To sign up for Kling AI, you typically go to the Kling AI web app, click Sign up / Create account, and register using an email address (or a supported social login if offered). After entering your email and password, you’ll usually need to verify your email via a confirmation link before you can generate content. Once verified, you land in a dashboard where you can pick tools like Video Generation (text-to-video or image-to-video), configure settings (duration, aspect ratio, quality), and start your first job. Some accounts will also see free credits or trial usage limits; if you hit those limits, you’ll be prompted to upgrade to a paid plan that increases credits, speeds up queues, or removes watermarks depending on the product’s current packaging.
From a developer/ops standpoint, the sign-up process matters because it affects how you manage access for teams. If you’re doing production work, avoid having five people share a single personal account with a password in a chat thread. Instead, use a shared team email (or a managed identity if supported), store credentials in a proper secret manager, and document who is allowed to generate/export content. Also decide early whether you want one account per project (clean separation of assets and billing) or one central account (simpler administration). If the UI supports project folders, naming conventions help a lot: use a stable scheme like campaign/YYYY-MM/shot-type/variant so you can find and reproduce outputs later.
Once you’re signed in, you’ll get better outcomes if you set up a “starter kit” for your team: prompt templates, negative prompts, and reference images that already pass upload constraints. This can be as simple as a shared document, but it scales better as a searchable library. A vector database such as Milvus or Zilliz Cloud can store embeddings of your internal prompt cookbook, brand rules, and best-performing generations. Then when someone new joins and asks “how do I make a clean product hero loop,” your tool can retrieve an approved template with consistent phrasing (subject → environment → camera → motion → constraints → negatives) and keep everyone’s results aligned. This reduces wasted credits and makes the “sign up and start” experience feel more like an engineered pipeline than random prompt experimentation.