Deliverable and audience
Name the asset, final channel, audience, aspect ratio and acceptance criteria before describing style. A prompt for a paid product hero needs different evidence and safe areas from a private concept frame.
Alibaba · AI video generator · Last checked August 28, 2026
Krea AI 2.0 Beta Wan 3.0 Prompt Guide
A detailed, independent prompting workflow for using Wan 3.0 in the context of Krea AI 2.0 Beta. It translates the model’s documented capabilities into clear briefs, original examples, reference-control instructions, iteration methods and production checks for real-time visual ideation, art direction and iterative image creation.
This page does not confirm that Krea AI 2.0 Beta currently exposes Wan 3.0 or every developer control. Verify the live model selector, plan, credits, reference limits, export options and commercial terms before production.
Start with the documented model scope
Longer multimodal video generation with flexible duration, references, audio and continuity controls. The current catalog records these relevant abilities: Text-to-video and image-to-video; First and optional last-frame guidance; Reference-to-video with images, video and audio. Accepted inputs are described as Prompt, First/last frames, Multimodal references, Optional audio guidance. Those facts define what a prompt may reasonably request; they do not guarantee identical controls or results in every serving product.
Prompting cannot repair a mismatched model choice. Use Wan 3.0 when its documented modality and controls fit the brief, then compare a short test batch against the same acceptance criteria. Keep the model version, prompt, references, settings and approved output together so a later revision remains reproducible.
The Wan 3.0 prompt structure
Deliverable → subject → action or layout → environment → camera and light → reference roles → audio → constraints → acceptance test.
Subject and invariants
Describe the primary subject once, then list identity, geometry, color, wardrobe, labels or proportions that must stay stable. Separate required facts from optional visual exploration.
Action or composition
Write one readable action and its state changes. Use ordered beats when timing matters; avoid asking several subjects to perform unrelated actions at once.
Camera, light and material
Choose compatible camera and lighting instructions. Name the motivated source, direction, softness and material response. Too many lens, angle or lighting cues compete with one another.
Reference roles
Give every image, frame, clip or audio reference one job. Say which reference controls identity, layout, motion, palette, material, voice or timing, and which elements may change.
Constraints and review
List only constraints that protect the brief: no unapproved logo, no invented copy, preserved object count, stable travel direction, exact approved text, or a fixed end frame. Finish with an acceptance test.
Complete Wan 3.0 prompt examples
Replace the creative facts below with approved project details. Keep the structure stable while testing one variable at a time; changing the subject, composition, style, camera and references together makes failures difficult to diagnose.
Longer scenes master prompt
Create a production-ready longer scenes shot for real-time visual ideation, art direction and iterative image creation. Subject: one clearly described lead subject with approved identity, wardrobe, material and prop details. Action: one readable action with a clear beginning, development and end state. Environment: define foreground, subject plane and background, with one motivated light source and physically plausible contact shadows. Camera: state framing, camera height, lens feel and one intentional movement; avoid conflicting camera commands. Timing: divide the action into beats and reserve the final moment as a stable handoff frame. Audio: specify dialogue, ambience, sound effects and intentional silence separately; do not request unapproved music or voices. Preserve identity, object count, travel direction and screen geography. No logos, invented text, watermark, sudden scene changes or unsupported factual details.Reference-controlled prompt
Assign every reference one role
Use Reference 1 only for subject identity and wardrobe. Use Reference 2 only for environment geometry and lighting. Use the first frame to preserve the approved composition. Generate a product and character continuity sequence with one continuous action: the subject enters from frame left, pauses at the marked object, then turns toward the light. Keep face, clothing, object count, floor plan, travel direction and time of day consistent. Camera performs one slow lateral track; no cuts, zoom, orbit or angle change. End on a stable medium shot with one second of visual hold. Use quiet room ambience, one synchronized object sound and no dialogue unless approved copy is supplied.Correction prompt for a second pass
Change only the failed variable
Revise only the failed motion. Preserve the approved subject identity, costume, environment, camera position, lighting, timing, audio plan and end frame. Replace the current hand action with one anatomically plausible reach: elbow bends first, hand approaches the object in a straight path, fingers close once, object remains rigid, then the arm returns to rest. Keep the camera locked and all background objects stationary. Do not introduce a cut, new prop, extra person, caption or sound.Concise comparison prompt
Hold the brief constant across models
Generate one short shot for real-time visual ideation, art direction and iterative image creation: Longer scenes. Use one focal subject, one readable action or hierarchy, one motivated light source, a restrained palette and a clean background. Preserve approved identity and object geometry. Leave safe space for final captions. No logo, watermark, invented statistics, decorative text or unrelated objects. Return a result that can be evaluated for prompt adherence, composition, physical plausibility and revision effort.Model-specific controls to describe explicitly
Inputs
- Prompt
- First/last frames
- Multimodal references
- Optional audio guidance
Name what each input controls. More references are not always better; remove redundant or contradictory material.
Best-fit jobs
- Longer scenes
- Product and character continuity
- Reference-driven motion
- Storyboard-to-video
Choose one primary job per generation. Separate exploratory concepts from factual, regulated or identity-sensitive delivery.
Variants and endpoints
- Image-to-Video, Reference-to-Video and related endpoints
Match the prompt to the selected route. A text-to-video brief, reference edit and continuation request need different preservation instructions.
Writing motion, camera and timing
Describe visible state changes rather than abstract energy. A useful motion sentence identifies the actor, action path, pace, object response and end state. If several actions matter, place them in an ordered beat list. Preserve screen direction and object count across the shot, and avoid combining a dolly, orbit, zoom, handheld shake and crane move unless the model documentation explicitly supports the intended sequence.
Write the first and final frame as compositions. The first frame establishes identity, balance and motion room; the final frame creates an edit point or continuation anchor. For image-to-video work, approve anatomy, product geometry, typography, rights and background details in the still before spending video credits.
Separate dialogue, voice identity, ambience, effects and music. Quote only approved dialogue, assign each sound an on-screen cause, and state where silence is intentional. Generated speech, lyrics, factual narration and recognizable voices require additional rights and accuracy review.
Troubleshooting Wan 3.0 outputs
| Failure | Likely cause | Next prompt change |
|---|---|---|
| Weak focal point | Too many subjects have equal priority | Name one primary subject, assign positions to supporting objects and remove decorative details. |
| Reference identity drifts | Reference roles conflict | Move identity preservation first, give each reference one job and reduce style pressure on protected details. |
| Unrelated areas change | Target region or invariants are vague | Name the marked region, list everything that must remain fixed and request one edit per pass. |
| Output looks artificial | Camera, light or material cues conflict | Choose one lens perspective, one motivated light source and physically plausible surface behavior. |
| Motion deforms or flickers | Action has too many simultaneous state changes | Shorten the shot, simplify the action, stabilize the camera and use a clean reference frame. |
| Text or facts are wrong | The model is being asked to invent copy or evidence | Supply approved concise copy, quote it exactly, remove invented statistics and complete a factual review after generation. |
Before generation
- Confirm the selected model, route and documented modality.
- Define one deliverable, audience and acceptance test.
- Use rights-cleared references with explicit roles.
- Separate protected facts from creative choices.
- State aspect ratio, safe area and downstream edit needs.
- Save the prompt, references, settings and model version.
After generation
- Check prompt adherence and the primary hierarchy.
- Inspect identity, anatomy, geometry, physics and continuity.
- Verify every word, number, quotation and factual visual.
- Review consent, copyright, trademark and disclosure needs.
- Confirm export, watermark and commercial-use terms.
- Record why the selected output passed the brief.
Frequently asked questions
Does a longer Wan 3.0 prompt always perform better?
No. Add detail that resolves ambiguity, not decorative repetition. A shorter prompt with a clear subject, spatial plan, reference role and acceptance test is often easier to iterate than a long list of conflicting style terms.
Should negative prompts contain every possible defect?
No. Use constraints that protect the brief—identity, object count, approved copy, layout, motion direction or rights. A generic defect list can compete with the positive instructions and makes diagnosis harder.
How should Wan 3.0 be compared with another model?
Hold the deliverable, prompt structure, references and acceptance test constant. Compare usable-output rate, adherence, revision time, continuity, rights fit and cost per approved asset rather than selecting the most visually dramatic first result.
Does this guide confirm access inside Krea AI 2.0 Beta?
No. It explains an independent workflow based on the recorded model capabilities and linked developer source. Check Krea AI 2.0 Beta and the model developer for current availability, controls, pricing and terms.
Sources and related workflows
Verify current facts at the official Alibaba source. The examples above are original production prompts written for this independent Krea AI 2.0 Beta guide.
Continue with the model directory, Wan 3.0 capability guide, tutorial, broader guide, and pricing notes.
Independent editorial guide. Not affiliated with or endorsed by Alibaba or the referenced brand.