Loric.ai

Loric.ai is a production-oriented AI filmmaking workspace that bundles top video and image models (Veo 3.1, Kling 3.0, Seedance 2.0, Nano Banana Pro and others) with Codex entries, a scene library, LoRA training and prompt storage so characters and style stay consistent across a whole project.

Loric.ai is an AI filmmaking workspace built around the idea that a film is a continuous project, not a pile of disconnected generations. Instead of prompting one clip at a time in separate tools, the platform organizes characters, locations, objects and visual anchors as reusable Codex entries, then references them across scenes so the look and cast stay recognizable from shot to shot. Scenes can be built from beats, dialogue, actions and media references, giving the project a working structure that later generations draw on. A bundled model catalog sits at the center of the workflow: Veo 3.1 for cinematic footage, Kling 3.0 for directed camera movement, Seedance 2.0 as a flagship, plus GPT Image 2, Nano Banana Pro, LTX, Luma Dream Machine, Wan and Flux 2 Klein for image work and concepting. The pitch is that switching between image and video models does not require rebuilding the shot; the prompt stays in place and project entries remain clickable so they can be applied to whichever model is active. A prompt library stores the constraints and style systems that keep a project coherent, and LoRA training lives inside the same workspace rather than a separate lab. Around generation, Loric bundles finishing tools: reference-aware image edits, a Comp Maker for assembling shots into a timed sequence, and an upscaler for enlarging frames for review, pitch decks or delivery prep without exporting elsewhere. Control options include lip sync, motion and camera moves, modular prompts, audio and aspect ratio settings, shot timing, style transfer and scene memory. The tool suits short film makers, directors and small production teams who want long-format consistency without stitching several subscriptions together. Beginners may still need to learn prompt structure and model behavior, but the interface assumes a production mindset rather than a one-off image generator. Pricing is compute-based, so heavier premium model usage costs more, and the yearly billing toggle sits alongside the monthly rates.