No filming:An AI avatar or clone yourself

    AI Model Breakdowns — page 2

    What each generation model is good at: Sora, VEO, Kling, Flux, Midjourney, ElevenLabs and the rest, with real output and real limits.

    Page 2 of 6

    Veo 3.1 still wins always-on audio

    Eleventh on some Elo boards and still the pick when audio cannot be optional. Official 4K tier. Timestamp-block prompting is Google's multi-shot method.

    6 min read

    Picking the chat model behind the agent

    The chat model plans; the generate model renders. Change chat_model to pick the brain, and pin generate models separately when the clip has to match.

    7 min read

    Reve 2.1 leads the image editing board

    Reve 2.1 holds first on Artificial Analysis image editing at 1262 Elo. What an editing score actually measures, and how to turn a rank into a revision workflow.

    8 min read

    Reve 2.1 makes 4K without an upscale pass

    Reve 2.1 generates natively at 16 megapixels. Where that deletes an upscale step from a print or thumbnail pipeline, and where a dedicated upscaler still wins.

    8 min read

    Spec-sheet claims that don't survive testing

    Six spec numbers that promise more than they deliver: max duration, resolution, reference count, fps, native audio, multi-shot, and one test to run on each.

    9 min read

    Which video models speak more than English

    Native audio is a capability flag, not a language list. A one-generation test for any model, and the rule for generating natively versus dubbing after.

    8 min read

    Why Flux ignores your negative prompt

    Flux ignores your negative prompt because the family has no CFG channel. The field is decorative; describe what you want instead.

    9 min read