FrameThrower · Actors · LaKeith Stanfield
LaKeith Stanfield
15 films · 1,230 frames · top-billed in 7 · 2013–2025
Born 12 August 1991 · San Bernardino, California, USA
LaKeith Lee Stanfield is an American actor. He made his feature film debut in Short Term 12 (2013), for which he was nominated for an Independent Spirit Award. He received further recognition for his roles in the films Get Out (2017), Sorry to Bother You (2018), Uncut Gems (2019), Knives Out (2019), and Judas and the Black Messiah (2021), the lattermost of which earned him a nomination for the Academy Award for Best Supporting Actor.
Stanfield has also appeared in the films Selma (2014), Dope (2015), Straight Outta Compton (2015), Crown Heights (2017), The Photograph (2020), The Harder They Fall (2021), Haunted Mansion (2023), and The Book of Clarence (2023).…
How their films are shot
Measured across 1,230 frames from the 15 films we hold. This is the look of the work LaKeith takes, not a claim about any single frame — we index the cast of a film, never the people in a shot.
Across the 15 films we hold, 46% of their frames are night, 45% low key — the look of the work LaKeith takes.
Time of day
Lighting
Shot size
Camera angle
Mood
Films in the library
Every poster opens that film — stills, cinematography notes and colour palette.
Play Dirty
2025 · Grofield
The Book of Clarence
2023 · Clarence/Thomas
Judas and the Black Messiah
2021 · Bill O'Neal
Uncut Gems
2019 · Demany
Sorry to Bother You
2018 · Cassius Green
Death Note
2017 · L
Crown Heights
2017 · Colin Warner
Die My Love
2025 · Karl
Roofman
2025 · Steve
The Harder They Fall
2021 · Cherokee Bill
Someone Great
2019 · Nate Davis
Knives Out
2019 · Lieutenant Elliott
Get Out
2017 · Andre Logan King
Dope
2015 · Bug
Short Term 12
2013 · Marcus
Often with
Shared films in this library, not a full filmography.
A reference database for filmmakers
FrameThrower is a fully machine-searchable film database and visual reference library — all 1,230 frames from LaKeith Stanfield's 15 films, and 5,000+ films besides, indexed frame by frame and readable by AI. Search it in plain language, from a reference image, or by colour; call it from an API, an MCP server or an SDK. It's the reference layer for making the next movie.