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Choose the source face
A sharp, unobstructed face works best. Sunglasses and heavy tilt reduce quality.
Démo publique gratuite
Envoyez un visage source et une photo cible. FaceFusion change l’identité tout en conservant pose, lumière et expression.
Outil en direct
Visage source + image cible en entrée, PNG en sortie. Le studio simple sert aux essais rapides. L’onglet FaceFusion complet expose HyperSwap, INSwapper et les améliorations.
Loading the full FaceFusion demo. Sleeping apps can take a minute to wake.
What it is
FaceFusion takes a source identity and maps it onto a target image. HyperSwap and INSwapper are the swap models; face enhancers clean skin and edges after the swap.
Wan-Animate and Wan 2.2 S2V generate motion from a still. FaceFusion keeps the target photo and only changes who is in it. Use this page for identity transfer, not talking or singing videos.
Three steps: a source identity, a target photo, then optional enhance.
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A sharp, unobstructed face works best. Sunglasses and heavy tilt reduce quality.
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The output keeps this pose, crop, and lighting. One clear face is more reliable than a crowd.
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The studio runs a CPU face swap. Turn on enhance to sharpen the result. The full tab exposes more models.
The simple studio uses a streamlined FaceFusion path. The full tab can reach HyperSwap and INSwapper.
FaceFusion’s newer swap family. Strong identity transfer on stills; licensed ResearchRAIL.
A widely used InsightFace swapper. Fast and familiar, with non-commercial limits on some weights.
Optional cleanup after the swap so skin, teeth, and edges look less pasted.
The same source + target flow covers portraits, characters, restorations, and light creative edits.
Put one face onto another headshot while keeping camera angle and wardrobe.
Try a face on illustrated or styled characters when the face region is large enough.
Preview how a person would look in an existing photo before a real shoot.
Quick joke swaps. Keep it consensual — do not upload other people’s private photos.
Both start from a face, but they solve different jobs.
| Feature | FaceFusion | Wan-Animate / S2V |
|---|---|---|
| Job | Replace identity on an existing still | Generate a new talking or moving clip |
| Inputs | Source face + target image | Image + motion video or audio |
| Motion | None in this image demo | Full performance and lip motion |
| Best for | Face swap, identity transfer | Talking photos, character animation |
The model copies identity. Matching pose and lighting does more than any extra slider.
Yes for visitors. It uses public CPU FaceFusion backends, so there is no GPU bill on this page. Queues and downtime still happen.
No. Ordinary ZeroGPU Spaces have short daily GPU minutes. This demo prefers a CPU FaceFusion Space that does not spend ZeroGPU quota, so it is slower but better for a small public try-out.
The simple studio is image-only. The full FaceFusion tab may expose more processors, but this page is built and tested as a still-image demo.
CPU inference plus a public queue. A 480p-ish crop with one face is kinder than a huge photo.
No. Public Spaces have no SLA, and HyperSwap / INSwapper licenses are not a commercial SaaS grant. Production later means a licensed API or your own GPU.
Anything private, anyone who did not consent, and any illegal or harmful imagery. Uploads go to a third-party public demo.