Tag: AI

  • Using AI for hyper specific footage

    Using AI for hyper specific footage

    Stock footage is a necessary evil. You either spend hours hunting for the exact clip of a specific action, or you compromise and use something just close enough that it physically hurts to look at. AI has thankfully changed that.

    We are no longer just generating random, trippy fever dreams. Using tools like ComfyUI, Minimax H3, and LTX Video, we can hyper-speed concepts and build our own bespoke stock libraries. The real power here isn’t just saving the budget—it is the ability to generate hyper-specific, perfectly lit B-roll that actually matches your project’s aesthetic.

    The secret is understanding which tool handles which job. If you need rapid, low-latency iteration to test a camera move or animation idea, LTX-2 excels at fast prototyping. If you need to lock in a specific character or product identity while dictating exact hand trajectories, Minimax H3 allows for explicit reference control—meaning you can tell it to preserve a jacket’s texture but completely ignore the original lighting. And if you need absolute granular control over the whole pipeline, tying in depth maps or edge control to keep things consistent, you build the workflow in ComfyUI.

    Instead of writing vague prompts and hoping the AI reads your mind, you have to direct the model. That means breaking down prompts into strict formulas: defining the camera motion, separating the subject’s identity from the physical action, and describing movements as trajectories rather than just simple verbs.

    I will cover LTX 2.5 Distilled in this post, and cover other models in my next posts to avoid this becoming too long of a post/heavy video content wise.

    LTX 2.5 Distilled

    Workflow & Technical Notes
    LTX 2.5 Distilled is insanely fast when compared to other current models being used on single GPU setups. Taking just shy of a few minutes to get a 720p and up to 20 seconds render.
    (4090 + 64GB ram)

    The prompt: “Live-action imagery. The Vibe: ASMR calmness interrupted by impossible scale. The Scene: A photorealistic slice of Brighton pebble beach at dusk. The waves are rolling over the stones. A monolithic, gravity-defying gigantic, matte-black rubber duck suddenly breaches the water, causing a huge wave that spalshes towards the camera as the video ends.
    Audio: ASMR calmness suddenly interupted by giant rubber duck breaching water”

    The prompt: “ASMR style video loop. Contrast classical architecture with brutalist tech, a gothic style interior with a sterile, glass-enclosed server rack directly in the center of the very large room. The video is composed to create a seamless loop with matching start and end states.”

    The prompt: “ASMR style video loop. Contrast classical architecture with brutalist tech, a gothic style interior with a sterile, glass-enclosed server rack directly in the center of the very large room. The video is composed to create a seamless loop with matching start and end states.”

    The prompt: “A eerie, ground-level ASMR shot from a static perspective, looking down a perfectly manicured but infinite suburban street at artificial twilight. The highly detailed houses are real except that every front door is pencil-thin and unusable. Above each door is only one window: a continuous, weirdly long horizontal slit. The environment recedes into a recursive loop.”

    If your goal is to create a seamless, static camera loop—such as a cozy lo-fi background, a subtle cinemagraph, or a calm landscape where only the trees move—LTX will usually fail. As you can see from the examples above. While we still got great content, it failed to make it loop or remain static.

    The “Forward Motion” Bias

    Because LTX is trained to prioritize momentum and high-action generation, it struggles to comprehend absolute stillness. When you prompt it for a static shot, the model tends to do one of two things:

    1. Ignore the prompt: It will inject unwanted camera drift, slowly zooming or panning anyway.
    2. Artifacting: If forced to keep the camera completely still, the generation often degrades, introducing strange warping or morphing artifacts as it tries to resolve its internal urge to create motion.

    More LTX 2.5 generations