higgsfield-style

Solid

Use when the user asks about visual styles, aesthetics, color grades, film looks, or how to set the tone and atmosphere of a Higgsfield generation.

AI & Automation 127 stars 27 forks Updated today MIT

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Quality Score: 89/100

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Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Higgsfield Visual Styles ## Core Platform Styles These five styles are Higgsfield's named presets. Reference them by exact name. ### Cinematic **Look:** Polished, high-contrast, vivid colors, balanced exposure — modern blockbuster **Best for:** Drama, action, narrative films, commercials, any professional content **Color tendency:** Rich, saturated, clean **Prompt phrase:** "Style: Cinematic" **Pair with:** Kling 2.6/3.0, Sora 2, Dolly In, Arc, Crane Up ``` Example: A detective walks through a night market. Style: Cinematic. Cold blue shadows, warm amber market stall light. Shallow depth of field. 16:9. ``` --- ### VHS **Look:** Retro videotape grain, color bleed, slight scanlines, analog imperfection **Best for:** 80s/90s nostalgia, horror, thriller, retro music videos, flashbacks **Color tendency:** Slightly washed out, warm yellows and reds, low contrast **Prompt phrase:** "Style: VHS" **Pair with:** Handheld camera, Wan 2.5, any horror preset ``` Example: Teenagers at a house party in 1987. Style: VHS. Warm, grainy, slightly overexposed. 4:3 ratio. ``` --- ### Super 8MM **Look:** Warm film grain, soft vignette, muted colors, home-movie feel **Best for:** Personal stories, romance, nostalgia, indie films, family moments **Color tendency:** Warm, golden, slightly faded **Prompt phrase:** "Style: Super 8MM" **Pair with:** Handheld, natural light descriptions, intimate scenes ``` Example: A couple dancing in a sunlit backyard in the 1970s. Style: Super 8MM. Warm g...

Details

Author
OSideMedia
Repository
OSideMedia/higgsfield-ai-prompt-skill
Created
3 months ago
Last Updated
today
Language
Python
License
MIT

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