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higgsfield-image-shots

Generates cinematic still-image prompts using shot framing, camera angle, and movement keywords for Higgsfield image models.

Updated Jul 15, 2026
Search Tags:#prompt engineering#image generation#composition#cinematic#higgsfield#camera angle#shot framing
One-click install
npx skills add https://github.com/executiveusa/buffer-blaster- --skill higgsfield-image-shots-executiveusa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: higgsfield-image-shots
Source: https://github.com/executiveusa/buffer-blaster-/tree/main/skills/higgsfield/skills/higgsfield-image-shots
Command: npx skills add https://github.com/executiveusa/buffer-blaster- --skill higgsfield-image-shots-executiveusa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Writing effective prompts for AI image generators requires cinematography vocabulary that most users do not know, leading to flat, poorly framed results. This Skill provides a structured reference of shot sizes, camera angles, and implied movement keywords so prompts produce deliberately composed cinematic stills. ## Core Features & Use Cases - Shot Framing Library: Ten distance/size framings from Extreme Wide Shot to Macro, each with exact AI prompt keywords and ready-to-adapt examples. - Camera Angle Reference: Ten angles (Low Angle, Dutch, POV, OTS, and more) mapped to their emotional effects for intentional composition. - Implied Movement Keywords: Static, physical, and cinematic movement terms (Dolly Zoom, Bullet Time, Rack Focus) that create the feeling of motion in a single frame. - Use Case: A creator generating a character portrait with Soul 2.0 combines a low angle, medium close-up, and slow dolly-in keyword with lighting and film-stock style terms to produce a dramatic, professionally framed image. ## Quick Start Ask the AI to write a Higgsfield image prompt for a low angle medium close-up of your character with cinematic lighting using this shot composition reference.

Frequently Asked Questions about higgsfield-image-shots

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write cinematic prompts for AI image generation?▼

Use the formula: shot size plus angle plus movement keyword, then subject, pose, environment, lighting, and style. For example, a medium close-up with low angle and slow dolly-in, followed by golden hour backlight and a film stock reference like Kodak Vision3 500T.

What shot types can I use in AI image prompts?▼

Ten framing sizes are supported: Extreme Wide Shot, Wide Shot, Full Shot, Medium Long Shot, Cowboy Shot, Medium Shot, Medium Close-Up, Close-Up, Extreme Close-Up, and Macro. Each has exact keywords like "Cowboy Shot" or "ECU" that image models recognize.

Which camera angle should I use for a powerful character portrait?▼

Use a Low Angle shot, where the camera looks up at the subject to convey power and dominance. For extreme or surreal scale, use a Worm's Eye view from ground level looking straight up.

Does this work with Higgsfield Soul ID reference images?▼

Yes, the [img 1] token in prompt patterns references a Soul ID character or uploaded reference image. When no reference is used, replace the token with a character description or an @ Element.

Can camera movement keywords work in still images?▼

Yes, movement keywords create the feeling of motion in a single frame through motion blur, implied movement, or frozen mid-movement composition. Terms like Dolly Zoom, Bullet Time, and Rack Focus translate video techniques into still-image directives.

What is the difference between this and video camera controls?▼

This Skill covers still-image composition only, where keywords act as single-frame composition directives. Video camera controls for actual motion over time are handled by the separate higgsfield-camera skill.

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