# 🎬 Awesome Wan 3.0 Prompts — 120 Original AI Video Directing Briefs

[![English](https://img.shields.io/badge/English-Current-brightgreen)](README.md)
[![简体中文](https://img.shields.io/badge/简体中文-阅读-red)](README.zh-CN.md)
[![日本語](https://img.shields.io/badge/日本語-読む-blue)](README.ja.md)
[![Español](https://img.shields.io/badge/Español-Leer-blue)](README.es.md)
[![Prompts](https://img.shields.io/badge/Wan_3.0_Prompts-120-blueviolet)](prompts/README.md)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/flaqai/awesome_wan-3-0-prompts/pulls)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)

[繁體中文](README.zh-TW.md) · [한국어](README.ko.md) · [Français](README.fr.md) · [Deutsch](README.de.md) · [Português](README.pt-BR.md) · [Italiano](README.it.md) · [العربية](README.ar.md) · [Русский](README.ru.md) · [Bahasa Indonesia](README.id.md) · [ไทย](README.th.md) · [Tiếng Việt](README.vi.md) · [All 15 languages](locales/README.md)

> A practical collection of **120 original Wan 3.0 AI video prompts** for cinematic storytelling, product commercials, shoppable retail, beauty, UGC, dialogue, localization, wildlife, seasonal processes, industry, manufacturing, education, architecture, mobility, and professional production control.

| [Browse 120 prompts](prompts/README.md) | [Submit a tested prompt](https://github.com/flaqai/awesome_wan-3-0-prompts/issues/new?template=prompt.yml) | [Add a translation](CONTRIBUTING.md#translations) | [Open a pull request](https://github.com/flaqai/awesome_wan-3-0-prompts/pulls) |
|---|---|---|---|

![Awesome Wan 3.0 AI video prompt collection](assets/wan-3-prompt-collection-hero.webp)

## What makes these prompts useful

- Built around visible action and cause-and-effect, not keyword piles.
- Designed for text-to-video, image-to-video, start/end frames, reference-to-video, and video editing.
- Includes camera paths, timing, lighting, sound, identity locks, and relevant negative constraints.
- Works with multilingual visual descriptions and spoken dialogue.
- Organized with descriptive filenames and semantic headings for search and downstream gallery projects.

## Share a prompt that worked

Useful outside submissions are actively welcome. If a Wan 3.0 prompt produced a result worth studying, use the [guided prompt submission form](https://github.com/flaqai/awesome_wan-3-0-prompts/issues/new?template=prompt.yml). One submission should contain one complete prompt, its workflow and settings, a result link or screenshot where possible, and only assets you are allowed to share. Maintainers can then review, test, rewrite for consistency, and place it in the right production category.

You can also submit a pull request for a new scenario, a failure/success comparison, a more natural localization, or an accessibility improvement. Contributions do not need to be English-first: dialogue and on-screen language may use any language when the visual direction and speaker timing remain clear. Read the [contribution guide](CONTRIBUTING.md) before sending media or reference files.

> [!IMPORTANT]
> Wan 3.0 availability, duration, resolution, reference limits, and audio features may vary by region, product, or preview program. This repository does not invent fixed specifications. Use the controls shown by your current platform. Most templates can also be simplified for Wan 2.6 or 2.7.

## Quick prompt formula

```text
[Output] duration + aspect ratio + visual medium
[Subject] reusable identity anchors + immutable details
[World] time + place + weather + spatial layers
[Action] trigger → continuous motion → visible result
[Camera] shot size + angle + one movement path + ending frame
[Look] light + palette + material + motion treatment
[Sound] ambience + action sound + music + dialogue, if supported
[Constraints] what must remain + the most likely failure modes
```

Minimal example:

```text
8 seconds, 16:9, naturalistic cinematic footage. At dawn on a rain-washed old street, a young postal worker in a dark green coat rides a vintage bicycle through a shallow puddle. The front wheel parts the water into two low sprays; droplets fall back onto the stone instead of floating. The camera tracks from knee height at the rear-left, starts as a medium environmental shot, moves closer to the hand and bell, then rises toward warm light at the end of the street. Realistic speed and soft overcast light. Sound: tire through water, a distant shop shutter, one clear bicycle bell. Keep the face, coat, bicycle geometry, and travel direction consistent. No text, logos, extra limbs, jump cuts, or floating objects.
```

## Choose a workflow

| Mode | Prioritize | Reliable instruction pattern |
|---|---|---|
| T2V | World, subject, action, camera | Describe one event before adding style |
| I2V | Motion and amplitude | Keep the input composition; specify exactly what moves and by how much |
| Start/end frames | Explainable transition | Describe the trigger, intermediate physics, and final state |
| R2V | Clear reference roles | “Image 1 = identity; Video 1 = motion rhythm only” |
| Video edit | One changed dimension | “Change only the weather; preserve action, timing, subject, and camera” |
| Audio/dialogue | Speaker timing | Use short lines; identify language, emotion, pause, and silent listener |

Read the detailed [prompt engineering guide](guides/prompting-guide.md), [model and platform compatibility notes](guides/model-capabilities.md), and [troubleshooting handbook](guides/troubleshooting.md). These core guides are maintained in Simplified Chinese and include language-independent templates; the API cost guide below is in English.

## Wan 3.0 overview: one family, four production paths

Wan 3.0 is most useful when treated as a production family rather than a single text box. Start from text when the idea is still open, animate a designed keyframe when composition matters, edit an existing clip when only one dimension should change, and use reference-driven generation when identity or motion continuity is the priority. Across all four paths, the prompts in this repository emphasize temporal cause and effect, deliberate camera movement, stable subject anchors, physical motion cues, sound direction, and a short list of shot-specific constraints.

| Wan 3.0 path | Best starting material | Best use case | Prompting priority |
|---|---|---|---|
| Text to video | A written creative brief | Concept exploration, cinematic scenes, ad ideation | World → action → camera → look |
| Image to video | A strong first frame, plus an end frame where supported | Product shots, character shots, art direction | Preserve composition; define motion amplitude |
| Video edit | Existing footage | Weather, wardrobe, material, background, or mood changes | Change one dimension; lock everything else |
| Reference to video | Identity, style, audio, or motion references | Recurring characters and campaign consistency | Assign one explicit role to each reference |

## Recommended cost-effective Wan 3.0 API: Flaq.ai

For developers who want a simple hosted workflow, Flaq.ai exposes four available Wan 3.0 routes through a common asynchronous video-task API: Text to Video, Image to Video, Video Edit, and Reference to Video.

All four pages expose **2–30 second duration**, 480p/720p/1080p output, five aspect ratios, optional sound, and seed-based iteration. Image to Video requires start and end frames; Video Edit accepts an existing clip up to 15 seconds. Reference to Video accepts up to 10 images, 5 video references, and 5 audio references; each video or audio reference can be 1–15 seconds. Its page also supports documents or public webpages as creative context.

| API | Current status | Recommended for |
|---|---|---|
| [Wan 3.0 Text to Video](https://flaq.ai/models/alibaba/wan-3-0-text-to-video/) | Available | Storyboards, ads, cinematic concepts, social clips |
| [Wan 3.0 Image to Video](https://flaq.ai/models/alibaba/wan-3-0-image-to-video/) | Available | Animating a first frame or directing a first-to-last-frame transition |
| [Wan 3.0 Video Edit](https://flaq.ai/models/alibaba/wan-3-0-video-edit/) | Available | Natural-language changes to existing footage |
| [Wan 3.0 Reference to Video](https://flaq.ai/models/alibaba/wan-3-0-reference-to-video/) | Available | Directing identity, style, motion, sound, and intent with images, clips, audio, documents, or webpages |

All four public pages currently show **10% OFF**: **$0.045/second at 480p**, **$0.09/second at 720p**, and **$0.18/second at 1080p**, reduced from $0.05, $0.10, and $0.20 per second. That makes a practical cost ladder possible: prototype at 480p, validate motion and timing at 720p, then render only approved shots at 1080p.

> [!TIP]
> **10% OFF:** The four Flaq.ai Wan 3.0 model pages currently display the discounted price, original price, and **10% off** label directly. No coupon code is listed. Pricing and promotions can change, so recheck the selected model page before launching a large batch.

See the [Flaq.ai Wan 3.0 API and cost guide](guides/flaq-wan-3-api.md) for model selection, example budgets, integration notes, and a production checklist. Prices, availability, limits, and promotions can change; always verify the linked model page before production use.

## Prompt categories

Need one place to scan every title? Open the [120-scene master index](prompts/README.md).

| Category | Prompts | Includes | Open |
|---|---:|---|---|
| Cinematic storytelling | 6 | drama, suspense, period scenes, one-take shots | [Browse](prompts/cinematic-storytelling.md) |
| Ads and products | 6 | beauty, food, technology, home, automotive | [Browse](prompts/ads-and-products.md) |
| UGC, food and travel | 6 | vlogs, street food, stays, workshops, ASMR | [Browse](prompts/ugc-food-travel.md) |
| Action and sports | 6 | pursuit, snowboarding, volleyball, parkour, VFX | [Browse](prompts/action-sports.md) |
| Animation and fantasy | 6 | 2D, 3D, stop motion, East Asian fantasy, sci-fi | [Browse](prompts/anime-fantasy.md) |
| Music, comedy and social | 6 | live music, dance, rap, pets, office comedy, loops | [Browse](prompts/music-comedy-social.md) |
| Professional business and public service | 11 | SaaS, creator courses, podcasts, accessibility, telehealth, logistics | [Browse](prompts/professional-business.md) |
| Education and science | 11 | climate, microscopy, safety, astronomy, marine science, museums | [Browse](prompts/education-science.md) |
| Architecture, hospitality and mobility | 11 | real estate, public space, accessible routes, e-bikes, transit, hotels | [Browse](prompts/architecture-mobility.md) |
| Production control and editing | 11 | green screen, previs, product rotation, local edits, reference roles, loops | [Browse](prompts/production-control.md) |
| Commerce, beauty, and retail | 10 | fit demos, shoppable video, skincare, packaging, accessible retail, catalog batches | [Browse](prompts/commerce-beauty-retail.md) |
| People, dialogue, and localization | 10 | speaker turns, dubbing, sign language, podcasts, oral history, micro-drama | [Browse](prompts/people-dialogue-localization.md) |
| Nature, animals, and seasons | 10 | wildlife, animal care, weather, macro nature, seasonal change, observatories | [Browse](prompts/nature-animals-seasons.md) |
| Industrial and manufacturing | 10 | training, cobots, inspection, cold chain, digital twins, multi-SKU production | [Browse](prompts/industrial-manufacturing.md) |

All 120 scenarios, characters, fictional products, and dialogue were created for this repository. No third-party preview image, watermark, promotional copy, or developer attribution is embedded in the collection.

## Four new practical production packs

### Commerce, beauty, and retail

[![Original commerce, beauty, and retail prompt cover](assets/covers/commerce-beauty-retail.webp)](prompts/commerce-beauty-retail.md)

Shoppable demonstrations, fit and texture comparisons, accessible product use, packaging continuity, consultations, and repeatable catalog campaigns. [Open 10 prompts →](prompts/commerce-beauty-retail.md)

### People, dialogue, and localization

[![Original people, dialogue, and localization prompt cover](assets/covers/people-dialogue-localization.webp)](prompts/people-dialogue-localization.md)

Clean speaking turns, multilingual dialogue, localized dubbing, sign-language framing, podcasts, documentary voiceover, and oral history. [Open 10 prompts →](prompts/people-dialogue-localization.md)

### Nature, animals, and seasons

[![Original nature, animals, and seasons prompt cover](assets/covers/nature-animals-seasons.webp)](prompts/nature-animals-seasons.md)

Patient wildlife observation, animal-care routines, macro physics, weather transitions, seasonal change, and non-invasive documentary direction. [Open 10 prompts →](prompts/nature-animals-seasons.md)

### Industrial and manufacturing

[![Original industrial and manufacturing prompt cover](assets/covers/industrial-manufacturing.webp)](prompts/industrial-manufacturing.md)

Safety rehearsals, cobot handoffs, facility explainers, inspection, cold-chain continuity, digital-twin overlays, and multi-SKU generation. [Open 10 prompts →](prompts/industrial-manufacturing.md)

## Multilingual prompting

Use one main language for the visual description and isolate exact dialogue:

```text
Visual description: English cinematic production language.
Spoken dialogue: Mandarin Chinese, relaxed natural delivery.
Exact line: “今天的风，终于往海边吹了。”
No subtitles. The listener keeps their mouth closed and reacts with one small nod.
```

Avoid duplicating the entire prompt in multiple languages. Keep camera and material terminology in the main language; preserve only exact spoken or on-screen text in its target language.

The [15-language directory](locales/README.md) provides a localized prompt formula and the same complete comparison scene in every supported language: English, Simplified Chinese, Traditional Chinese, Japanese, Korean, Spanish, French, German, Brazilian Portuguese, Italian, Arabic, Russian, Indonesian, Thai, and Vietnamese.

## Ten practical rules

1. Build each short around one primary event.
2. Reuse three to five identity anchors without paraphrasing them.
3. Write motion as “first, then, finally.”
4. Assign one main camera movement per shot.
5. For I2V, describe motion more than static appearance.
6. Show speed through water, dust, clothing, parallax, and sound.
7. Lock product geometry, material, label, cap, and button positions.
8. Keep dialogue short enough for natural pauses.
9. Use three to six scene-specific negative constraints.
10. Add one complex variable per iteration.

## Contributing and license

Original prompts, tested comparisons, and natural localizations are welcome. Use the [prompt submission form](https://github.com/flaqai/awesome_wan-3-0-prompts/issues/new?template=prompt.yml) for one tested recipe, or open a pull request for a larger category or translation. Do not submit copied prompt libraries, watermarked media, unauthorized celebrity likenesses, protected characters, or imitation of a living artist’s style. See [CONTRIBUTING.md](CONTRIBUTING.md).

Repository code and original text are provided under the [MIT License](LICENSE). Generated cover images are original project previews. This independent community resource is not an official model-provider publication.

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