Higgsfield Image Shots

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 9e3a2f685c72 · 28 Oct 2026Report an issue or request a re-scan

• PublisherOSideMedia GitHub userOwner of the repository this skill is read from
• Source folderOSideMedia/higgsfield-ai-prompt-skill/skills/higgsfield-image-shotsThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict9e3a2f685c72A new audit runs when the source changes
• Repository statusNot archivedLast push 2 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Use when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type (close-up, wide shot, cowboy shot, etc.), or…

---
name: higgsfield-image-shots
description: >
  Use when the user wants to generate a cinematic still image on Higgsfield,
  asks about shot framing, camera angle, or composition for image prompts,
  needs a specific shot type (close-up, wide shot, cowboy shot, etc.),
  or is working with [img] reference-based image generation. Covers distance
  & size shots, camera angles, and camera movement keywords optimized for
  AI image models (Soul 2.0, Nano Banana, Seedream, GPT Image, Flux, etc.).
user-invocable: true
metadata:
  tags: [higgsfield, image, shots, framing, angle, composition, cinematic, portrait, close-up, wide-shot]
  version: 3.0.0
  updated: 2026-04-06
  parent: higgsfield
---

# Higgsfield Cinematic Image Prompting

## QUICK FACTS
*Generated-checked block (scripts/build_index.py verifies anchors). Read the linked sections for full context — these lines are routing aids, not the rules themselves.*
- Scope: still-image composition only; `[img 1]` is the Soul ID / uploaded reference token — replace with a character description or @ Element when no reference is used [→](#how-to-use-this-reference)
- Base pattern: [Shot keyword] of [img 1 or character description] + [pose/action] + [environment detail] + [lighting/atmosphere] [→](#how-to-use-this-reference)
- 10 framing sizes, EWS → Macro: EWS tiny-in-landscape, Wide full body, Full head-to-toe, MLS knees up, Cowboy mid-thigh up, Medium waist up, MCU chest up, CU face, ECU single detail, Macro texture [→](#distance--size--quick-reference)
- Framing keywords: "EWS, Vast, Landscape" / "Wide Shot, Full Body" / "Cowboy Shot" / "MCU" / "Close-Up" / "ECU" / "Macro" [→](#distance--size--quick-reference)
- 10 angles: Eye-Level, Low Angle, High Angle, Overhead, Worm's Eye, Dutch/Canted, OTS, POV, Selfie, Ground Level [→](#angles--quick-reference)
- Angle = emotional read: Low = power, High = vulnerability, Dutch = unease/chaos, Worm's Eye = extreme power/surreal [→](#angles--quick-reference)
- Multi-word angle keywords: "POV, First Person Perspective" / "Selfie Angle, Arm's Length" / "Ground Level, Surface View" [→](#angles--quick-reference)
- OTS = looking past one person's shoulder at another — essential for dialogue [→](#over-the-shoulder-ots)
- Movement keywords create the FEELING of motion in a single frame — motion blur, implied movement, frozen mid-movement [→](#camera-movements-implied-in-still-images)
- Static/Basic movements: Static, Pan, Tilt, Zoom In / Zoom Out, Pedestal Up/Down [→](#static--basic)
- Advanced Physical movements: Dolly In, Dolly Out, Truck Left/Right, Orbit, Crane [→](#advanced-physical)
- Cinematic & AI movements: Dolly Zoom (Vertigo), Crash Zoom, FPV, Bullet Time, Handheld Follow, Camera Roll, Rack Focus, Pull Back Reveal, Fly-Through [→](#cinematic--ai)
- Strongest prompts layer all three: [Distance/Size] + [Angle] + [Movement hint] + Subject + Environment + Lighting [→](#combining-shot--angle--movement)
- Full formula closes with [Lighting — time of day, source, quality] then [Style — cinematic, film stock, color grade] [→](#image-prompt-formula-for-cinematic-stills)


This skill covers **still image** shot composition — framing, angles, and implied
camera movement for AI image generation. Use these keywords and patterns when
building prompts for any Higgsfield image model.

**Key difference from video camera controls:** These are composition directives
for a single frame. The `[img 1]` token references a Soul ID character or
uploaded reference image. Replace it with your character description or @ Element
when no reference image is used.

---

## How to Use This Reference

Every entry has:
- **Shot/Movement** — the cinematography term
- **AI Prompt Keyword** — the exact words to put in your image prompt
- **Purpose** — what emotional/compositional effect it creates
- **Prompt Example** — a ready-to-adapt prompt phrase

**Prompt pattern for image generation:**
```
[Shot keyword] of [img 1 or character description] + [pose/action] + [environment detail] + [lighting/atmosphere]
```

---

## Distance & Size — Shot Framing

These control how much of the subject fills the frame and how much
environment is visible. Choose based on whether the image is about
the world, the character, or a detail.

### Extreme Wide Shot (EWS)
**AI Prompt Keyword:** EWS, Vast, Landscape
**Definition:** The subject is barely visible; emphasizes the vast landscape or location.
**Purpose:** Establish vastness, show isolation, or emphasize scale.
**Prompt Example:**
```
Extreme wide shot of [img 1] standing alone in a vast, empty frozen tundra.
The subject is small in the distance, surrounded by massive snowy mountains.
Cinematic lighting
```

---

### Wide Shot (WS) / Long Shot
**AI Prompt Keyword:** Wide Shot, Full Body
**Definition:** Shows the full subject within their environment.
**Purpose:** Provide context and spatial awareness.
**Prompt Example:**
```
Wide shot of [img 1] standing full body in a snowstorm. She is wearing fur armor,
boots visible, centered in a snowy forest clearing. Environmental context.
```

---

### Full Shot
**AI Prompt Keyword:** Full Shot, Framed
**Definition:** Frames the subject from head to toe while filling more of the frame.
**Purpose:** Balance character detail with environment.
**Prompt Example:**
```
Full body shot of [img 1] from head to toe. She stands confidently in the snow,
holding a weapon at her side. Detailed costume design
```

---

### Medium Long Shot (MLS)
**AI Prompt Keyword:** Medium Long Shot
**Definition:** Frames the subject from knees up.
**Purpose:** Natural framing for movement or dialogue.
**Prompt Example:**
```
Medium long shot of [img 1] framed from the knees up. She is walking through
deep snow, looking towards the horizon. 3/4 angle view.
```

---

### Cowboy Shot
**AI Prompt Keyword:** Cowboy Shot
**Definition:** Frames subject from mid-thigh up.
**Purpose:** Emphasize posture, readiness, or action.
**Prompt Example:**
```
Cowboy shot of [img 1] framed from mid-thigh up

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/OSideMedia/higgsfield-ai-prompt-skill
git -C higgsfield-ai-prompt-skill checkout 9e3a2f685c72

Works in

1. 2026-10-28
   ✓SAFE B 89 / 100

   first audit · source 9e3a2f685c72

Questions about Higgsfield Image Shots

• github.com/OSideMedia/higgsfield-ai-prompt-skill/tree/main/skill — the audited source at commit 9e3a2f685c72 and every finding aboveObserved · 28 Oct 2026

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