Prompt LibraryPrompt Library / Before / After Transformation Video / for Wan
Before / After Transformation Video Prompt for Wan
This is the Wan version of the before / after transformation video prompt: one locked-off shot that carries a subject from its before state to its after state — the change is the whole clip. It is formatted the way Wan takes prompts best. Free — copy it, replace the bracketed parts, and paste it in.
The prompt
Push copies this prompt with a reference line naming your image, and downloads the image file — attach it in the model to complete the pair. This page stages the pair for you; it cannot upload into the model itself (sites cannot reach into each other), so the final attach happens there. The image is downscaled to at most 1024px and stored only in this browser, paired with this prompt. If browser storage is full, it is kept for this visit only.
The deliverable — and how to check it
Deliverable: one 10-second clip from a single locked-off camera position: the before state holds for the first 3 seconds, the transformation plays through the middle, the after state holds for the final 3 seconds, angle and framing identical throughout. Acceptance check: overlay the first and last frames — the frame edges must align exactly; any cut, reframing or light-direction change fails the clip.
Series: Music Video Production — Step 2 of 2 — the transformation set-piece. See its place in the full workflow
Using this prompt with Wan
Wan (Alibaba) is the open-weights video anchor: the 2.2 line is Apache-2.0 and runs locally in ComfyUI/Diffusers; newer generations are API-only on Alibaba Cloud. Its prompt sweet spot is subject-first descriptive prose — roughly 15 to 60 words naming the subject, the one action, the environment and the camera. It supports a real negative prompt (carried in this version), and image-to-video animates a reference frame, so your keyframe becomes the literal first frame of the shot.
What this route costs — and how to pay less
Cost structure: open weights — the Wan 2.2 line runs on your own hardware, so the marginal cost per generation is zero; only the newer API-only generations are metered (per generation on Alibaba Cloud). The same prompt is pre-configured in this library for every major model, so you can run it on whichever route fits your budget — comparing the structures before you generate is a free way to save money.
Replace the bracketed placeholders — [SUBJECT], [BEFORE DESCRIPTION], [AFTER DESCRIPTION] — with your own details before pasting.
Other versions and customization
See all model versions of this prompt, or open the prompt gateway to build a custom prompt from your own one-line goal, formatted for Wan or any other model.
More Wan prompts
Mpromp2 — the AI Prompt Generator. Every prompt in this library is free to use, including commercially.