The Outlaw Video Production YouTube channel recently shared a video that imagines how Scarlet Witch would appear in Doctor Strange: In the Multiverse of Madness if the role had gone to Scarlett Johansson instead of Elizabeth Olsen. The experiment uses a neural network based deepfake technique to render the alternative Wanda appearance. Viewers responded with a mix of nods to creative execution and curiosity about the potential casting swap.
In this experiment, a sophisticated deep learning model was employed to map Johansson’s likeness onto the character, producing a convincing result that sparked discussion within the fan community. Several comments highlighted the realism and the artistry involved in blending the actress’s features with the established visual language of the Marvel Cinematic Universe. The conversation extended beyond the visuals, touching on how fan-made deepfakes intersect with discussions about casting and reinterpretation in popular media.
Wanda Maximoff, also known as Scarlet Witch, has been portrayed in the Marvel films by Elizabeth Olsen. The original performances are widely recognized for their emotional depth and the character’s evolution across the MCU. The video in question invites fans to reimagine that journey through Johansson’s screen presence, sparking debates about how the character would feel with a different visage and how the story might unfold with an alternate casting choice.
The broader takeaway from such projects is the demonstration of deepfake technology’s capabilities in modern fan culture. When used responsibly, these demonstrations can showcase technical skill and creative interpretation, inviting viewers to consider how performances are perceived and how they contribute to character development within a shared cinematic universe.