AI Short Drama & Motion Comic Tutorial

Batch delivery went from 243 to 82 seconds

Both runs used the same three first frames, prompts, and settings. In the serial run, we completed and downloaded each clip before submitting the next. In the concurrent run, we submitted three independent image-to-video jobs together. All three clips returned successfully in each run.

Per-shot timing runs from submission to the first completed status observed by the client, with polling every eight seconds. Batch timing includes downloads. We ran one batch of three jobs per condition, with the serial run first. The results reflect these inputs and the service load at the time.

From AI storyboards and character references to image-to-video

In this late-night suspense scene, the lead character is reading when she receives a message from an unknown sender that reads “Don’t turn around.” She slowly looks up. The three shots share a character and setting, with the message added in post. Once the storyboard is ready, use Seedream 4.0 for references and first frames, then animate each shot with Kling 3.0.

Images were 1440×2560. We requested five-second, 720p clips with native audio and automatic multi-shot mode disabled. All six outputs were 720×1280 at 24 fps and ran for about 5.042 seconds each.

Original 2D suspense motion comic, clean linework, cel shading, restrained expressions, cool blue night light against warm lamplight, vertical 9:16. A single character reference of a 25-year-old East Asian woman with straight, shoulder-length black hair parted in the middle, no bangs, dark brown eyes, a gray crew-neck sweater, and no jewelry. Front-facing half-body view with a calm expression, a plain light gray background, a clear face and outfit, and no text.

原创二维悬疑漫剧，干净线稿，赛璐璐上色，克制的表情，冷蓝夜色与暖色台灯对比，9:16竖构图。单人角色参考图：25岁成年东亚女性，黑色齐肩直发，中分，无刘海，深棕眼睛，灰色圆领毛衣，无首饰。正面半身，表情平静，浅灰纯色背景，脸部和服装清晰，无文字。

Original 2D suspense motion comic, clean linework, cel shading, restrained expressions, cool blue night light against warm lamplight, vertical 9:16. An empty study with a fixed layout. A light wood desk, warm lamp on the right, window with blue night light on the left, and bookshelf behind it. One black phone at the center of the desk, face up with its screen off. No text or other phones.

原创二维悬疑漫剧，干净线稿，赛璐璐上色，克制的表情，冷蓝夜色与暖色台灯对比，9:16竖构图。无人小书房，固定空间布局：浅木书桌，桌面右侧暖色台灯，左侧窗户可见冷蓝夜色，后方书架。桌面中央一部黑色手机，屏幕朝上且关闭，无文字，无其他手机。

Original 2D suspense motion comic, clean linework, cel shading, restrained expressions, cool blue night light against warm lamplight, vertical 9:16. Reference 1 establishes the character, hairstyle, and clothing. Reference 2 establishes the study and desk layout. Keep the same character and room. A medium three-quarter view of the woman reading at the desk with her head slightly lowered. A black phone lies face up at the center of the desk with its screen off. The lamp on the right is on. Hold this simple starting pose. No text.

原创二维悬疑漫剧，干净线稿，赛璐璐上色，克制的表情，冷蓝夜色与暖色台灯对比，9:16竖构图。参考图1提供人物身份、发型和衣服，参考图2提供书房与桌面布局。保持同一人物、同一书房。侧前方中景，人物坐在桌前安静看书，头略低，手机平放在桌面中央，屏幕朝上且关闭，右侧台灯亮着。保持简单动作的起始姿态，无文字。

Original 2D suspense motion comic, clean linework, cel shading, restrained expressions, cool blue night light against warm lamplight, vertical 9:16. Use both references to keep the same light wood desk, black phone, lamp, and lighting. Close-up of the phone lying flat, face up with its screen off. Warm lamplight falls across the desk. No people, hands, or text. Keep the whole phone visible and leave room on the screen for a text overlay in post.

原创二维悬疑漫剧，干净线稿，赛璐璐上色，克制的表情，冷蓝夜色与暖色台灯对比，9:16竖构图。参考两张图保持同一张浅木书桌、黑色手机、台灯与照明。手机屏幕的近景特写，手机保持平放，屏幕朝上且关闭；暖色台灯光落在桌面上。无人物、无手、无文字，手机形状完整，构图给屏幕留出后期文字空间。

Original 2D suspense motion comic, clean linework, cel shading, restrained expressions, cool blue night light against warm lamplight, vertical 9:16. Reference 1 establishes the face, hair, and gray sweater. Reference 2 establishes the study, seated orientation, and lighting from both sides. Close-up of the character looking down at the desk, calm and with her mouth closed. Use this as the starting frame for her to slowly look up. No text.

原创二维悬疑漫剧，干净线稿，赛璐璐上色，克制的表情，冷蓝夜色与暖色台灯对比，9:16竖构图。参考图1保持同一人物的脸、发型、灰色毛衣，参考图2保持同一书房、人物坐向和左右照明。人物面部近景，目光朝向画面下方桌面，表情平静，嘴闭合，作为随后缓慢抬眼的起始画面，无文字。

One continuous shot. Preserve the character’s appearance, clothing, and room layout from the source image. She sits at the desk with gentle breathing and natural blinks. Her gaze stays down. Use a very slow push-in. Keep the desk and phone still and her mouth closed.

单个连续镜头。保持原图人物外貌、衣服和空间布局。人物坐在桌前，只有轻微呼吸和自然眨眼，目光保持朝下。镜头极缓慢推进，桌面与手机保持静止，嘴闭合。

One continuous locked-off close-up. The same black phone lies flat on the desk. Its screen changes from off to a soft, even glow with no text or icons. Keep the phone and background still. No hand enters the frame.

单个连续特写，固定镜头。同一部黑色手机平放在桌面上，屏幕从熄灭变为均匀柔和亮光，不出现文字或图标。手机和背景保持静止，无手进入画面。

One continuous locked-off close-up. Preserve the character’s identity and face shape. She slowly lifts her gaze from below the frame to look ahead. Her eyes widen slightly and her expression shifts from calm to alert, then holds. Keep her mouth closed and head movement minimal.

单个连续近景，固定镜头。保持人物身份和脸型。人物缓慢将目光从画面下方抬向前方，眼睛轻微睁大，表情从平静转为警觉，最后停住。嘴闭合，头部只做很小幅度移动。

Reviewing character consistency and motion

All six videos decoded successfully. Below are the concurrent versions, with the first, middle, and final frame of each shot shown left to right.

Review the reference images first. The character reference came back with blunt bangs, and the setting reference introduced a figure outside the window. The first frames retained the hairstyle and wardrobe, while the figure did not recur. The adjustments above are suggestions for the next run.

How ModelGo helps short drama and motion-comic teams manage costs

• Get footage into review sooner. When several scenes or variants are due together, submit independent shots concurrently so editors can start reviewing sooner.
• Rerun the shots that need work. Each video has its own job ID. If a glance comes too early or a shot is too wide, rerun that shot and keep the rest.
• Track generation spend by shot. Match ModelGo console charges to shot numbers and track first takes, reruns, and accepted clips when budgeting an episode.

We reconciled five image and six video charges by request ID. The displayed charge per video was $0.3529. Concurrency brought batch delivery forward by about 161 seconds. Individual charges are displayed to four decimal places, and the subtotals use the console totals.

These are model charges for the two test runs. An episode budget should also include reruns, footage review, editing, and voice-over.

From generated shots to a 15-second rough cut

Enterprise Testing | Batch Delivery from Your Storyboards

1. Prepare representative shots

   Choose several shots you produce regularly. Bring first frames, prompts, model choices, resolution, and duration, along with expected batch size and peak concurrency.

2. Book a demo and agree on a test plan

   Use Book a Demo to align with the ModelGo team on models, batch size, and target concurrency. Confirm the credits available and how they can be used.

3. Increase load and record results

   Start with a small batch, then build up to your target concurrency. Record time to first delivery, total batch time, completion rate, and reruns. Divide total generation spend by the number of accepted shots to estimate cost per usable shot.