Generative Video & Image Tools covers the growing overlap between image-generation features that live inside design apps (ex: Figma’s new AI image tools) and purpose-built creative video platforms such as Runway, InVideo, Pictory.ai and others. The topic explores how designers, marketers, and video creators are using in‑app image synthesis, prompt‑driven templates, node‑based editing, and text‑to‑video pipelines to prototype, produce, and localize short‑form content more quickly. Why this matters now: by late 2025, model and infrastructure advances have pushed real‑time image editing, multi‑step video workflows, and higher‑fidelity generative clips into mainstream tools. Platforms like Runway emphasize node‑based Workflows and developer APIs for chaining effects; InVideo, Pictory.ai, Fliki, and Zebracat focus on rapid, template‑driven creation for social formats; VideoIdeas.ai accelerates ideation and scripting; LingoSync handles automated translation/dubbing; DeepfakesWeb highlights both accessibility and risks of face‑swap tech. Gracia AI and dedicated image generators compete on image quality, style control, and integration with existing design pipelines. Key considerations for users include workflow fit (in‑design generation vs standalone studio), output fidelity, API and automation support, localization and voice/dubbing, and safety/provenance (watermarking, consent, misuse mitigation). The landscape is moving from isolated image or clip generation toward integrated, end‑to‑end content stacks that combine ideation, generation, editing, and distribution — making tool choice increasingly about orchestration and governance as much as raw model quality.