How to Keep Your AI Character Consistent Across Music Video Scenes

Upload 2–8 keyframe images of your virtual K-pop idol into a Frames to Video tool. The keyframes anchor the face, hair color, and outfit while the AI generates motion between them. This approach holds character identity across shots without training or face-swapping.

Why AI Characters Drift Between Shots

Most AI video generators build each scene from a text prompt alone. The model interprets the prompt fresh every time. Small variations in sampling produce a different jawline, a warmer hair tone, or softer eyeliner. Over 6–8 shots, those small shifts compound. Your idol looks like five different people.

The root cause is simple: text prompts carry no pixel-level memory. The model has no reference for what your character looked like in the previous shot. It guesses again from scratch.

Keyframe-based generation fixes this. When you supply actual images of your idol, the model uses those pixels as anchors. It interpolates motion between known visual states instead of inventing new ones.

Step-by-Step Workflow: 40-Second K-Pop Performance Reel

Step 1 — Lock the Face

Generate your base idol portrait using a Text to Image tool. Write a specific prompt:

K-pop idol, female, platinum silver bob cut, sharp black eyeliner, holographic crop top, black leather harness, front-facing, upper body, studio lighting, dark background

Refine the result in an image editor until the face is right. DomoAI's Nano Banana Pro works well here — it lets you edit details across multiple images with a single prompt. This portrait becomes your identity anchor. Every future image references it.

Step 2 — Build Pose Variations

Generate 3 more images using the same character description. Change only the framing, angle, and environment:

• [same character description], full body, standing on neon-lit stage, dramatic low camera angle
• [same character description], close-up profile, looking over shoulder, purple stage fog
• [same character description], mid-shot, arms raised above head, blue and pink crowd lights behind

Keep hair, makeup, and outfit prompts identical across every image. Matched lighting conditions matter — inconsistent lighting is the most common cause of color drift between keyframes.

Step 3 — Sequence in Frames to Video

Upload all 4 images in performance order: close-up front → profile over shoulder → full body on stage → arms raised.

DomoAI's Frames to Video accepts 2–8 keyframe images and generates smooth transitions between them. Write a short motion prompt for each transition — "slow turn toward camera," "arms rise into spotlight." Generate a 10-second clip.

Repeat with different keyframe sets (a slow-motion turn, a walk toward camera) until you have 4–5 clips covering roughly 40 seconds.

Step 4 — Upscale and Assemble

Run each clip through a Video Upscaler at 4K. Import into CapCut or your editor of choice alongside your music track. Cut to the beat.

What to Check in a Good Output

A consistent clip passes three tests:

• Face shape holds. Compare the idol's jawline and eye proportions in the first and last frame. They should match within normal motion variation.
• Hair color stays locked. Platinum silver should not bleed to grey or shift warm. If it drifts, your keyframe images had mismatched lighting. Regenerate those keyframes with the same lighting setup.
• Outfit details survive motion. Harness straps, crop top edges, and accessories should remain visible and structurally correct throughout. If details dissolve mid-transition, increase keyframe count. Four keyframes give the model more anchor points than two.

Tips for Stronger Character Lock

• Use the same seed image as a base. Generate all pose variations from one refined portrait. This keeps facial geometry stable before the video model ever touches it.
• Match lighting across keyframes. A front-lit close-up paired with a backlit full body will confuse the interpolation. Stick to one lighting direction per clip.
• Add more keyframes for complex motion. A 180-degree turn needs at least 3 keyframes (front, side, back). Two keyframes force the model to guess the in-between geometry.
• Keep prompts short and specific. Long prompts introduce ambiguity. Describe the motion, not the character — the keyframe images already carry the character data.

Frequently Asked Questions

How many keyframe images do I need to keep my AI idol's face consistent?

Start with 3–4 keyframes for a 10-second clip. Use more keyframes when the camera angle changes significantly between shots. Two keyframes work for subtle motion (a slow zoom or head tilt). Complex choreography needs 6–8.

Can I keep the same AI character across different camera angles in a music video?

Yes. The key is supplying keyframe images that already show the character from each angle. A front-facing portrait, a profile, and a full-body shot give the model enough reference data to hold identity through angle changes.

How do I make a virtual K-pop idol that looks the same in every scene without face-swapping?

Generate a single refined portrait as your identity anchor. Build all pose variations from the same character prompt. Upload those images as keyframes into a Frames to Video tool. The model interpolates between your images instead of generating from scratch, so the face stays locked without post-production face-swapping.

Can I upload images from Midjourney or other generators into DomoAI Frames to Video?

Yes. DomoAI Frames to Video accepts PNG, JPG, and JPEG files from any source. Images generated in Midjourney, Stable Diffusion, or any other tool work as keyframes.

What's the maximum video length I can get from Frames to Video in DomoAI?

DomoAI Frames to Video supports clips up to roughly 56 seconds using up to 8 keyframes with custom timing per transition. For a full music video, generate multiple clips and assemble them in your video editor.

How DomoAI Compares to Kling and Runway for Character Consistency

Kling and Runway generate video from a single image or text prompt per clip. Maintaining character identity across multiple shots requires regenerating until the face happens to match — or adding LoRA training and external face-swap tools to the pipeline. DomoAI's Frames to Video takes a different approach: you upload 2–8 keyframe images of your character, and the model holds face, hair, and outfit details across the full sequence in a single generation step. No model training. No third-party patching. For a music video workflow where one character needs to appear in 6–8 distinct shots, the keyframe method removes the trial-and-error loop that burns hours in prompt-only tools.

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