What the tool does
AI Video Generation takes your reference image and synthesizes a short clip that preserves the subject and general styling while adding motion, camera moves, and subtle scene dynamics. It’s designed for Reels/Shorts/TikTok intros, product loops, and quick story beats. Every result can be handed off to the rest of ZenCreator.
Model choices & when to use which
WAN — “full freedom”
Duration: 5 s
Best for: maximum creative freedom and fewer content filters; bold looks, stylized motion, exploratory shots.
Strengths: punchy detail, strong adherence to your reference image, good at dramatic camera moves and moody grading.
Trade-offs: less conservative filtering means you should keep prompts precise; anatomy and small details can drift if you push extremes.
Kling 1.6 — “fast & reliable”
Duration options: 5 s or 10 s
Best for: quick results, straightforward motion (push-in, slight parallax), social teasers that need to render fast.
Strengths: clean edges, stable skin/fabric, predictable output; great as a workhorse for batches.
Trade-offs: motion is simpler than 2.1; fine textures can look a bit flatter on 10-second clips.
Kling 2.1 — “sharp, smooth, realistic”
Duration options: 5 s or 10 s
Best for: the most realistic look we offer today; beauty, fashion, product hero shots, and anything where polish matters.
Strengths: improved shading, smoother motion, better micro-detail preservation vs. 1.6.
Trade-offs: slightly slower than 1.6; stay moderate with wild prompts to avoid over-processing.
Quick pick:
Need the cleanest and most realistic result → Kling 2.1.
Need speed for many clips (5s/10s) → Kling 1.6.
Want looser/edgier looks with fewer guardrails → WAN (5s).
Interface tour
Upload Reference Image — drop 1–100 images; each file renders its own clip. Use sharp, well-lit inputs.
Model — WAN, Kling 1.6, Kling 2.1.
Prompt (optional) — describe motion and vibe: “slow push-in, hair moving gently, soft wind, cinematic grade.”
Negative Prompt (optional) — ban artifacts: “warped hands, heavy blur, oversharpened, flicker.”
Duration — 5 s for all models; 10 s available for Kling 1.6 / 2.1.
Comment (optional) — a name for the task or notes for teammates.
Generate Videos — starts the batch; you’ll see per-clip status and can open results.
Quick start
Upload a clean image (or a small batch).
Pick Kling 2.1 for highest realism (or Kling 1.6 for speed, WAN for freer looks).
Set 5s (try 10s on Kling if you want longer movement).
Add a short prompt and a tight negative.
Generate, review, then send winners to downstream tools (upscale frames, face-swap last, publish).
Prompting tips for video
Focus on motion and camera: “gentle parallax, slow dolly-in, subtle hair flutter, cloth ripple, soft depth-of-field.”
Keep it one idea per clip. If you want multiple motions, render separate versions (it’s faster and cleaner).
For identity consistency, describe key facial/hair traits in the prompt and choose the same model/duration across the batch.
Use a compact negative: “flicker, ghosting, plastic skin, extreme warp, watermark, text.”
See a Full Guide "How to Prompt AI Video".
Best practices & pro notes
Start with 5s, approve the look, then do 10s (Kling 1.6/2.1) for selects.
It's best to gen the video from already fully finished materials, don't leave upscale and faceswap for the last step in this case.
If the face must remain untouched but you need bigger frames for thumbnails or cover images, use Face-Safe Upscale on keyframes.
Known limitations (and how to mitigate)
Tiny text/logos will not be readable — overlay in post if required.
Hands/occlusions can introduce warps; reduce complexity or crop tighter.
Excessive motion can cause flicker — dial motion down or switch from WAN to Kling 2.1 for smoother output.
FAQ
Can I upload many images at once?
Yes — upload up to 100; each becomes a separate clip.
Which model is most realistic?
Kling 2.1. If you need speed or longer batches, use Kling 1.6. If you want looser, stylized motion, try WAN.
Can I generate with audio?
This tool generates silent clips. Add music/VO during editing or in the publishing step.
Need help picking a model for your use case? Drop us a message via the chat bubble.