Wan 3.0 Reference to Video AI Generator

A reference-to-video AI generator creates a new clip from a prompt plus source assets such as images, video clips, or audio. Wan 3.0 can accept up to 10 images, 5 videos, and 5 audio clips, with each reference assigned to identity, style, motion, camera language, rhythm, or sound.

Image to video usually begins with one image or a frame pair that anchors the shot. Reference to video can assign separate roles to multiple supported assets, including images, motion clips, and audio cues.

Yes. Wan 3.0 can combine up to 10 images, 5 video clips, and 5 audio clips in its multimodal reference mode. Give every upload a distinct role and mention it with the matching @ token. A focused set with clear assignments is easier to direct than filling every available slot.

Upload the assets, type @ in the prompt, and select the matching reference token. Then state the role of that asset, such as subject from @image1, camera movement from @video1, or rhythm from @audio1. Place the instruction close to the matching token and avoid assigning conflicting references to the same decision unless you explain their priority.

Choose first and last frames when the shot needs fixed visual endpoints. Choose multimodal references when separate images, motion clips, or audio cues should influence the scene.

Wan 3.0 is selected by default because it supports image, video, and audio references together. You can switch to another model when its input types, duration, resolution, sound controls, or cost fit the project better.

Start with the new scene you want Wan 3.0 to create, then assign one clear job to every uploaded asset. Identify which image controls the subject or visual style, which video demonstrates motion or camera language, and which audio supplies dialogue, rhythm, ambience, or an effect. Put the visible action in chronological order and finish with the intended ending state. Remove any reference whose role cannot be explained in one sentence.

Wan 3.0 accepts up to 10 reference images, but every slot should earn its place. Use the smallest set that covers identity, product details, wardrobe, environment, composition, or visual treatment, and name each role beside its @ token. If one image controls subject identity and another controls lighting or palette, say so explicitly. Remove near-duplicates and resolve conflicting colors, shapes, or character details before submitting.

Attach the clip with its @ token and name only the motion property to borrow, such as camera speed, a subject gesture, blocking, transition timing, or action rhythm. Define the new subject and environment with separate image references or prompt text. Wan 3.0 accepts up to 5 reference videos, so avoid assigning several clips to the same motion decision unless you also state which one has priority.

Wan 3.0 accepts up to 5 audio references. Use an @ token for each clip, state whether it controls dialogue cadence, musical rhythm, ambience, or a sound effect, and connect important beats to visible actions in the prompt timeline. Keep the planned action inside the selected 2–30 second duration. Review the result with sound on to check synchronization, then with sound off to confirm the visual story still reads clearly.

Turn the prompt into a checklist: subject identity from the assigned image, motion from the assigned video, and rhythm or sound from the assigned audio. Then inspect continuity, camera movement, background stability, product or facial details, ending state, and audio timing. If one source did not perform its stated role, change that asset or its nearby instruction before altering unrelated settings.

Record the Wan model, prompt, duration, resolution, sound setting, uploaded filenames, @ token mapping, and the role assigned to every reference. Label each new result by the single variable being tested, such as a replacement identity image or a different motion clip. Keep the strongest output in My Creations and compare versions with the same identity, motion, camera, and audio checklist.

Rank subject identity, product attributes, action, camera, style, and sound by the project goal, then give every asset one primary job. If two images disagree on color or shape, state beside their @ tokens which one controls the result. If a motion clip conflicts with the still composition, validate the subject in a simpler shot first. Removing a reference with no clear role is usually more effective than adding more restrictions.

Start with the new scene you want Wan 3.0 to create, then assign one clear job to every uploaded asset. Identify which image controls the subject or visual style, which video demonstrates motion or camera language, and which audio supplies dialogue, rhythm, ambience, or an effect. Put the visible action in chronological order and finish with the intended ending state. Remove any reference whose role cannot be explained in one sentence.

Wan 3.0 accepts up to 10 reference images, but every slot should earn its place. Use the smallest set that covers identity, product details, wardrobe, environment, composition, or visual treatment, and name each role beside its @ token. If one image controls subject identity and another controls lighting or palette, say so explicitly. Remove near-duplicates and resolve conflicting colors, shapes, or character details before submitting.

Attach the clip with its @ token and name only the motion property to borrow, such as camera speed, a subject gesture, blocking, transition timing, or action rhythm. Define the new subject and environment with separate image references or prompt text. Wan 3.0 accepts up to 5 reference videos, so avoid assigning several clips to the same motion decision unless you also state which one has priority.

Wan 3.0 accepts up to 5 audio references. Use an @ token for each clip, state whether it controls dialogue cadence, musical rhythm, ambience, or a sound effect, and connect important beats to visible actions in the prompt timeline. Keep the planned action inside the selected 2–30 second duration. Review the result with sound on to check synchronization, then with sound off to confirm the visual story still reads clearly.

Turn the prompt into a checklist: subject identity from the assigned image, motion from the assigned video, and rhythm or sound from the assigned audio. Then inspect continuity, camera movement, background stability, product or facial details, ending state, and audio timing. If one source did not perform its stated role, change that asset or its nearby instruction before altering unrelated settings.

Record the Wan model, prompt, duration, resolution, sound setting, uploaded filenames, @ token mapping, and the role assigned to every reference. Label each new result by the single variable being tested, such as a replacement identity image or a different motion clip. Keep the strongest output in My Creations and compare versions with the same identity, motion, camera, and audio checklist.

Rank subject identity, product attributes, action, camera, style, and sound by the project goal, then give every asset one primary job. If two images disagree on color or shape, state beside their @ tokens which one controls the result. If a motion clip conflicts with the still composition, validate the subject in a simpler shot first. Removing a reference with no clear role is usually more effective than adding more restrictions.

Start with the new scene you want Wan 3.0 to create, then assign one clear job to every uploaded asset. Identify which image controls the subject or visual style, which video demonstrates motion or camera language, and which audio supplies dialogue, rhythm, ambience, or an effect. Put the visible action in chronological order and finish with the intended ending state. Remove any reference whose role cannot be explained in one sentence.

Wan 3.0 accepts up to 10 reference images, but every slot should earn its place. Use the smallest set that covers identity, product details, wardrobe, environment, composition, or visual treatment, and name each role beside its @ token. If one image controls subject identity and another controls lighting or palette, say so explicitly. Remove near-duplicates and resolve conflicting colors, shapes, or character details before submitting.

Attach the clip with its @ token and name only the motion property to borrow, such as camera speed, a subject gesture, blocking, transition timing, or action rhythm. Define the new subject and environment with separate image references or prompt text. Wan 3.0 accepts up to 5 reference videos, so avoid assigning several clips to the same motion decision unless you also state which one has priority.

Wan 3.0 accepts up to 5 audio references. Use an @ token for each clip, state whether it controls dialogue cadence, musical rhythm, ambience, or a sound effect, and connect important beats to visible actions in the prompt timeline. Keep the planned action inside the selected 2–30 second duration. Review the result with sound on to check synchronization, then with sound off to confirm the visual story still reads clearly.

Turn the prompt into a checklist: subject identity from the assigned image, motion from the assigned video, and rhythm or sound from the assigned audio. Then inspect continuity, camera movement, background stability, product or facial details, ending state, and audio timing. If one source did not perform its stated role, change that asset or its nearby instruction before altering unrelated settings.

Record the Wan model, prompt, duration, resolution, sound setting, uploaded filenames, @ token mapping, and the role assigned to every reference. Label each new result by the single variable being tested, such as a replacement identity image or a different motion clip. Keep the strongest output in My Creations and compare versions with the same identity, motion, camera, and audio checklist.

Rank subject identity, product attributes, action, camera, style, and sound by the project goal, then give every asset one primary job. If two images disagree on color or shape, state beside their @ tokens which one controls the result. If a motion clip conflicts with the still composition, validate the subject in a simpler shot first. Removing a reference with no clear role is usually more effective than adding more restrictions.