Vidu vs Deepfakes Web

Vidu turns text prompts, still images, and reference photos into finished video clips up to 1080p. Independent creators and production teams use it to skip a traditional post pipeline and go from idea to export in the browser. The core modes are text-to-video, image-to-video, and reference-to-video.

Reference-to-video is where Vidu stands out. Upload up to seven images to keep characters, objects, and scenes consistent across a clip, or save assets in My References for reuse on later projects. The Vidu Q3 model adds native audio in the same generation pass, so dialogue, voiceover, sound effects, and music land with the picture instead of in a separate editing step.

Creators working in anime, advertising, social content, and short-form film use Vidu for everything from template-based viral clips to 16-second narrative shots with frame-level camera control. Studios and marketers also use image-to-video to animate product shots or swap ad backgrounds while keeping subjects on-model.

New accounts receive starter credits, with more available through daily logins, subscriptions, and platform events.

Deepfakes Web is a cloud video generator that swaps one face onto another clip from a photo plus an MP4 upload. You pick a source face, attach a target video up to about three minutes and 200MB, and the service extracts faces frame by frame, runs the swap, and returns a downloadable MP4. The same pipeline runs in a browser studio, on iOS and Android, and through a REST API.

Most face-swap services push monthly subscriptions. Deepfakes Web charges per finished video instead, with no recurring plan. The web studio lists $10 per clip while the mobile app advertises roughly $0.05 per video, a gap the site puts at 95% cheaper on app. That structure fits occasional meme edits and one-off projects more than daily production teams.

Creators making satire clips, short-form memes, and gaming content are the obvious audience, along with developers wiring swaps into their own apps via the API. Uploads stay private to your account, outputs carry invisible watermarks, and the team deliberately leaves detectable imperfections so clips read as synthetic rather than pass-as-real footage.