Vertical creator short
Use 9:16, a tighter crop, and a more casual creator expression.
Avatar prompt
Use this talking avatar recipe to build a Wan AI AI video prompt with subject, action, camera, lighting, style, and constraints.
Create a coherent 8 seconds AI video in 9:16: a professional presenter in a simple dark blazer speaking calmly with subtle head movement and natural blinking in a clean studio background with a soft depth-of-field backdrop. Use locked medium close-up at eye level, soft key light with gentle fill and natural skin tone, and talking avatar video, realistic presenter, clear facial consistency. Maintain subject consistency, stable scene continuity, and believable motion; avoid lip-sync mismatch, exaggerated mouth movement, drifting identity, frozen eyes, extra teeth.
Define the presenter with stable visible traits such as clothing, posture, age range, and expression.
Use calm speaking motion, subtle gestures, and natural blinking instead of broad dramatic performance.
Keep the background simple so the viewer focuses on the face and message.
Locked medium close-up framing helps facial consistency and reduces body distortion.
Soft lighting and natural skin tone language are important for believable talking-head clips.
Use presenter, spokesperson, explainer, or creator terms depending on the intended channel.
Talking-avatar prompts need explicit constraints for mouth motion, eyes, teeth, and identity drift.
Use 9:16, a tighter crop, and a more casual creator expression.
Use neutral studio lighting, formal clothing, and minimal gestures.
Add a product on a side table or subtle brand-colored backdrop while keeping face motion simple.
A locked camera reduces competing motion. That makes it easier to judge face, gaze, mouth movement, and identity consistency.
For a visual prompt, keep the script short or describe the speaking beat. Exact narration and lip sync usually depend on the model interface or editing workflow.
Mouth shapes, teeth, eyes, face identity, and shoulder motion are common weak spots, so the negative prompt should name them directly.
Independent prompt drafting aid. Verify final prompts inside the current model interface.