LTX2.3 3.5 Series Suite | First Frame High Similarity Video

This is an AI video generation application based on LTX 2.3 PromptRelay storyboard prompts, high-similarity first-frame image-to-video generation, and three-stage HD enhancement.

Users only need to upload a reference image for the first frame, then input global video prompts and storyboard prompts, and the system will generate a continuous video based on this image.

Unlike ordinary text-to-video generation, this process does not create visuals entirely randomly from text but uses the uploaded first-frame image as the core visual reference. It strives to preserve the characters, scenes, composition, lighting, colors, and visual style of the first frame while generating subsequent actions, camera movements, and storyline changes based on the prompts and storyboard descriptions.

The entire process is completed automatically: first-frame reading, aspect ratio processing, global prompt reading, storyboard prompt reading, negative prompt constraints, PromptRelay video encoding, first-stage high-similarity generation, second-stage latent space amplification, third-stage lip-synced HD refinement, video decoding, audio processing, and final video output.

The final output is a video with a high similarity to the first frame, inheriting the visual foundation of the reference image while allowing storyboard prompts to control actions and camera changes.

It is suitable for applications such as animating character first frames, character short films, product first-frame videos, cinematic image-to-video generation, AI storyboard narratives, cover image-to-video transformation, concept ads, short video materials, and packaging for RunningHub video applications.

If packaged as a RunningHub application, the core selling point can be directly expressed as:

Upload a first-frame image, input storyboard prompts, and generate high-similarity cinematic videos with one click.