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The Thing (1982) - Cinematographic Style

42

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164 MB

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Type

LoRA

Stats

187

42

171

Reviews

Published

Sep 12, 2024

Base Model

Flux.1 D

Hash

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Atomease

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

The Thing (1982) is a sci-fi horror film directed by John Carpenter. Set in a remote Antarctic research station, the story follows a group of scientists who encounter a shape-shifting alien that can assimilate and imitate any living organism. As paranoia and mistrust grow, the team must figure out who is still human before the creature destroys them all. Known for its intense atmosphere, groundbreaking practical effects, and chilling isolation, The Thing has become a cult classic in the horror genre.

⚠️IMPORTANT: this version is mostly broken and is very hard to use. I intend to iterate on it. But I think it's already usable in some cases, these cases being: dark scenes, dark photography.

Please also note this is a LoRA about the style of the movie, not the content specifically. For instance, you can't prompt "R.J. MacReady", at least in the current version.

STRENGTH: around 1

Prompting: verbose style will work better, take inspiration from the showcase.

It is possible to find unexpected uses with experimentation if you feel adventurous.

All the captions used in the training are included if you want to study them (not the images because they are copyrighted).

Top 20 Nouns and Adjectives by Frequency:

  • man: 305

  • lit: 275

  • person: 274

  • dimly: 272

  • right: 268

  • visible: 244

  • jacket: 240

  • left: 233

  • background: 220

  • room: 218

  • scene: 205

  • dark: 179

  • snow: 168

  • environment: 166

  • light: 165

  • individual: 162

  • hair: 159

  • shirt: 154

  • closeup: 152

  • face: 133

TRAINING INFO:

500 movie stills captioned by cogvlm2-llama3

Trained on ai-toolkit