Werewolf Transformation: the source selfie, rejected werewolf looks marked with red crosses, and selected transformation stages marked with green checks.

I wanted a werewolf transformation worthy of a horror film

I'm a horror fan. When I set out to make a werewolf Momento, I had films like An American Werewolf in London in mind: the kind of transformation that makes you wince as a face stretches, teeth push through, and a creature takes shape before your eyes. I wanted to bring that feeling to the werewolf Momento.  I wanted our customers to recognize their photo as the change began, then watch their face grow into something terrifying.

When I was making this, I hadn't thought to search for images from the film. I was working from memory of watching American Werewolf in London, a film I hadn't seen in over thirty years. The fact that its transformation had stayed with me for so long was how I knew it would be a great Momento, because its cinematic quality has an impact. 

That's the idea behind MagicLens Momentos: high-quality cinematic digital keepsakes that turn your photos into experiences. For this one, a frightening final picture was only the beginning. I wanted the film of you becoming the werewolf to be worth watching again.

Six-panel collage showing a human face progressing through werewolf transformation stages to a snarling creature
A transformation collage I added afterward to illustrate the film's influence. We did not use it as a generator input.
We didn't use these images from the film in our reference because that not only crosses a line for us; it just wouldn't work. I started with my imagination and a selfie, then kept refining the prompt until it described the transformation I could see in my mind. I learned this skill in university while studying film, which is perfect for video and image prompt engineering.  

When writing screenplays, the job of the scriptwriter is to only write what is seen and heard in the film: "show, don't tell." Superlatives and emotives, for example, have little use in a screenplay, because they don't describe what the audience should see. And when you use them in video rendering, it increases the probability of your outcome, because the model tries to interpret what you mean by 'looking guilty'. So applying screenwriting best practices is a great way to improve the determinism of our prompts.  

I started with a few one-shot prompts, asking the video model to make the transformation scary. The results looked fake to me. They played like transitions between a person and a monster, with the important part (a gory transformation) missing. 

Image and video generation is probabilistic. A prompt gives the model direction, but it leaves plenty of room for the model to decide how the scene unfolds. I could keep trying and hope for an exceptional take, or work out how to build the effect I actually wanted. Getting this one right took many hours of iterations.  Our tools made iteration possible, and with each step I learned what worked and what didn't; the learning built in, and the final product locked in as a repeatable workflow.  

The process leverages different models for different steps, which I also tested to get the highest quality at the best prices.  This is an important aspect of our Momentos: we build them to the highest cinematic quality while also finding the best price.  

A photo of a man on a city street at sunset, and three werewolf looks made from it
The AI-generated test photo and the three werewolf looks I had already approved as still images: cool, ugly and hairy.
Werewolf development test · MagicLens Studio Pro · October 2026 · AI-generated test subject

Building the transformation a piece at a time

I had a few werewolf options I considered building from, but none were exceptional, so I decided to work from the selfie through the transformation.  

Six frames from the first six-second take: the man grimaces, then a wolf head appears
An early six-second take. The face grimaces before the wolf head arrives; the transformation happens too abruptly.
Werewolf development test · MagicLens Studio Pro · October 2026 · AI-generated test subject

I slowed the sequence down and added an image of the transformation halfway through. The opening improved, but the rest still rushed. The nose, teeth, hair and body seemed to take turns. I wanted them to overlap, as they would in the scene I was imagining: the snout and teeth growing while the neck and shoulders swelled, hair covering the human ears before wolf ears emerged.

Building separate keyframes gave me control over those moments. Each was a still image at a particular stage; the video model animated the change between them. I could inspect a weak stage, correct it, and try that part again.

That's what I value about Studio Pro: I can work incrementally, keeping the prompts and workflow steps explicit and saving the versions I want to build on. Each change has a place in the sequence, rather than depending on a long conversation to remember every earlier decision. It gives me control over the process; the generated images and video still need review.

Keeping the subject in the shot

As the creature grew, another problem appeared. The head became smaller in the frame and more of the body came into view. It looked as though the camera had stepped backwards to make room.

Six frames from a take where the head shrinks and the body fills the frame
Before the framing fix: the head shrinks and the shot widens to show more of the werewolf’s body.
Werewolf development test · MagicLens Studio Pro · October 2026 · AI-generated test subject

The end image had a wider crop, so the video was moving towards that composition. I rebuilt the keyframes around the original photo: the same head position, the same head size and the same amount of body in view. The shoulders could swell and the jacket could tear within that frame. The camera had to stay with you.

Six frames from the framing-locked take: the head stays the same size throughout
After the framing fix: the head stays closer to the original size and position. The shot is improved, but the transformation still needs work.
Werewolf development test · MagicLens Studio Pro · October 2026 · AI-generated test subject

A second generated keyframe used as a reference could also pull the composition away from the previous frame. For this sequence, I edited each keyframe from its predecessor and repeated the framing instruction. The resulting twelve-second test held its composition. That gave me a specific requirement to check in every later take.

Making the change feel physical

The middle needed more of the detail that made me want to build this in the first place: stretched skin, raised veins, crowded teeth. The instructions had to describe those changes happening. Describing a finished werewolf left the model too much freedom to reveal one all at once.

Once the movement improved, I could see a pause between clips. A frame-by-frame check found roughly 0.9 seconds of almost still footage at the end of the first clip. Trimming it removed the hesitation without paying for another generation.

The ending took several attempts. One creature was too furry. Another settled into a calm face with its mouth closed. I made a leaner final image, kept the mouth open in a roar and added a keyframe so the last change had room to develop.

Five keyframes: the photo, two gross middle stages, a mid-growth roar, and the finished werewolf
The test photo and four keyframes, each edited from the preceding image. 
Werewolf development test · MagicLens Studio Pro · October 2026 · AI-generated test subject

The version I finally approved was fourteen seconds long: four clips, continuous growth, the head held in place and the roar carrying through to the last frame. I now had a film I could use as the reference for the experience.

Six frames from the approved fourteen-second transformation
The staged take I approved: continuous growth, a fixed composition and the roar building to the last frame.
Werewolf development test · MagicLens Studio Pro · October 2026 · AI-generated test subject

Returning to one shot with a storyboard

With the sequence worked out through my multi-render workflow, I now needed to bring it all together in a one-shot workflow.  Don't get this confused with a one-shot prompt, because it's far from that (the Studio Pro diagram below shows the staged workflow I developed first). 

 The one-shot is one video render with one soundtrack from start to finish.  Jason perfected the technique on the Tooth Fairy, our first-ever Momento.   It lets us control the video model's output in a variety of scenarios, knowing we'll have to deal with a wide range of images uploaded by users.  

Studio Pro node canvas showing the test photo connected to successive werewolf transformation images and clip stages
The staged Werewolf development workflow in Studio Pro, with the source photo, intermediate transformation images and connected processing steps.
Screenshot supplied by Devin
Five-panel Tooth Fairy storyboard showing her entrance, arrival, search for the pillow, wand tap and exit, with character and prop references below
Jason’s Tooth Fairy storyboard: five scene beats, with character and prop references to guide the one-shot film.
Supplied by Devin · Tooth Fairy

At this stage, I moved from Gemini to MiniMax H3 as the cheaper option for the one-shot tests. With the sequence worked out, I could compare its result against the staged reference and judge whether the lower cost preserved the effect.  Overall, while the effects were slightly more animated, the storyboard was preserved, and the Momento still maintained its high-quality cinematic experience.

Six frames from the one-take film rendered from a storyboard
The storyboard-guided one-shot test carries the sequence in one continuous render. Its look still differs from the staged reference.
Werewolf development test · MagicLens Studio Pro · October 2026 · AI-generated test subject