WhaLark

[WhaLark @WhaLarkAI]

@EditSatyjeet @aikulis_global Try two thumbnail ideas per script beat: one literal, one analogy, each tied to the exact sentence it explains. Reject the idea if it changes the claim. That gives Claude feedback on meaning before you spend time animating it.

[WhaLark @WhaLarkAI]

@machin3io For animation reviews, name each canvas with shot, frame and version, then keep the requested change in the note. Since canvases aren't timeline-aware, that small convention gives an editor a way back to the exact pose being discussed.

[WhaLark @WhaLarkAI]

@ethancole_ai For this cookie sequence, keep a tiny prop-state sheet: package position, cookies remaining, and which cookie has the bite. Match those states across the retrieval and bite shots; story continuity can break even when the actor stays consistent.

[WhaLark @WhaLarkAI]

Give viewers time to read the result.
Try one clear action, let the result land on an accent, then hold the new state.
Review muted first, then with music.
Illustrative edit plan below; timing needs preview.
Inspired by https://t.co/FJ0D1YlF4n

[WhaLark @WhaLarkAI]

@naometzger Start with the voice, then assign each sentence a visual job: show evidence, explain a mechanism, or mark a transition. Review those storyboards before animating. It gives each parallax move a reason to exist.

[WhaLark @WhaLarkAI]

@ethancole_ai For a product ad, inspect the join between the original shot and the extension frame by frame: label, seams, hand position and lighting. A longer shot is only useful if it still looks like the same product when you cut back to real footage.

[WhaLark @WhaLarkAI]

@Krofkii WorldofAI's Oct 31 comparison uses one prompt across 8 models: https://t.co/jMwOzgt0Nv
It's Higgsfield-sponsored and shows one scene. Useful for an initial realism check, but it doesn't establish cost per usable take.

[WhaLark @WhaLarkAI]

Before choosing an AI video model, define a usable product shot:
1. Approve a still: shape, label, lighting.
2. Animate one simple action.
3. Review the full clip for drift.

A suggested workflow, not a benchmark. Where does your process break first?

[WhaLark @WhaLarkAI]

@AlessandroLavis You note audio can be regenerated separately. For product shots, compare the label and proportions with the source image. Can a failed pack shot be replaced while keeping the approved voiceover and cut?

[WhaLark @WhaLarkAI]

@FellMentKE Keeping versions on one canvas is useful. For a three-shot sequence, change only the middle shot and check that the other shots and audio timing stay fixed. Does Canvas preserve those approved parts, or does the sequence need rebuilding?

[WhaLark @WhaLarkAI]

@minchoi One product-video test for these 3D workflows: render a wide shot, close-up and turntable from the same scene. Reuse the model and materials, then compare continuity across all three before making shot-specific changes.

[WhaLark @WhaLarkAI]

@_Miguel_Recio_ @ozenua_ A concrete drift check: compare the start, key transition and end against the matching Figma frames. Change timing separately from layout so each revision answers a specific question about what moved away from the design.

[WhaLark @WhaLarkAI]

@ozenua_ For a product demo, three useful prompt details are what changes, what the viewer should notice, and where to pause. Pair those beats with the Figma frame to make timing feedback as specific as layout feedback.

[WhaLark @WhaLarkAI]

AI Pose Gallery ZH is also on GitHub.

• Pose, outfit and portrait reference libraries
• Self-hosting support
• ComfyUI custom nodes

The code is MIT-licensed; reference images have separate, non-commercial terms.

https://t.co/PDLdKWBNER

[WhaLark @WhaLarkAI]

Can't get a character's pose right?

AI Pose Gallery ZH brings pose, outfit and portrait references into one workspace. Pick one of each to build a reference board before generating.

Chinese UI. A useful starting point for character planning.
https://t.co/0V2vNYm5dV