How to Prompt Veo 3 with Images – A Step-by-Step Guide

Begin with a tight, specific prompt tied to a reference image. Attaching a precise prompt to your image lets Veo 3 follow intent, позволяя you shape the result more directly. Start with a concise subject and then add targeted qualifiers to define style, mood, and composition, using the image as an anchor. This keeps outputs aligned with your creative direction from the first pass.

Prepare your image and set up a grounded color reference. Export the reference in a web-friendly color space (sRGB) and keep a clear filename. Use an adobe LUT for color consistency across runs to keep hues aligned, enabling more predictable results. Define a few anchor adjectives such as vintage or ancient to set a baseline aesthetic before you prompt.

Craft a prompt skeleton that captures subject, style, lighting, and texture. Build a reusable template: subject, style, lighting, texture, composition. For power, add descriptors like vintage, ancient, aesthetic, swirling, floating, howling details. The Russian words создавайте variations and использовать anchor imagery to keep outputs aligned with the image, allowing you to guide Veo 3 with specific language and intent.

Set style influence and image fidelity with clear controls. In Veo 3, tune the control knob to adjust how strongly the image anchors affect the result. Start at 0.5 and adjust to 0.3–0.7 depending on your needs. Pair prompts with precise color cues, texture notes, and composition constraints to maintain a consistent aesthetic across frames, using the image as your main reference.

Iterate and refine with targeted feedback. After each render, compare to the reference and adjust adjectives or subject boundaries to reduce drift. If results drift, tighten your prompts by reinforcing anchors like their color palette and silhouette, then re-run with a refreshed prompt. This method yields repeatable outcomes without extra guesswork.

Define the Target Scene and Output Intent

Craft a single, precise prompt line that names the scene, the subject, and the motion you expect, then lock the output intent to that line.

Define your target scene by combining place, mood, and motion in one sentence. Use terms like mysterious and howling to set tone, and specify key elements that must appear, such as trees, snow, wind, and a distant lantern. Include a timing cue with секунд to guide pacing.

• Motion and elements: specify the core motion, such as a slow pan and subtle movements, while keeping transitions smooth. Use the word elements and movements, and ensure the same visuals are recognizable across frames. Though you can tweak tempo, the scene retains its identity without abrupt shifts.
• Output intent: set target resolution, aspect, color mood, and pacing transitions. Define the same transitions across shots, and note how to preserve lighting and textures. Reference openai guidelines for formatting prompts and, when helpful, DeepMind- or conference-style notes for clarity. Include a line about Ultra version expectations. For быстро iteration, keep the wording tight and actionable.
• Template usage and workflow: provide a download-ready prompt skeleton your team can reuse. Ensure the template retains core cues, preserving the main elements while adapting to other subjects. Use the same structure across version updates so you can compare results efficiently, and mark notes for the conference QA process. Also include a quick test checklist to verify the output.
• Practical example: show a compact prompt block that combines mood, subject, motion, and transitions. For example: “Scene: a mysterious, howling night in a snowbound forest; Subject: lone traveler; Motion: slow pan, wind-swept cloth, micro-movements; Transitions: gentle fades; Output: 1920×1080, 30fps, cold color palette; openai: guidelines; deepmind: stylistic cue; version: Ultra.” You can download this as a starting point and adapt for your needs, retaining the same structure version after version.

Draft Text Prompts: Subjects, Actions, and Context

Draft three focused prompts, each pairing a clear subject with a single action and a concrete context. Use the Subject + Action + Context formula to keep results predictable and easy to compare. For subjects, pick one core noun–scientist, city, or gemini–and pair it with a direct verb: animates, creates, photographs. Ground the scene with a setting such as a lab, a city street, or a studio to anchor visuals. This structure yields sharper картинки and excels at consistency, and works directly with version 3 of Veo. After you draft, refine by adding lighting, texture, or color notes in subsequent iterations. Keep prompts concise; считанные details form часть вашего workflow and align with вашего vision. Always respect правообладателей and avoid copyrighted references. If you want motion cues, include a tag like “анимировать” to signal movement. You can vary prompts across subjects while keeping the core pattern, which helps your collection stay cohesive.

Subjects and Actions

Subjects and Actions: Select one core subject per prompt–scientist, city, or gemini–and attach a direct verb: animates, creates, photographs, or builds. Keep to two nouns max to maintain focus; this approach excels at clarity and simplifies comparison. Ground the action with a setting such as a lab, a city street at dusk, or a studio. This clarity yields sharper картинки and helps you gauge how lighting, texture, and color affect the read. Their tone can shift with color choices, so decide whether you want documentary, cinematic, or surreal mood. A pyramid motif or googles-inspired chrome can guide composition without changing the core subject. This keeps the workflow as часть and supports iteration across version cycles.

Context, Mood, and Variation

Context anchors the action; specify time and locale–city at dawn, lab under neon, or studio during blue hour. Add lighting notes, weather, and background activity to shape a narrative without crowding the subject. Use adding prompts to layer texture: after you set the subject, try a pale cool palette or warm cinematic tone. Veo offers a straightforward workflow; their prompts support you with consistent controls, and the same Subject + Action + Context framework applies across version cycles. For a cohesive set, repeat the core subject while varying context: the city can become a pyramid-backed skyline in one shot or a reflective surface in another. This keeps your картинки aligned with вашего vision while respecting правообладателей.

Prepare Reference Images: Resolution, Formats, and Consistency

Start with 2048×2048 PNGs to keep texture crisp and realism high; this baseline supports gen-3 prompts well. Keep the color space in sRGB and export as 8-bit PNG masters; if you need smaller files, export JPEG at quality 90 as a backup, but never replace the master. Name files with a version tag (ref_v1, ref_v2) to track changes. Gather photo references that show the subject from multiple angles, with lighting kept consistent and backgrounds kept simple; for painting-like realism, these references feed prompts with realism et features that translate well into prompts. Avoid порнографию and limit to публичных источников such as museum archives or open stock libraries.

Resolution and Formats

Resolution guidance: 2048×2048 for square references; use 2048×1152 or 1920×1080 for landscape shots when you need wider framing. Keep all references in the same aspect ratio to preserve same framing across the set. Acceptable formats: PNG for the master and JPEG (quality 90-95) for sharing; avoid TIFF. Ensure color profile remains sRGB and embedded in all files. Static frames (статичные) should retain edge detail so they translate cleanly into realism when generating with gen-3 prompts.

Consistency and Workflow

step-by-step checklist:

Step 1: Collect photo references that match the painting style you want and the realism you expect. Start with a clean baseline shot, using a tripod and a fixed focal length (50mm-equivalent is a safe default).

Step 2: Lock lighting. Use daylight (5500–6500K) or a single artificial source to keep shadows and color temperature consistent across all shots. If you reference videos, avoid background chirping; keep the frames статичные.

Step 3: Standardize framing. Crop each image to the same aspect and scale so that each shot aligns into prompts; keep backgrounds simple to avoid distracting features.

Step 4: Label and organize. Tag files with angle, shot type, and version (ref_v1, ref_v2), and store them in a dedicated reference folder. This keeps the references статичные and makes it easy to generate new prompts without drift. Use инструменты to batch adjust color profiles and crop consistently.

Step 5: Prepare for анanimировать this set or создавать a sequence. Ensure every image supports smooth transitions and preserves realism and features across frames.

Finally, review for порнографию or other inappropriate content; revert to trusted sources and keep materials always публичных.

Upload and Manage Images: Linking, Accessibility, and Privacy

Always attach descriptive alt text for each image and set a clear privacy tag before linking assets in Veo 3. This flow helps создавать a structured library for imaging that supports quick retrieval and accessibility.

Linking and metadata: In the studio интерфейс, link each image to the relevant ролики, this flow, который associates assets with exact éléments such as source, licensing, and version. It also предоставляет metadata templates needed for review and keeps the chain auditable with clear ownership and timestamps, with support from the team.

Accessibility checks ensure every image has визуальных descriptions, keyboard navigation, and readable contrasts. Include lights in previews to signal status and describe movements when assets show motion to help screen readers interpret the scene, like a quick walk-through of movements.

Privacy controls who can download and view assets. Create private folders for материалы и internal previews, enforce role-based access, and keep audit logs. Misconfigurations can cost долларов, so verify sharing settings before publishing.

Automation and maintenance: The tryveo3ais model can suggest alt text and tags, reducing manual workload. Our support team provides guidance that keeps the workflow tiger-speed and creates reliable assets from collected materials, with careful tracking of éléments such as source and licenses.

Balance Text and Image Prompts: Priority, Sequencing, and Weighting

Recommendation: Drive most output with text prompts (60–70%), layer image prompts (30–40%) to shape mood, composition, and texture. Use Veo 3’s inteface sliders to adjust weights in 5% steps and run quick tests in seconds (секунд) to compare results. Include painting, logo, or city motifs in image prompts to anchor style; including tiger motifs can create dynamic looks. The gemini features and yeschat feedback help you generate precise prompts during action. Track usage (использование) and stay within ограничений and запретов; budget is tracked in долларов.

Priority and Weighting

Set the most impactful attributes in text prompts and reserve image prompts for surface quality. Use a baseline of 60% for text and 40% for image cues, then shift toward 70/30 for stronger narrative control. Apply grading to compare results across iterations, aiming for a 4–5 score on fidelity to core concept and branding. Use интерфейс controls to lock weights while you create, and record notes to refine prompts for future runs.

Sequencing and Flow

Start with broad text prompts to define cityscapes, action, and composition; then apply image prompts to guide zoom-out, perspective, and lighting. Layer prompts from general to specific so the generator builds coherence. The process discovers trade-offs between composition and style; use yeschat to confirm alignment with goals while you iterate. Include steps that lead into refinements and adjustments, ensuring a smooth transition from concept to rendering.

Best practices: keep action concise and iterate; use zoom-out prompts to test layout against details; monitor usage against budget (долларов) and interface signals to adjust. Discovering the right balance helps you push creative boundaries without triggering запретов or огранничений. dont forget about exploring моделевые yeschat loops and платформа features to refine how you generate prompts and maintain control over the end result.

Specify Visual Style: Lighting, Color, and Composition Rules

For Veo 3 prompts, lock a three-point lighting setup: key light at 45 degrees, a soft fill, and a backlight to carve your subject from the background. These rules offer repeatable results across scenes and support a consistent бренда look in картинки; when you work with публичных материалов, keep lighting steady to avoid drift. Use a close-up frame to reveal texture and motion in action moments, while maintaining sharp focus with precise shutter timing. If you want wind-driven motion, simulate a breeze to lift fabrics, which adds motion without blur. This approach имеет crisp, cinematic feel and excels at capturing tactile details–tiger fur, vintage fabrics, ancient textures. If you source stock elements, планируйте считанные доллары and budget accordingly, then export passes via adobe tools to preserve color fidelity and enable smooth transitions. To prompt these shots effectively, используйте the same lighting cues across scenes and keep exposure stable for repeatable results.

Lighting and Mood

Set color temperature within a narrow range (warm tones for intimate moments, cool tones for clinical looks) and keep key-to-fill ratios consistent while you adjust framing. Wind and motion cues can be added by slight subject movement, but the main subject remains tack-sharp in close-up or action shots. These prompts используют clear indicators for lighting positions, shadows, and highlights, which makes color grading more predictable and supports the brand’s картинки and overall брeнда alignment.

Color, Texture, and Transitions

Choose a 2–3 hue palette and apply it across all assets; transitions between frames should feel natural by preserving hue relationships rather than reworking the grade. For a vintage vibe, drop saturation a touch and emphasize texture; for an ancient look, boost micro-contrast in shadows to reveal surface detail. Ensure кристаллизация деталей stays readable on small screens, and keep tiger textures or other high-contrast elementos sharp in close-up shots. When finishing, export via adobe workflows and maintain a uniform look across these картинки, so бренда recognition remains strong and consistent. These steps excels at producing controlled, repeatable results that your team can reuse in campaigns that may have limited budgets and tight timelines. Use these guidelines to support your creative action while you build public-facing assets that has a cohesive feel and clear visual storytelling, даже если you’re working with limited resources.

Test, Iterate, and Document Changes: Quick Validation Steps

Start with a baseline prompt and validate against the most critical criteria: visual fidelity, aesthetic alignment, and reliable close-up quality across статичные frames and ролика sequences, сейчас позволяя iteration by adjusting prompts and image inputs via yeschat, then download results for comparison of визуальных outputs.

1. Define baseline metrics for the Veo 3 модель: required resolution, color consistency, preservation of materials, and the ability to reproduce the chosen aesthetic across статичные frames and close-up portions of ролика. Note how prompts influence swirling textures and ensure processing can be applied automatically to different input sets.
2. Run baseline once, save outputs as статичные frames and close-up segments, and download the results for comparison. Label files with the prompt variant and input materials used, enabling reproducibility for the модель and for future апскейла checks.
3. Apply a quick evaluation checklist: does the output match the designated aesthetic, are визуальных details preserved, and does the close-up retain sharp edges without artifacts? Mark any deviation as required to adjust and log the exact prompt tokens and parameter values for traceability.
4. Iterate with targeted changes: modify descriptors, test alternative image inputs, and apply апскейла options to compare at higher resolution. Re-run, download new results, and measure improvements against the baseline to confirm gains without regressing preservation of materials.
5. Document changes in a concise changelog: which prompts and parameters were used, which steps were апскейла adjusted, and what outcome each version produced for кторый scenario. Keep notes in публичных repositories when sharing results, leaving sensitive data out and ensuring that leaving the old version intact is avoided to prevent confusion.

Quick Validation Checklist

• Most critical criteria met: визуальные fidelity, сохранение материалов, and preservation of textures across статичные and close-up frames.
• Outputs downloadable with no color drift or alignment loss, ready for side-by-side comparison.
• Апскейла path tested at multiple scales to verify model stability and confirm that the aesthetic remains intact in higher-res deliverables.
• Changelog updated after each run, with a clear yes-or-no record and references to which which which which который variant performed best.
• All inputs and prompts tracked, allowing leaving no ambiguity about which settings produced the observed results, and ensuring публичных sharing is controlled by a chosen policy.