✦

wan/3-0-video

Name: Wan 3.0 Video API
Brand: Wan

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⚡ API で実行

Wan3.0 は、マルチモーダル制作に対応する Alibaba の次世代統合動画生成モデルです。テキスト、画像、動画、音声、構造化参照を使用し、一貫性、写実性、制御性の高い動画を生成します。物語表現と編集機能も強化されています。

料金： 480p で毎秒 12 クレジットから（5 秒で 60）。出力秒数に課金します。各解像度は下の料金表をご覧ください。

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フレームキー

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プロンプト

Generate an approximately 30-second, 16:9 horizontal high-aesthetic urban MG chase short film. Image1 @Image1 is used as the reference for the city space, neon atmosphere, road structure, and overall visual texture; Image2 @Image2 is the only reference for the male character appearance; Image3 @Image3 is the only reference for the female character appearance. Strictly maintain the consistency of both characters' faces, hairstyles, body shapes, clothing structures, color palettes, and visual identity.
【Overall Style】
High-end motion graphics dynamic illustration style, combining flat MG graphic language, refined 2.5D spatial layering, and restrained 3D volume. The overall style should not be a realistic live-action film, not childish cartoon style, and not messy heavy industrial cyberpunk. The atmosphere should be stylish, cool, beautiful, tense, and eye-catching, like an action-movie-level urban chase promotional short film. The camera language should heavily use handheld tracking shots, rapid whip pans, snap zooms, low-angle ground-level shots, backward tracking shots, whip transitions, and occasional drone wide shots, creating a strong sense of pursuit pressure.
【Character Action Logic】
The female character's advantage is lightness, speed, agility, and using the environment and route changes to escape. The male character's advantage is strength, prediction, pressure, and interception ability. Both characters are martial arts experts, so the confrontation should not be chaotic grabbing, but a battle around the glowing ball involving "grabbing, blocking, redirecting force, switching hands, using momentum, turning, dodging, and counterattacking." The female character often uses turning movements, force redirection, route changes, and environmental obstacles to create distance; the male character often uses early positioning, wrist interception, body blocking, route sealing, and close-range suppression.
【Glowing Ball】
The glowing ball can be held in one hand, with a white core and soft purple-pink-blue halo. It is the only target being fought over throughout the entire film. The glowing ball should realistically illuminate the hands, facial edges, clothing, and surrounding environment. There is always only one glowing ball. Its size remains consistent. It never duplicates, disappears, or deforms. During movement, it only creates short, clean light trails.
【0.0-4.0 seconds | City traversal and female character introduction】
The camera begins with a high-speed flight through a city nightscape, passing through skyscrapers, neon signs, and road lights, then diving along the main road into the urban district, crossing traffic, and rapidly lowering to street level. As the camera suddenly stops, the female character rushes into frame from the side, tightly holding the glowing ball.
First show a series of fast close-up shots: footsteps, the hand gripping the ball, her backward glance, and her forward-running upper-body posture. She is not casually running; she is clearly escaping, quickly observing both the route ahead and behind her, showing that she knows someone is chasing her.
【4.0-8.0 seconds | Male interception, first close-range confrontation】
When the female character enters a narrow street passage, the male character cuts in from another route ahead, showing that he is not blindly chasing but predicting and intercepting.
After seeing the male character, the female character does not stop immediately. Instead, she attempts to diagonally change direction and bypass him. The male character immediately reaches out and grabs the wrist holding the glowing ball, with the clear goal of taking the ball.
The female character instantly pulls her arm back to protect the ball, while using the pulling force to rotate her body around the outside of his grabbing hand, creating the first force-redirection movement. The male character immediately switches his other hand toward the ball route and uses his shoulder to block her escape path.
The female character lowers her center of gravity, slides underneath his arm, and before escaping position, lightly blocks his chest with her forearm to create half a step of space. The male character catches up again and briefly touches the ball but fails to secure it.
The camera stays close to both characters, using handheld close-ups, rapid zooms, and small circular movements, always focusing around the glowing ball and hand movements. Finally, the female character performs a fast turn to escape the male character and continues running forward.
【8.0-13.0 seconds | Entering the crowd, female character uses the environment】
The female character rushes into a crowded area. She does not run randomly, but intentionally chooses a complex environment because she is more agile than the male character.
She first moves sideways between two pedestrians, then uses roadside stalls and railings to quickly change direction, making it difficult for the male character to approach directly.
The male character continues chasing through the crowd without slowing down, occasionally pushing through shoulders to create pressure. The camera mainly uses wide-angle handheld close-follow shots. The frame can be briefly blocked by pedestrians, creating a realistic chaotic feeling.
At one point, the male character grabs the back of the female character's coat. The female character does not pull backward forcefully. Instead, she uses the pulling force to rotate sideways, redirects the force, then uses her elbow to push away his forearm before slipping past his side.
The two have their second close confrontation inside the crowd: the male character grabs the female character's forearm with one hand and reaches for the glowing ball with the other. The female character raises the ball-holding hand to avoid the grab, locks his wrist with her other hand, rotates her body in the opposite direction, and uses momentum to pull him slightly off balance.
The female character slips away from his side and escapes again.
【13.0-16.5 seconds | Entering traffic, switching to bicycles】
After escaping the crowd, the female character reaches the edge of the main road. She realizes continuing on foot will allow the male character to catch up, so she immediately changes transportation.
She grabs the handlebar of a bicycle parked nearby and uses her forward momentum to jump onto it, immediately beginning to ride without stopping.
The male character exits moments later, quickly grabs another bicycle and continues the pursuit.
Use a brief wide shot to establish the space: city skyscrapers, main roads, traffic flow, and both characters' routes. Then immediately return to a low-angle perspective and enter a high-speed bicycle chase.
【16.5-24.0 seconds | Bicycle chase through traffic and third confrontation】
The female character's cycling route is more flexible. She rides close to cars, changes lanes, leans the bicycle, and cuts diagonally through traffic gaps to create distance.
The male character's route is more direct and aggressive, constantly reducing the straight-line distance.
The camera alternates between ground-level tracking shots, backward tracking shots, high-speed side movements, and brief aerial perspectives.
The traffic should react realistically to the chase: when the characters pass near car fronts, vehicles brake suddenly, lights turn on, horns sound, and drivers slightly avoid them, creating a sense of danger.
During the bicycle chase, the male character first reaches side-by-side and reaches for the glowing ball. The female character does not immediately pull away. Instead, she intentionally keeps the ball slightly outward for half a beat, causing the male character to extend his body further.
When his balance shifts, the female character suddenly leans the bicycle and changes direction, causing him to miss.
During the second approach, the male character becomes smarter. He uses a slowing vehicle to block the female character's escape route, then approaches from the side rear and almost grabs her wrist holding the ball.
This time the female character does not resist directly. She quickly switches the ball to the other hand, uses the bicycle handlebar for a half-turn movement, and slides away from the male character's reach.
The two bicycles nearly collide. The camera should create strong speed and danger.
【24.0-27.5 seconds | Final pressure and female escape】
The traffic becomes more complicated at the intersection ahead.
The male character uses his straight-line speed advantage again and nearly reaches the female character's shoulder from behind.
The female character notices a large bus crossing horizontally and a line of suddenly stopping vehicles, instantly recognizing an escape opportunity.
She intentionally maintains her original route to keep the male character locked onto her position. When he gets close, she suddenly leans the bicycle and cuts through the narrow gap between the front of a braking car and the bus.
The male character reacts slightly slower and is forced to slow down and detour because of the angle between the car and bus.
The camera quickly pans and becomes completely blocked by the side of the bus, creating a natural transition.
【27.5-30.0 seconds | Ending】
After the bus passes, the male character rushes out but discovers that the female character has already created distance.
In the distant neon street corner, only a rapidly moving glowing ball remains visible.
The camera quickly pushes toward the distance. The female character briefly looks back in the deeper neon street, showing a slightly proud and relaxed expression, then continues riding away with the glowing ball.
Finally, the camera slowly rises and pulls away, revealing the busy night city, continuous traffic flow, and the disappearing light point in the distance. The female character successfully escapes.
【Camera Movement Requirements】
70% of the entire film should have handheld camera feeling. Do not make it overly stabilized.
Close-range confrontation scenes should mainly use handheld shots, rapid push-ins and pull-outs, and small circular movements.
Crowd chase scenes should strengthen obstruction, blocking, and breathing rhythm.
Traffic chase scenes should emphasize low-angle shots, opposing movement, rapid zooms, and sudden braking atmosphere.
Wide shots are only used to establish space and provide pacing breaks.
The camera should always serve the ownership of the glowing ball, the distance between the two characters, and the direction of pursuit. Do not add meaningless flashy rotations.

希望する動画を説明するテキストプロンプト。中国語と英語に対応し、最大 20000 文字です。

参照画像

画像を追加

このバリアントは 3 枚の入力画像を使います。

最大 10 枚。配列順にプロンプト内の Image1、Image2、… に対応します。仕様は first_frame_url と同じです。最初・最後のフレームとは併用できません。

参照動画

動画を追加

最大 5 本。各 1～15 秒、合計 15 秒以内。配列順にプロンプト内の Video1、Video2、… に対応します。mp4、mov に対応。各辺 240～4096px、アスペクト比 8:1 以下、各 100MB 以内。入力動画の合計時間 + 出力時間（duration）は 30 秒以内にしてください。

参照音声

音声を追加

最大 5 本。各 1～15 秒、合計 15 秒以内。配列順にプロンプト内の Audio1、Audio2、… に対応します。wav、mp3、各 15MB 以内。単独のメディア入力として使わない場合も、画像または動画との組み合わせを推奨します。

参照ウェブページ · この項目の入れ子形式にはまだ対応していません（PlaygroundArrayForm）

公開アクセス可能なウェブページを最大 1 件（ログイン不要）。reference_file_urls、最初・最後のフレームとは併用できません。

参照ファイル · この項目の入れ子形式にはまだ対応していません（PlaygroundArrayForm）

ファイルは最大 1 件。reference_link_urls、最初・最後のフレームとは併用できません。対応形式：docx、doc、xlsx、xls、pptx、ppt、pdf、txt、key、pages、numbers、md。最大 100MB。pdf、docx、ppt、key、pages などは 50 ページ以内です。

解像度

動画生成の解像度プリセット。

アスペクト比

生成動画のアスペクト比。"Adaptive" は入力メディアの比率と意図に基づいて自動で推奨します。

長さ5

生成動画の長さ（秒）。動画入力なしは 2～30 の整数。動画入力ありは入力 + 出力の合計 30 秒以内。-1 を渡すとモデルが適切な長さを推奨するスマート長さモードになります。

音声

出力動画に音声を含めるかどうか。true（既定値）は音声あり、false は音声トラックなしです。

シード0

結果を再現するための乱数シード。0 <= x <= 2147483647

成人向けコンテンツのチェック

設定可能なパラメータです。Playground での既定値は true です。

ほかのテキストから動画モデルを探す

Wan のほかの AI モデル

Wan3.0 API Redefines Multimodal Video Creation with Greater Control

Experience the next evolution of video generation with Wan3.0 API, combining longer narratives, stronger reference consistency, precise editing, and immersive audiovisual creation for more complete visual storytelling.

Start Video Creation from Richer Multimodal Inputs with Wan3.0 API

Wan3.0 is Alibaba’s latest all-in-one video generation model, designed for longer-form storytelling, richer reference understanding, stronger visual consistency, and more precise creative control. Wan3.0 API enables creative generation based on different types of input materials, including text, images, videos, audio, keyframes, documents, and webpages, helping shape scenes, motion, sound, visual identity, and narrative direction through more flexible references. For the latest supported inputs, generation modes, and API usage details, please refer to the Wan3.0-Video API documentation on ModelFold.

Turn Text Prompts into Full Video Concepts

Text can do far more than describe a simple scene. With Wan 3.0 API, written instructions can shape characters, environments, camera movement, action logic, lighting, pacing, atmosphere, and even the emotional rhythm of a video, making detailed prompts a flexible starting point for more structured creation. Stay with Wan 3.0 Video when its multimodal video workflow is enough, and move to the newer MiniMax H3 (Hailuo-03) API when native stereo sound alongside video generation is the deciding factor.

Carry Visual Identity into Motion with Image References

Image references help define the look of a video before motion begins. Character appearance, clothing, props, locations, materials, composition, and overall style can all be guided visually, allowing Wan3.0-Video API to bring recognizable details into moving scenes with stronger continuity.

Use Video References to Guide Movement and Scene Flow

Some creative intent is easier to show than to explain. Existing footage can provide motion language, performance cues, timing, camera behavior, and scene dynamics that help Wan3.0 API build or transform videos with more controlled movement and a clearer sense of flow.

Connect Sound Direction with Visual Generation

Audio can shape the feel of a scene just as much as visuals do. Speech, music, rhythm, vocals, and other sound references give Wan 3.0 Video API more context for pacing, mood, performance energy, and audiovisual coordination, helping the final result feel more unified.

Keep Scene Progression Aligned with Keyframes

Keyframes provide strong visual anchors for how a sequence should begin, evolve, or conclude. By using opening or ending visual references, Wan3.0 API can guide subject continuity, transition logic, and scene development in a way that keeps the generated video more directionally consistent.

Bring Documents and Webpages into the Creative Workflow

Creative source material does not always start as a prompt. Briefs, presentations, spreadsheets, PDFs, text documents, and webpages can also provide valuable structure and context, allowing Wan 3.0 API to turn existing information into part of the video generation workflow instead of treating it as separate preparation work.

Discover What Makes Wan3.0 API a Major Leap in Video Creation

All-in-One Multimodal Creation with Wan3.0 API

Wan3.0 expands video creation beyond conventional prompts by incorporating richer creative context into the generation process. Different types of reference materials, including images, videos, audio, documents, and webpages, can help guide scene development, visual consistency, and creative direction. For the latest supported input types, available features, and API usage details, please refer to the Wan3.0-Video API documentation on ModelFold.

Native 30-Second Storytelling with Wan 3.0 API

Longer native generation gives scenes more space to establish context, develop actions, transition between story beats, and reach a more satisfying conclusion. Wan 3.0 API supports videos up to 30 seconds while intelligently adapting duration to the requested content, opening more room for narrative structure and creative freedom.

Pixel-Perfect Reference Consistency in Wan3.0-Video API

Characters, clothing, props, environments, audio cues, and spatial relationships can remain closely aligned with their original references throughout changing actions and scenes. Wan3.0-Video API strengthens detail reproduction and continuity, making reference-driven creation more dependable when visual identity needs to remain stable.

Precision Video Editing with Wan 3.0 Video API

Existing videos can be reshaped through detailed creative instructions without unnecessarily changing everything in the original footage. Wan 3.0 Video API supports precise adjustments to subjects, backgrounds, environments, lighting, visual styles, and other elements, alongside reference-guided editing and video extension for more flexible creative refinement.

Immersive Audiovisual Generation through Wan3.0 API

Visual storytelling is paired with more expressive audio generation to make scenes feel more complete. Wan3.0 API improves natural timbre, regional speech expression, musical rhythm, environmental sound, and audiovisual synchronization, allowing motion, performance, atmosphere, and sound to develop with stronger cohesion.

Cinematic Visual and Motion Control with Wan3.0-Video API

Wan3.0 raises the level of realism and aesthetic control across lighting, color, composition, character performance, camera language, and scene dynamics. Wan3.0-Video API can handle complex action choreography, realistic physical interactions, detailed materials, and nuanced performances with greater visual precision for more cinematic results.

How to Start Creating Videos with Wan3.0-Video API on ModelFold

1
Set Up Your ModelFold Account for Wan3.0-Video API Access
Create a ModelFold account or log in to your existing account to get started with Wan3.0-Video API. After accessing your API credentials, you can configure your request environment and prepare the necessary settings for connecting video generation capabilities to your application.
2
Prepare Creative Inputs for Wan3.0-Video API Requests
Create video generation requests by combining prompts with supported creative references and instructions. Wan3.0-Video API is designed to work with different forms of creative context, helping guide visual consistency, scene development, motion design, and overall storytelling direction. Refer to the latest ModelFold documentation for detailed input options and request formats.
✓
Submit Wan3.0-Video API Tasks and Access Generated Results
Send generation requests through Wan3.0-Video API on the ModelFold video endpoint. The response returns the generated video URL once the task finishes, so you can integrate the results into your creative projects or applications without polling.

Exploring the Evolution of AI Video Generation with Wan and Seedance

From cinematic storytelling to more controllable visual creation, Wan 3.0, Seedance 2.5, and Seedance 2.0 represent different approaches to AI video generation. Compare how each model handles motion, consistency, and creative expression through the same visual concept.

Wan 3.0: Next-Level Control for Cinematic Video Creation

Wan 3.0 brings stronger visual understanding and generation control, enabling more consistent characters, environments, and complex scenes. The video showcases improved motion coherence, richer audiovisual details, and more precise creative direction for high-quality video production.

Seedance 2.5: Enhanced Creativity with More Refined Video Dynamics

Seedance 2.5 advances video generation with improved reference understanding, smoother motion patterns, and stronger scene continuity. It offers more expressive camera movement and detailed visual storytelling, bridging the gap between creative exploration and production-ready results.

Seedance 2.0: Reliable Motion and Consistent Visual Storytelling

Seedance 2.0 focuses on stable video generation with strong prompt alignment and smooth scene transitions. It maintains clear subject identity and natural movement, making it a balanced choice for creating engaging visual narratives.

Bring Longer, Richer, and More Controlled Video Ideas to Life with Wan3.0 API

Build Longer Narrative Sequences with Wan3.0 API

A short film can develop across multiple actions, locations, camera changes, and story beats without being reduced to a single isolated moment. Wan3.0 API is well suited to sequences such as an urban chase, miniature adventure, surreal comedy, or cinematic action scene where characters, props, environments, and narrative logic need to remain connected as the story progresses.

Create Reference-Driven Character Videos with Wan 3.0 API

When several characters, costumes, environments, or visual references need to remain recognizable throughout a scene, Wan 3.0 API can use those materials as persistent creative guidance. This makes it useful for fashion films, choreography sequences, character showcases, historical scenes, and other productions where appearance, styling, spatial relationships, and movement continuity all matter.

Rework Existing Footage with Wan3.0-Video API

Existing video can become the starting point for controlled creative changes rather than being regenerated from scratch. Wan3.0-Video API can support tasks such as replacing a subject, changing an environment, removing an accessory, shifting the visual style, adjusting selected scene elements, or extending an existing sequence while preserving the motion and structure that should remain unchanged.

Produce Audio-Visual Content with Wan 3.0 Video API

Videos built around dialogue, music, environmental sound, rhythmic motion, or expressive atmosphere can benefit from treating audio as part of the creative direction from the beginning. Wan 3.0 Video API can support content such as performance videos, cinematic commercials, immersive story scenes, and rhythm-driven motion pieces where sound, visual pacing, character performance, and scene dynamics need to feel closely synchronized.

Why Choose ModelFold for a More Practical Wan3.0 API Workflow

One Model for Text, Frames, References, Files and Links

wan/3-0-video runs on POST https://ai.modelfold.online/v1/videos/generations and covers text-to-video, first-frame and first-and-last-frame video, reference-to-video, and video from a document or a public web page. Output goes from 480P to 1080P and from 2 to 30 seconds with audio on by default; the full parameter list is in the Playground and the API section on this page. Pricing for each resolution is shown in the pricing line above and in the rate card of the API section.

Pick One Input Mode per Request

First and last frames cannot be combined with reference media, a document or a web page, and a last frame needs a first frame. A document and a web page cannot be used together. In reference mode, refer to the media as Image1, Video1 or Audio1 in the prompt, in the order you pass them. Frame and reference images cannot be PNGs with transparency.

Reference Videos Count Toward Duration and Billing

Billed seconds equal the output duration plus the total duration of reference videos, at the same per-second price, and with reference videos the input plus output duration must stay within 30 seconds. With automatic duration (-1), the request is charged for the 30-second maximum. New ModelFold users receive 80 free credits for testing.

Frequently Asked Questions About Wan3.0 API

What is Wan3.0?⌄

Wan3.0 is Alibaba’s all-in-one video generation model designed for longer video creation, multimodal reference understanding, stronger consistency, precision editing, immersive audiovisual generation, and cinematic control. It supports multiple creation approaches, including text-driven, image-driven, reference-based, and existing-video workflows.

Is Wan3.0 API available on ModelFold now?⌄

Yes. Wan3.0 API is now available on ModelFold. Users can access Wan3.0-Video API for video generation and integrate its capabilities into their applications through ModelFold’s API workflow. For the latest supported features and usage details, please refer to the Wan3.0-Video API documentation on ModelFold.

What types of video generation does Wan 3.0 API support?⌄

Wan 3.0 API supports text-to-video, image-to-video, first-and-last-frame video generation, and reference-based video creation. Its broader multimodal capabilities also make it suitable for workflows that combine different creative references within the same generation process.

What kinds of references can Wan3.0-Video API understand?⌄

Wan3.0-Video API supports richer creative context beyond traditional text prompts, allowing different types of references to help guide video generation. Depending on the available input options, reference materials such as images, videos, audio, keyframes, documents, and webpages can contribute to visual consistency, scene structure, motion design, and overall creative direction. For the latest supported reference types and input requirements, please refer to the Wan3.0-Video API documentation on ModelFold.

Can Wan3.0 API generate videos up to 30 seconds?⌄

Yes. Wan3.0 API supports native video generation up to 30 seconds, giving scenes more room for action development, camera progression, character interaction, and complete narrative structure without relying entirely on multiple short clips.

How does Wan 3.0 API maintain reference consistency?⌄

Wan 3.0 API is designed to preserve important details from supplied references across changing scenes and motion. Character appearance, clothing, props, environments, audio characteristics, and spatial relationships can remain more closely aligned as the generated sequence develops.

Can Wan3.0-Video API edit existing videos?⌄

Yes. Wan3.0-Video API supports instruction-based and reference-guided video editing. Existing footage can be modified by changing subjects, environments, visual styles, lighting, and other selected elements while preserving parts of the original video that should remain unchanged. Video extension is also supported for continuing existing sequences.

Does Wan 3.0 Video API support synchronized audio and video creation?⌄

Yes. Wan 3.0 Video API is designed for richer audiovisual generation, including natural sound expression, speech characteristics, music and rhythm, environmental audio, and closer synchronization between sound and visual pacing. This helps generated videos feel more complete and expressive as a unified audiovisual experience.

料金表

480p	60 クレジット 5 秒あたり
720p	120 クレジット 5 秒あたり
1080p	240 クレジット 5 秒あたり

秒単位で課金します。上記は各解像度で 5 秒の場合の料金です。長さに比例して料金が増え、Playground でも同じ計算を使います。

参照動画ありの課金秒数 = 出力秒数 + 参照動画の合計秒数。同じ秒単価を使います（参照動画は合計 15 秒まで、各動画を秒単位に切り上げ。入出力合計は 30 秒まで）。長さ -1（自動）は 30 秒として課金します。

クイックスタート

curl https://ai.modelfold.online/v1/videos/generations \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"wan/3-0-video","prompt":"...","resolution":"720p","duration":5}'

ほかの テキストから動画 モデルを探す

Wan のほかの AI モデル

新着・人気の AI モデル

Wan3.0 API Redefines Multimodal Video Creation with Greater Control

Start Video Creation from Richer Multimodal Inputs with Wan3.0 API

Turn Text Prompts into Full Video Concepts

Carry Visual Identity into Motion with Image References

Use Video References to Guide Movement and Scene Flow

Connect Sound Direction with Visual Generation

Keep Scene Progression Aligned with Keyframes

Bring Documents and Webpages into the Creative Workflow

Discover What Makes Wan3.0 API a Major Leap in Video Creation

All-in-One Multimodal Creation with Wan3.0 API

Native 30-Second Storytelling with Wan 3.0 API

Pixel-Perfect Reference Consistency in Wan3.0-Video API

Precision Video Editing with Wan 3.0 Video API

Immersive Audiovisual Generation through Wan3.0 API

Cinematic Visual and Motion Control with Wan3.0-Video API

How to Start Creating Videos with Wan3.0-Video API on ModelFold

Set Up Your ModelFold Account for Wan3.0-Video API Access

Prepare Creative Inputs for Wan3.0-Video API Requests

Submit Wan3.0-Video API Tasks and Access Generated Results

Exploring the Evolution of AI Video Generation with Wan and Seedance

Wan 3.0: Next-Level Control for Cinematic Video Creation

Seedance 2.5: Enhanced Creativity with More Refined Video Dynamics

Seedance 2.0: Reliable Motion and Consistent Visual Storytelling

Bring Longer, Richer, and More Controlled Video Ideas to Life with Wan3.0 API

Build Longer Narrative Sequences with Wan3.0 API

Create Reference-Driven Character Videos with Wan 3.0 API

Rework Existing Footage with Wan3.0-Video API

Produce Audio-Visual Content with Wan 3.0 Video API

Why Choose ModelFold for a More Practical Wan3.0 API Workflow

One Model for Text, Frames, References, Files and Links

Pick One Input Mode per Request

Reference Videos Count Toward Duration and Billing

Frequently Asked Questions About Wan3.0 API

ほかのテキストから動画モデルを探す