cs800t_film
A Z-Image Turbo LoRA that emulates the signature look of Cinestill 800T — the tungsten-balanced cinema film stock
famous for its red halation glow around light sources, pushed grain, and moody low-light color response.
Trigger word: cs800t_film
Base model: Z-Image Turbo
What it does
Pulls your generations toward the Cinestill 800T aesthetic:
- Halation — that unmistakable red/orange bloom around streetlights, neon signs, headlights, windows. The thing that
made the stock a cult favorite.
- Tungsten color science — warm highlights, cool shadows, night scenes that look alive instead of flat
- Pushed grain — organic film texture, not digital noise
- Low-light shot language — rain-slick streets, neon after midnight, interiors lit by a single bulb, that "shot on
35mm at ISO 1600" mood
Works on anything — portraits, cityscapes, interiors, surreal scenes — but shines hardest when there's a practical
light source in frame to bloom.
Training
Trained on 200 hand-curated images pulled from r/analog, r/cinestill, r/35mm, and r/AnalogCommunity. Source images
scraped with query filters for Cinestill 800T specifically (night, portrait, pushed stock variants), scored, manually
reviewed, rejects removed. Minimum 1080px width to preserve grain detail. Full provenance recorded per image.
Four checkpoints trained: 750 / 1500 / 2250 / 3000 steps — pick your preferred strength of the effect.
Recommended settings
- Strength: 0.7–1.0 (can push to 1.2 for heavier halation)
- Prompt pattern: cs800t_film, [your scene], [lighting cue] — always include at least one light source in the
description to give the halation something to bite on
- Best with: night scenes, neon, tungsten interiors, rain, fog, cinematic framing
Example prompts
cs800t_film, a solitary figure in a trench coat walking down a flooded grocery
store aisle, shelves stocked with glowing vials, eerie lighting
cs800t_film, ancient knight sitting on a late-night subway train, neon lights
flickering outside the window, moody cinematic color grading
cs800t_film, diner waitress taking an order from a shadow person, 1950s
aesthetic, harsh dramatic rim lighting, intense film grain
---
Trained by MSch. Dataset transparency: every source image is a public reddit post with a recorded permalink. No
synthetic training data, no undisclosed scraping.

