxel structured latents, PBR materials, inference code, and training tools.

An agent skill and deterministic Node.js renderer for validated architecture, workflow, sequence, data-flow, and lifecycle maps, with typed JSON source, interactive tracing, and portable HTML, image, and motion exports.

A browser-based multi-track video editor with local workspace files, on-device transcription and captions, scene analysis, local voice and music tools, effects, subtitles, and in-browser export through modern Chromium APIs.

A local agentic HTML editor that uses existing coding-agent CLI sessions to turn Markdown, data, and notes into exportable HTML, PNGs, decks, social cards, data reports, and web prototypes with skill templates and sandboxed preview.

A local-first AI design workspace that connects coding-agent CLIs to prototypes, decks, media outputs, design systems, sandboxed previews, and export workflows.

An open-source collaborative design platform with an official MCP server that lets AI agents inspect and modify Penpot files, components, tokens, styles, layouts, and assets through hosted or local connection paths.

A searchable UI and UX knowledge skill for AI coding assistants, with design-system generation, product-specific style and palette guidance, stack-aware implementation notes, and pre-delivery checks.