LTX2.3 Suite 3.5 First-Frame Consistent Video

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

Users only need to upload a reference first-frame image and input global video prompts and shot prompts. The system will generate a continuous video based on this image.

Unlike ordinary text-to-video processes, this workflow does not generate visuals completely randomly from text. Instead, it uses the first-frame image uploaded by the user as the core visual reference. It strives to maintain the characters, scenes, composition, lighting, colors, and visual style of the first frame while generating subsequent actions, camera movements, and plot changes based on the prompts and shot descriptions.

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

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

It is suitable for use in animating first-frame portraits, character short films, product first-frame videos, cinematic image-to-video transformations, AI storyline shot planning, cover-to-video conversions, concept ads, short video materials, and RunningHub video application packaging.

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

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