AI Character Swap Tutorial Using AI (Higgsfield AI + Wan 2.2 )
This workflow demonstrates a low‑cost, no‑green‑screen method for AI filmmakers to create character‑centric shorts quickly.
What this lesson covers
Diego shows how to turn a single photo into a fully animated AI video by swapping yourself into any character using Higgsfield and the Wan 2.2 model. He walks through photo preparation, video capture, prompt generation with ChatGPT, and final rendering at 720p.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:02 ↗
You can create any character from a single image and a short video reference.
- 00:34 ↗
Upload your portrait and a template video on higsfield.ai to start the process.
- 01:16 ↗
Use a solid, non‑busy background and a tripod for the best video capture.
- 02:21 ↗
Choose the Wan 2.2 “replace” model to swap yourself with the generated character.
- 02:50 ↗
Set output resolution (e.g., 720p) and be aware of credit usage (57 credits in the demo).
Workflow outlined in the video
- Capture a clear portrait photo against a simple background.
- Record a short video of yourself on a tripod with minimal movement.
- Upload the photo and video to Higgsfield and select the Wan 2.2 replace model.
- Take a screenshot of a frame showing your hands and prompt ChatGPT to generate the desired character image.
- Upload the generated character image, set resolution to 720p, and generate the final video.
- Download the video and review for any needed post‑processing.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
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How to interpret the numbers
5,872 views captured 22 October 2026. ReelStack recommendation score: 51/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 7.02× current views vs the channel's recent median; same-age history is not yet available. View-evidence factor 85% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 28/100; likes + 4× comments, smoothed with a 500-view neutral prior