Comparison
Prompt-Only AI vs. ShotLock
Using AI to stylize video without ShotLock produces drift. Every frame is a new interpretation. ShotLock anchors every frame to the same look, characters, and environment.
Raw ComfyUI / Stable Diffusion with prompts alone
ComfyUI + IP-Adapter + ControlNet, anchored by ShotLock
Style consistency
Colors, contrast, and aesthetic shift randomly between frames — even with identical prompts. No two frames look like they belong in the same film.
Style consistency
Style Packs encode your palette, lighting, and tone as conditioning. Every frame is anchored to the same visual language.
Character identity
Faces change between frames. Hair color drifts. Wardrobe details appear and disappear. Characters are unrecognizable after a cut.
Character identity
Character Cards use IP-Adapter conditioning with your reference photos. Faces, wardrobe, and identity are locked on every rendered frame.
Environment continuity
A forest becomes a meadow. An apartment window changes position. Scenes contradict themselves across cuts — or even within a single clip.
Environment continuity
Scene Cards anchor lighting direction, environment descriptors, and reference images. Locations stay coherent across every cut.
Reproducibility
You can't reproduce a look. Even saving your exact prompt doesn't guarantee the same output next week on the same machine.
Reproducibility
Style Packs are saved, versioned, and reusable. Apply the exact same look to new clips weeks or months later.
Workflow
Manual per-frame work. Export frames, run diffusion, hope for consistency, manually check every output, re-run failures.
Workflow
Submit a clip from inside DaVinci Resolve. ShotLock handles extraction, processing, and re-import automatically.
Setup required
ComfyUI workflows with manual node wiring for each project. No saved configuration. Starts from scratch every session.
Setup required
One-time Style Pack creation. Reuse across projects. Preset configs for common aesthetics — ready to render in minutes.
The Drift Problem
What Happens Without ShotLock
AI image models are non-deterministic. Each frame is independently sampled — even with the same prompt. Over a 5-second clip at 1fps, you'll see character faces shift, colors drift, and scene geometry contradict itself.
Face Drift
The model re-generates faces independently on every frame. The same character looks like a different person between shots.
Color Drift
Palette and tone shift unpredictably. Your "warm cinematic look" is warm in frame 1, cool in frame 4, and desaturated by frame 8.
Scene Collapse
Backgrounds and environments are reinvented each frame. A city street becomes a forest. A couch changes shape mid-cut.
Non-Reproducibility
You can't get back a look you had yesterday. Every run produces different output — even with the same seed and prompt.
The ShotLock Solution
How ShotLock Anchors Every Frame
ShotLock combines three anchoring mechanisms — Style Packs, Character Cards, and Scene Cards — to constrain the AI output on every frame.
Style Packs
Encode the visual language of your project — palette, lighting, lens character — as a reusable preset that conditions every frame.
Learn more →Character Lock
Reference photos condition the IP-Adapter on every frame. Faces, wardrobe, and identity stay consistent regardless of stylization intensity.
Learn more →Scene Continuity
Scene Cards anchor the environment — lighting direction, atmosphere, location feel — so your backgrounds don't transform between cuts.
Learn more →- Inconsistent output across frames
- Characters change appearance between shots
- Environments contradict themselves
- Cannot reproduce a look reliably
- Manual per-frame workflow
- No integration with DaVinci Resolve
- Consistent style across every frame
- Character identity locked via IP-Adapter
- Scene continuity anchored by reference cards
- Fully reproducible — save and reuse Style Packs
- Automated render queue from inside Resolve
- DaVinci Resolve panel — no round-trips
Ready to Stop Fighting Drift?
ShotLock gives you consistent, locked-in stylization — across every frame, every clip, every project.