LogoAhaPrompt
  • Prompts
  • Featured
  • Models
  • Submit
  • Blog
AhaPromptAhaPrompt

AI Prompts for Images, Video & Audio — Every Model, One Library

Built withLogoNEXTY.DEV
Explore
  • All Prompts
  • Featured Prompts
  • Image Prompts
  • Video Prompts
  • Audio Prompts
  • AI Models
  • Submit a Prompt
  • Blog
Languages
  • English
  • 中文
  • 日本語
  • 한국어

Copyright © 2026 AhaPrompt All rights reserved.

Privacy PolicyTerms of Service
HomeAI Prompt LibraryAI Video PromptsHonor Harrington Spaceship Combat Scene

Honor Harrington Spaceship Combat Scene

OpenAIGPT-6 AstraOpenAIvideo

Create game ready 3d fully rigged honor harrington most advanced spaceship from the book series called "honor harrington" When done with main model create combat scene where main model fights 3 hostile ships

Details
Type
AI Video Prompts
Aspect Ratio
16:9
Duration
0:18
Updated
Sep 9, 2026
Category
Sci-Fi3D RenderSpace
Source

How to use this prompt

  1. 1Copy the full prompt with the copy button above.
  2. 2Open GPT-6 Astra by OpenAI, or your preferred AI video generator.
  3. 3Paste the prompt and keep the camera and motion terms — they steer the cinematography.
  4. 4Match the example's settings (16:9 · 0:18 · Sci-Fi · 3D Render · Space), then iterate — small wording changes shift the output a lot.

Frequently asked questions

Which AI model generated this video?

This clip was generated with GPT-6 Astra by OpenAI. The prompt on this page is the exact text used to create it.

What settings does this prompt use?

The example was generated with GPT-6 Astra using: 16:9 · 0:18 · Sci-Fi · 3D Render · Space. Reusing these settings gives the closest match.

How do I get similar results?

Copy the prompt as-is first, then change the subject while keeping the camera, motion, and lighting terms. Video models are sensitive to wording, so expect a few runs.

Can I modify this prompt?

Yes. Prompts work best as starting points — swap scenes, adjust pacing terms, or change the aspect ratio to fit your project.

More GPT-6 Astra prompts

0:20
OpenAIGPT-6 Astra
Create a cinematic Tesla inspired electric vehicle concept using Blender Python Begin with an exposed battery skateboard chassis, then procedurally assemble the suspension, wheels, body panels, windows, and lighting Build six distinct animation stages covering engineering, assembly, integration, visual inspection, thruster activation, and vertical flight Use reusable geometry, realistic metallic materials, controlled camera movement, and cinematic studio lighting Make each stage parameterized so I can change vehicle proportions, assembly timing, and camera angles without rebuilding the scene Render a premium vertical 60 FPS animation
Details
0:10
OpenAIGPT-6 Astra
Create an original Japanese torii shrine scene using PixVerse and Blender. Complete these steps: Create the concept: Use PixVerse to generate a photoreal reference image. Lock the torii design, materials, lighting, and environment for consistency. Build the 3D scene: Create an editable textured model in Blender. Clean the topology, unwrap the UVs, and add suitable animation controls. Add movement: Include foreground leaves that partially obscure the wide shots, gently moving foliage, and birds flying visibly across the scene. Animate the cameras: Create a 12-second sequence with three shots: an arcing approach, a lateral detail shot, and a rising pullback. Keep movement smooth and framing clear. Render in Blender: Export a native camera video and a separate neutral gray clay reference video using the same animation. Save them beside the Blender project. Generate the photoreal film: Use PixVerse Seedance with the gray video for camera and action reference and the unchanged photoreal image for appearance. Generate a 1080p, 16:9 video with only natural environmental sounds—wind, rustling leaves, and bird wings. No music or voices. Check and deliver: Review every shot for consistent design, photoreal textures, visible birds, smooth motion, and correct audio. Fix issues within the approved budget and document remaining limitations. Save the editable Blender project, videos, reference image, and a brief production assessment in the same folder. Key points: Never use the colored low-poly video as the Seedance reference. Check the entire film, especially the final wide shot.
Details
0:20
OpenAIGPT-6 Astra
Create a complete, polished motion graphics video called “SIGNAL — Turn ideas into motion” Generate a 20-second motion graphics video at 1920×1080 and 120 FPS. Create the entire animation procedurally in Python. Include the complete editable Python source file. Build the animation, render every frame, inspect the output, and export the finished MP4. Do not stop at a storyboard, mockup, explanation, or individual frames. The final result must be a fully rendered motion graphics video. No external visual assets are necessary. Generate all typography, shapes, backgrounds, grids, lines, cards, transitions, and visual effects directly through code. Create a premium futuristic motion identity for a fictional creative technology company called SIGNAL. The visual language should feel like a combination of modern product design, editorial typography, Swiss graphic design, and high-end technology branding. Palette: Near-black: #111214 Warm white: #F4F1E8 Electric lime: #C7FF45 Soft gray: #A7AAA5 Use a clean geometric sans-serif font such as Geist, Inter, Helvetica, or a comparable system font. Typography should be large, confident, and tightly composed. Use generous negative space. Maintain consistent margins and alignment throughout the animation. Avoid unnecessary decoration. Every scene should have one dominant visual idea. The central visual motif is a SIGNAL LINE. The line begins as a tiny pulse. It expands into a waveform. The waveform becomes a grid. The grid becomes cards. The cards collapse into a single line. That line eventually constructs the SIGNAL wordmark. Every transformation should visibly originate from the previous object. Nothing should feel like an unrelated scene replacement. Motion should feel precise, fluid, mechanical, and slightly weighted. Fast transformations should always resolve into readable compositions. 0–2 seconds: Begin with a near-black background. Place a tiny electric-lime horizontal line in the exact center. The line should initially appear almost motionless. A subtle pulse travels through it. As the pulse reaches the center, the line expands horizontally. Reveal large warm-white typography: “IDEAS” Then underneath: “NEED SIGNAL.” Keep the typography left aligned. Small supporting text: “Turn noise into something worth noticing.” The lime signal line remains visible on the right side of the composition. Allow approximately one second of readable hold. 2–4 seconds: The signal line begins oscillating. Transform it smoothly into a clean waveform. The waveform should react rhythmically rather than randomly. Introduce several thin gray guide lines behind it. The waveform stretches across most of the screen. Large typography changes to: “FIND THE PATTERN” Small supporting copy: “Every idea starts as noise.” Animate individual waveform peaks with slight timing offsets. Keep movement controlled. Do not create chaotic audio-visualizer movement. 4–6 seconds: Freeze the waveform momentarily. Extend vertical lines downward from selected waveform peaks. Extend horizontal lines outward. These lines gradually construct a modular grid. The waveform itself should become one of the grid's horizontal lines. Do not remove it and introduce a new grid separately. Once the grid is established, reveal small labels inside several cells: “IDEA” “BUILD” “TEST” “BREAK” “LEARN” “SHIP” Highlight one cell in electric lime. Headline: “STRUCTURE THE NOISE” Hold long enough for the composition to remain readable. 6–9 seconds: Selected grid cells detach from the grid. They become floating rectangular cards. Each card should preserve its original dimensions and position during the beginning of the transformation. Then allow the cards to reorganize around the center. Use approximately six cards. Cards should have restrained shadows and minimal depth. Most cards should be warm white. One card should remain electric lime. Use short labels: “01 / IDEA” “02 / BUILD” “03 / TEST” “04 / REFINE” “05 / SHIP” “06 / REPEAT” The cards move into a clean horizontal sequence. Headline above: “MOVE WITH INTENT” Motion should have slight inertia while remaining controlled. No bouncing. No excessive overshoot. 9–12 seconds: Compress the cards toward the center. As they approach each other, reduce the gaps between them. The cards merge into one long horizontal strip. The strip becomes electric lime. Preserve the same horizontal axis. The strip begins bending smoothly. Transform it into a flowing continuous line that travels across the screen. Switch the background from warm white to near-black through a geometric wipe generated by the moving strip itself. Large warm-white typography appears: “MOMENTUM” Small supporting line: “ONE MOVE CREATES THE NEXT.” The signal line should travel around the typography without obscuring it. Give the line subtle depth using restrained shading. Do not use glow. Do not use neon bloom. 12–14 seconds: The moving line begins drawing geometric letterforms. First construct: S Then: I Then: G Then: N Then: A Then: L Each letter should emerge from the same continuous line. Avoid simply fading the word into existence. The viewer should clearly understand that the moving signal is physically constructing the wordmark. Once complete, display: SIGNAL Centered. Small text underneath: “TURN IDEAS INTO MOTION” Allow the composition to settle. 14–17 seconds: Collapse the SIGNAL wordmark back into the horizontal line. The transformation should reverse naturally. The line travels toward the center. Create three small pulses alon
Details
1:01
OpenAIGPT-6 Astra
Build a detailed sports car that transforms into a humanoid robot, with an x-ray mode and interactive exploded view
Details
0:17
OpenAIGPT-6 Astra
ROLE AND OBJECTIVE You are an elite motion-design studio composed of a creative director, senior 3D artist, motion graphics designer, cinematographer, lighting artist, technical animator, compositing artist, and sound designer. Reconstruct the supplied 16.55-second Sanctum / INF launch advertisement with extremely high visual fidelity. Your goal is a professional, broadcast-quality, 16:9 motion-design film that matches the reference video in its visual identity, animation language, camera choreography, pacing, compositions, transitions, typography, dimensional materials, and overall sense of polish. Do not create a generic cryptocurrency commercial. Reproduce the distinct artistic decisions of the reference. Study the reference video before producing anything. It takes priority over any approximate parameters in this specification. The final animation must feel intentionally designed and directed, not like a sequence of unrelated AI-generated clips. TECHNICAL DELIVERY SPECIFICATION Target duration: 16.55 seconds. Aspect ratio: 16:9. Master render resolution: 3840 × 2160. Working preview resolution: 1920 × 1080. Frame rate: 24 FPS. Progressive scan. High-quality antialiasing. Physically based 3D rendering. Consistent color management across shots. Carefully controlled bloom, reflections, depth of field, and motion blur. No unintended frame interpolation or discontinuity. Continuous audio with synchronized sound design. Final output: high-bitrate H.264/H.265 MP4. Preserve editable source files, assets, and animation timelines. AESTHETIC IDENTITY Create an exceptionally polished visual language combining premium 3D brand animation, futuristic financial-product storytelling, playful geometric composition, and cinematic lighting. The design should feel: Vibrant but controlled. Youthful but premium. Technically sophisticated yet friendly. Visually playful without being childish. High-energy but never chaotic. Glossy and dimensional rather than flat. Full of subtle optical effects, translucency, and colorful reflections. Combine two distinct worlds. WORLD A — BRIGHT IRIDESCENT BLUE: An immersive bright electric-blue gradient environment with cyan, sapphire, and subtle greenish or pastel illumination. The background contains large soft gradients, gently fluctuating light, and faint atmospheric texture. Floating glossy black INF tokens exist at different depths, some small and distant, others enormous and partially cropped by the boundaries. Small decorative geometric particles float among the tokens: four-pointed sparkles, soft concave diamond shapes, neon-green stars, yellow and orange squares, tiny magenta pieces, and white reflective accents. There is no literal room, landscape, ground plane, horizon, or architectural structure. The camera occupies an abstract, infinite, dimensional space. WORLD B — DARK CINEMATIC STUDIO: A nearly black or midnight-navy void illuminated with luminous cobalt, violet, and cyan spotlights. Subtle floor reflections suggest a glossy studio floor beneath the objects. Soft pools of blue light create grounding without introducing recognizable walls. Objects cast soft shadows and contribute reflected light to nearby surfaces. The scene has dimensional volume, controlled darkness, and pronounced separation between background and glowing 3D elements. Never use a simple black solid as the only environmental treatment. Preserve nuanced lighting, ambient diffusion, and slight colored atmospheric depth. CORE OBJECT DESIGN — INF TOKEN Model the primary INF token as a thick, glossy, circular 3D coin. GEOMETRY: Circular silhouette with significant visible thickness. Rounded edge bevel. Smooth polished cylindrical outer wall. Dark black or charcoal material. Slight glossy edge highlights. A circular face with a centered abstract INF graphic. FACE ARTWORK: A soft, multi-lobed, organically curved shape. Intersecting or overlapping rounded color fields. Iridescent gradient regions flowing from pastel lavender and blue into cyan, vivid lime, yellow, orange, and subtle magenta. The mark feels like abstract, liquid color geometry inside the black coin. Smooth boundaries and softly blended color transitions. No noisy texture, excessive surface detail, or illegible ornamentation. MATERIAL: Polished black polymer or ceramic outer body. Subtle metallic and glasslike response. Strong controlled specular reflection. Physical bevel highlights. Rich dark surface that never looks pure flat black. The center artwork is colorful and luminous but retains clear shape definition. ROTATION: Coins rotate along more than one axis. Use different angular velocities and phases for each instance. Their movements should reveal thickness and surface reflections. Avoid repetitive synchronized spinning. SECONDARY TOKEN SYSTEM Create a collection of distinct 3D liquid-staking token designs. Include recognizable variations of: Black SOL-marked token with colorful curved striped symbol. Purple and magenta glowing coins. Solana-inspired striped tokens. Yellow and orange branded coins. Cyan-and-white glowing symbol coins. Black-and-gold ring tokens. Smaller INF-style tokens. Each token must have: Real thickness. Individual material treatment. Physically coherent reflections. Distinct orientation. Independent rotation. Rim highlights. Controlled emissive or neon accents where appropriate. Appropriate front and side textures. Do not make every token identical except for the face image. PARTICLE SYSTEM Use a limited field of designed geometric accents. Types: Concave four-point sparkle forms. Bright lime-green diamond stars. Small orange and yellow quadrilaterals. Tiny violet and magenta specks. White glimmering star highlights. Distant miniature coins. Particles must vary in size, focus, distance, and movement. Foreground element
Details
0:25
OpenAIGPT-6 Astra
Configure my Codex workspace for hierarchical model selection and subagents: 1. Audit ~/.codex/agents and .codex/agents for subagent profiles fitting lead, workers, and adversary: > Give explorer, worker, and researcher model = 'gpt-6-luna', model_reasoning_effort = 'medium' > Assign worker an isolated git worktree branch to eliminate concurrent file conflicts > Create .codex/agents/adversary.toml with model = 'gpt-6-astra' (upgradeable to 'gpt-6.1-astra'), model_reasoning_effort = 'high', sandbox_mode = 'read-only' 2. Configure model selection in ~/.codex/config.toml: [session] model = 'gpt-6.1-sol' model_reasoning_effort = 'high' [agents] default_subagent_model = 'gpt-6-luna' default_subagent_reasoning_effort = 'medium' max_concurrent_threads_per_session = 8 3. Verify environment variables and routing: check for flags overriding reasoning effort or disabling multi-agent tools. Report them, change nothing 4. Add automatic delegation rules to AGENTS.md: > Summon @ adversary before finalizing multi-file architecture plans > Automatically trigger @ adversary when a test or compiler error repeats twice > Enforce @ adversary contract audit before declaring tasks complete or staging git commits Show every configuration diff first. Do not apply edits until confirmed
Details
0:25
OpenAIGPT-6 Astra
You are the founder, GPT-6 Astra is the operator, and every function of the company becomes a node with an owner, an output and a check. Seven layers do the work: > Functions -> nodes, edges, parallel work. > Agents -> one subagent per node, only the context it needs. > Code nodes -> anything with one correct answer runs as code. > Permissions, gates, return paths, weekly review. The founder approves money, hiring and anything public. Everything else runs in the loop and lands in company.md, checks.md and progress.md
Details
1:19
OpenAIGPT-6 Astra
Build a single self-contained HTML file: a 3D marble computer, in the spirit of Wintergatan's marble machine and the Digi-Comp II, that adds two 4-bit numbers using nothing but marbles falling through mechanical toggles. Hard rules: 1. One HTML file. Three.js from https://t.co/KCQbEZLusb via an import map, plus its OrbitControls addon. No other libraries, no physics engine, no external assets. 2. The mechanism is the computer. Each bit of the result is stored in a two-state toggle (flip-flop) that a marble physically flips as it passes. Carries happen because a marble leaving one toggle rolls on to the next. Do not compute the answer in JavaScript arithmetic anywhere. The displayed result must be read from the toggle states after the last marble stops. 3. Marbles move along tracks with believable gravity and timing. Nothing teleports. You may script motion along paths, but every toggle flip must be caused by a marble arriving at it. 4. Input: two rows of four switches (A and B, 0 to 15), set by clicking. A lever labelled RUN releases the marbles. A counter shows how many marbles have fallen. 5. Output: a row of five result toggles, most significant bit on the left, and a readout that shows the binary and decimal value read from those toggles. 6. A DEMO button runs 5+6, then 9+7, then 15+15, resetting between runs, so it can be screen-recorded without touching anything. 7. Looks: a wooden board, brass toggles, glass marbles, warm studio lighting, soft shadows, a slow camera that follows the busiest part of the machine. It should look good in a square 1080x1080 recording. 8. Short click sounds via the Web Audio API when a toggle flips, started only after the first user click. 9. It must run at 60 fps on a normal laptop and have no console errors. Output only the complete HTML file.
Details
Browse all GPT-6 Astra promptsExplore AI Video Prompts