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40 Best Prompts for Neural Networks – Boost AI Performance and Creativity40 Best Prompts for Neural Networks – Boost AI Performance and Creativity">

40 Best Prompts for Neural Networks – Boost AI Performance and Creativity

アレクサンドラ・ブレイク, Key-g.com
によって 
アレクサンドラ・ブレイク, Key-g.com
13 minutes read
ITスタッフ
3月 05, 2022

Recommendation: Define a clear objective for your prompts: boost output stability by 20% and creative diversity by 30% within four weeks. Build a lightweight measurement routine on your платформа so results from each run хранятся with timestamps and seed values, enabling quick comparisons across случайные seeds and configurations.

For дизайнер teams, the prompt system should guide the создании of modular templates that создает predictable outputs. Use a window of input lengths (e.g., 128, 256, 512 tokens) to map behavior across edges, middle, and mid-range cases. Include beautiful prompts that balance constraints with open-ended cues to encourage controlled creativity.

Publish a concise paper outlining the key важности of prompt structure, including methodology, metrics, and ablation results. Track outputs by categories and note when random seeds produce outliers. Build a rubric with five dimensions: fidelity, clarity, originality, safety, and latency.

To scale results, maintain a repository of 40 prompts and their variants. Store each prompt with a short descriptor, seed family, and measured outcomes; this ensures хранятся historical trajectories. Regularly prune low-performing prompts, and rotate random seeds to test robustness. Use a платформа to integrate with data pipelines and export results to a видеоролик summary for stakeholders.

Today, automate half of the experimentation and keep the pipeline compact: generate случайные prompts and apply a deterministic filter. Track progress сегодня and ensure coverage across edges そして middle; this balance delivers reproducible baselines того уровня.

Template Prompts for Scriptwriting and Storyboarding

Begin with a core modular prompt you reuse across scenes: action, objective, obstacle, setting, visuals, and parameters. To понимать контент and guide нейросетью outputs, attach directives for цвета, depth cues, and a stylized look (stylized) that the model can reproduce consistently.

Core fields (поля) include: Character, Goal, Obstacle, Location, Time of Day, Mood, Visuals, Color Palette, Depth, Textures, and Inpainting notes. Use colors (цвета) like blue and черный, add leather textures for a gothic vibe, and set Depth to guide framing. This setup lets you контролировать details and keeps контент coherent across scenes.

Ready-to-Use Template Prompts

Template 1 (Beat-driven scene): Beat: [Character] wants [Goal] in [Location] at [Time of Day]. Obstacle: [Obstacle]. Visuals: [Color Palette: blue, черный], Depth: [Depth], Style: gothic, Textures: leather, Mood: [Mood]. Camera: [Angle], Inpainting: [Yes/No]. Notes: [поля].

Template 2 (Dialogue-first frame): In [Location] at [Time], [Character] tells [Other] that ‘[Line]’. Context: [Setting], Mood: [Mood], Visuals: [Color Palette: blue, черный], Depth: [Depth], Style: [gothic, ultra-detailed], Textures: leather. Inpainting: [Yes/No]. Output: stage directions and line breaks.

Template 3 (Inpainting/refinement): Frame [N] needs adjustment to improve [Goal]. Preserve core elements: Color Palette [blue, черный], Depth cues [Depth], Mood [Mood], and Style [gothic, stylized]. Required changes: [Elements to modify], Output: revised panel notes and camera notes.

Prompts for Visual Style Consistency Across Scenes

Recommendation: Lock a single visual style anchor for all scenes and feed every prompt from a unified master prompt. Use фразы первых кадров to establish the vibe, such as blues-led palette, clean geometry, and subtle detailing (детализацией). The field хранится as a library of промтами that the команда will reuse across scenes, ensuring a cohesive look from начало до конца. This approach общается with дизайнеров, keeping надписи and motifs consistent, and will будет добавляет stability across the entire творчестве process. алису-inspired cues and rutkowski textures provide a recognizable signature without drifting into случайных variations. Such tactic will облегчать understood goals и помогать команде держать фокус на единой концепции.

Key Elements to Lock

Focus on five pillars: Color Palette, Typography & Signage (надписи), Lighting & Texture (детализацией), Framing & Composition, and Variation Controls. Maintain a blues-focused palette with muted neutrals so the vibe remains steady, and store exact values in the master prompts. Keep one typeface family across headlines and body text to avoid jarring shifts, and align all надписи to a single baseline. Apply soft, diffused lighting and a consistent texture grain to prevent fast shifts in mood. Preserve the same framing ratios and margins, ensuring field-wide consistency. Limit случайных variations by fixing seeds and guiding the команда through the промтами that enforce diese boundaries, so этот подход будет понятен каждому участнику.

Practical Master Prompts

Use a compact template across escenas to enforce coherence: “Maintain blues palette, muted neutrals, and unified typography; apply korresponding detailing (детализацией) and signature надписи. Use алису motif combined with rutkowski textures, ensuring a consistent vibe across scenes. Store these prompts (промтами) in a shared field; avoid случайных deviations; and communicate the rules to the команды to achieve a steady creative output. This will помогать to understand and apply визуальные правила in творчестве, and will be easy to deploy in any field project.

Element Master Prompt Snippet
Color Palette Maintain blues family with muted neutrals; keep hex range tightly bound across scenes; хранятся preset values in the master library (prompts) to ensure field consistency; rutkowski influence should stay subtle.
Typography & Signage (надписи) Use a single typeface family for headlines and body; keep consistent weight and kerning; align nadписи to baseline across all frames.
Lighting & Texture (детализацией) Soft, even lighting with minimal hotspots; uniform grain or texture; apply алису-inspired cues to maintain a cohesive feel (включая rutkowski textures).
Framing & Composition Fixed aspect ratio and margins; objects placed on a common grid; consistent crop rules to prevent shifts in поле view.
Variation Controls (случайных) Limit random seeds; enforce promotion of промтами that keep cohesion; clearly outline эти границы для команды, чтобы общение оставалось на одном уровне.

Prompts to Generate Narration, Dialogue, and Soundscapes

Recommendation: Start with a three-part prompt that explicitly requests narration, dialogue, and sound cues; this structure позволяет you генерировать cohesive scenes with precise mood. Reference disney-like whimsy, symbols, and a vintage vibe to set the tone. Prepare a quick style sheet (–style) and sheets to lock aesthetics, and use clear формулировать voice guidelines for characters. If you загружаете mood boards for the курсе, align the заданий expectations and keep себе focused. Include алисы to map voices and ensure consistency across lines.

Narration and Dialogue Prompts

  • Narration-first prompt: Write a narrative that guides the scene with a calm, steady cadence; генерировать vivid imagery using symbols and a disney-like warmth; weave in a vintage palette with golden light; keep sentences concise and rhythmic so the listener feels drawn into the moment.
  • Dialogue-focused prompt: Script natural dialogue between two characters with distinct алисы; let voices converse over a shared goal, using colorful descriptions and subtle symbolic cues; maintain a lively but readable tempo; ensure the exchange advances the plot.
  • Hybrid narrative prompt: Combine narration and dialogue with layered cues for pacing; apply мультиэкспозиция to shift between memory and present action; use –style and a compact sheets approach to lock a stylized voice that remains readable at 1–2 minutes of dialogue.
  • Character-driven prompt: Center on a key персонаж and a кота companion; reveal core theme through their interaction; keep the tone warm and playful, allowing symbols to surface in both lines and narration; end with a clear beat that invites response from another speaker.
  • First-pass prompt: For первый iteration (первых steps), generate a short scene that demonstrates how changing зaдание (задание) affects mood; note how возможность (позволяя) shifts the voice from curious to confident.
  • Voice-mapping prompt: Define three archetypes (hero, guide, foil) and assign алисы to each; craft lines that maintain distinct rhythm and colorfulness (colorful) while sharing a common thematic thread.

Soundscape Prompts

Soundscape Prompts

  • Layering prompt: Build a three-layer soundscape–ambience, motif, and foreground effects; use мультиэкспозиция to merge eras (vintage textures with modern clarity); specify a gentle transition from dawn to golden hour with subtle chimes.
  • Temporal evolution prompt: Create sound cues that evolve with the scene across курсе, referencing golden light and vintage atmospheres; include colorful texture cues and soft percussion to support narration without overpowering it.
  • Disneylike cue prompt: Integrate whimsical, symbol-based sounds (tabs, bells, fluttering strings) that evoke a playful yet dreamlike mood; balance them so the narration remains clear.
  • Character interaction prompt: Pair character sounds with their dialogue; use алисы to differentiate voices, and layer footsteps, clothing rustle, and distant environmental noises to deepen immersion.
  • Accessibility-focused prompt: Calibrate loudness so narration stays prominent while sound effects enhance mood; provide a fallback without overflow of cues for easy listening in a browser or speaker system.
  • Colorful texture prompt: Describe sound textures with explicit color adjectives (colorful, amber, emerald, slate) to guide sonic palettes; link each color cue to a sensory image that reinforces the scene’s mood.

Prompts for Composition, Framing, and Camera Guidance

Begin with a concrete setup: frame the кошку in a mid-to-tight crop on the middle third, keep the horizon level, and shoot at 1/250s with ISO 200 on an 85mm lens to maximize sharpness around the fur and eyes, achieving живой detail with детализацией.

Build depth with a three-step approach: drones deliver an establishing aerial, switch to a lower eye-level angle for intimacy, then close to a tight frame that isolates the face; shoot during golden hour to get warm, flattering light and avoid flat shadows.

Use framing cues that stay out of the way of the subject: place the subject on the left or right third to create tension, tilt the horizon slightly to emphasize foreground, and introduce contrast with a black element in the foreground; for mood, add неоновый accents and blues that sculpt the silhouette against the background.

Apply prompt-smart guidance to ensure consistency and control: lean on математические rules to describe geometry, anchor with middle, and generate варианты with –seed to keep variations aligned; иногда test different angles and distances, and посмотрите how small shifts alter mood and readability of the scene. Keep responses practical and readable, not vague.

Prompts to try now:

Prompt: кошку, black fur, живой взгляд, captured in a mid-shot on the middle third, golden hour backlight, неоновый blues glow in the background, drones overhead for context, camera: 50mm, f/1.8, 1/250s, ISO 200; –seed 12345

Prompt: кошку against a black backdrop, tight crop around the face, eyes on the upper third, subtle golden rim light, hints of blue neon in the shadows, middle alignment, drones in the distance for texture; camera: 85mm, f/2.0, 1/320s, ISO 100; –seed 6789

Prompt: black cat in motion, dynamic pose, living expression, background with soft golden haze and неоновый blues accents, composition built from three frames (wide, middle, tight) to show depth; camera: 35mm, f/4, 1/125s, ISO 400; –seed 4096

Prompts to Assess Output: Quality, Coherence, and Relevance

Recommendation: Use a triad of prompts to evaluate any output: Quality, Coherence, and Relevance. Define concrete targets: factual accuracy against references ≥ 90%, coherence score 4/5, and relevance alignment ≥ 85%. Log fixes in your workflow to improve работу over time, and test against reality to tighten the bar.

Quality prompts: Review the output for factual claims; for each claim, indicate Verified, Needs citation, or False, and cite a precise source from references. For visuals, rate on пикселей and note whether the drawing выглядит идеальная at the target resolution; if not, propose corrections. Check тексты and контента alignment, mark any mismatch, and прописывать corrections clearly. Mark unresolved items пока for the next pass, and capture notes with точные примеры. In этом шаге, reuse существующие references and keep your analysis tightly linked to reality.

Relevance prompts: Compare output against the original task prompt to confirm alignment with the requested objective. If the task asks for a логотип concept, verify color, typography, and branding constraints are respected and that the description stays on point. When brief mentions алису or артхаус творчестве, ensure content remains focused on the prompt and не отклоняется на выборочные детали. Specifically, check that слова used match the intent of the запрос и именно отражают требуемый контекст. Store evidence from the prompt and references to justify judgments.

Process and logging: Run the three prompts, collect scores, note discrepancies, and feed corrections back into the prompts. Use открытая rubric to keep a transparent record, and document how each change affects subsequent outputs. Re-run the evaluation until scores stabilize and the output reliably meets the targets in reality and в курсе задачи. Track how прописывать corrections changes the tone, structure, and content accuracy.

Practical tips: Use chatgpt for rapid sanity checks and, gently, compare outputs against references without overfitting to a single source. Allocate time тратить on prompt refinement rather than on minor rewrites, and preserve your own voice (своё слова) while aligning with the task requirements. When describing edits, write in clear, actionable terms and include exact phrases to replace in the текстa. Keep an открытая mindset toward iterative improvements and document each iteration in the курсе guidelines and references.

Prompts for Safety, Licensing, and Originality Considerations

Begin every prompt session with a three-step audit: Safety, Licensing, and Originality. Set guardrails for harm prevention, verify licensing of the data and models used, and run an originality check on outputs. Favor open licenses when possible and maintain a concise provenance log. Use alice as a fictional testing persona to probe edgy prompts without affecting real people.

Safety: build a robust safety wrapper that rejects prompts asking for illegal activity, violent harm, or privacy invasion. Define non‑negotiables (no personal data, no sexual content involving minors, no hate speech). Use a moderation layer that flags risky terms and converts them into safe, clarifying questions. For creative tasks, label surreal prompts as fiction to prevent misinterpretation by end users.

Licensing: catalog data sources and license terms; prefer open datasets with clear, machine-readable licenses (CC0, CC‑BY). For generated outputs that closely resemble source material, attach a license notice and, when required, attribution. Maintain a source log with the dataset name, license, URL, and date of usage.

Originality: run automated checks to detect verbatim passages and long-form quotes; cap quotes to under a small threshold; encourage paraphrase and novel structure. When outputs resemble public-domain or CC‑licensed content, note the attribution and adjust prompts to avoid replication. Emphasize creative rephrasing, new imagery, and unique combinations.

Prompt design guidance: craft prompts that clearly express intent, safety constraints, and licensing expectations. Example prompts: “Produce a surreal cyberpunk scene that conveys human emotion while using original wording; do not reproduce more than eight consecutive words from any source; cite sources if required.” Another example: “Describe a concept in reality-inspired fiction using a fresh voice and open data assets, avoiding exact sequences from training texts.”

Evaluation rubric: safety compliance, licensing clarity (proper attribution and license compatibility), originality score determined by a similarity detector and human review. Track winner prompts that consistently meet criteria and reuse their templates to accelerate safe creativity.

Governance: publish a lightweight policy and invite feedback from data rights holders, researchers, and creators. Keep a changelog of licensing amendments and safety updates. Regularly verify that external prompts and user inputs do not introduce new liabilities.

Practical tips: use versioned prompts; store prompts and outputs with tags for licenses; refuse to process content flagged by rights holders; rotate models if new safety concerns appear.

Conclusion: with rigorous safety, licensing discipline, and emphasis on originality, you gain reliability and creativity while shielding creators and users.

Roadmap to Deploy 40 Prompts in a Video Production Workflow

Begin by mapping each prompt to a stage and run a focused 7‑day pilot with a batch of assets; this concrete start yields actionable feedback fast.

Align prompts with the production workflow

  • Catalog prompts by asset type (картинку) and product family (such as posters, trailers, overlays), and label такие outputs with clear definitions.
  • Tag prompts by task: concept art, boards, captions, lower thirds to streamline open interface collaboration; humans will guide the process.
  • Define коррективы and a clear approval flow with humans – clients попросили specific changes; align with project goals.
  • Set naming conventions and include –attach tokens to relate prompts to media assets like фотографии и изображением.
  • Incorporate случайные variations for testing different lighting (dark) and backgrounds to measure perception.
  • Prepare example prompts that описать target look, from whimsical to alien to reality, and такие spectrums.
  • Guarantee platform compatibility across компьютер workstations and cloud pipelines so assets flow without manual handoffs.

Automation, review, and delivery

  • Architect a loop: prompt invocation → render → QA → feedback → revision; keep open интерфейс and transparent collaboration for humans and contractors.
  • Use a single платформа to orchestrate tasks, store фотографии, and track changes; ensure были stakeholders can review progress.
  • Capture asset metadata and checkpoints; описать decisions for color, lighting, and composition to maintain стиль и искусства.
  • Enforce pixel‑perfect standards and document a стиль guide to ensure consistency across shots and scenes; pixel precision supports реалистичность.
  • Deliver final assets with end‑to‑end packaging and backups, ready for editors to drop into the timeline at конце проекта; клиент попросили updates as needed.
  • Maintain версии и журнал изменений to enable future проекты with такие требования, leveraging инструменты and платформа capabilities.