Wan Camera Controlを使って、あなたの動画を映画のような仕上がりに

へ turn your video into cinema using Wan camera control, give the camera a reason to move. A slow push toward a product can make its texture feel important. A pullback can reveal the world around it. A sideways move can turn a flat scene into a space with depth.

Start that creative process in グローバルGPT, where Wan sits alongside writing, image, video, and audio tools in one dashboard. Its affordable multi-model subscription lets you develop the shot idea, prepare a reference, generate footage, and shape the supporting copy in the same workspace. You can also explore models such as Seedance and Kling when another visual approach fits the project.

今すぐ GlobalGPT で Wan 3.0 を試してみましょう

This guide walks through the choices that create a cinematic shot, then shows four new Wan 2.6 reference-video generations from the same original clip. You can watch the outputs, read the exact prompts, and use the differences to plan your own movement.

What Wan camera control means in practice

Camera movement changes how a viewer discovers a scene. A dolly-in moves closer to the subject; a pullback reveals more of the setting; an orbit changes the viewing angle; lateral tracking moves across the scene. These choices work best when they support the story instead of competing with it.

With prompt-directed generation, you describe the desired motion in words. Wan’s reference-video route can use a subject from a supplied clip to generate a new scene. It is a creative generation process, so the result may also change framing, background, or small product details. Think of the reference as visual guidance for a new shot, rather than a promise to preserve every original frame.

The last route is a distinct model and workflow. ComfyUI’s Wan2.2 Fun Camera guide documents camera-motion choices and settings in a WanCameraEmbedding node. The examples below use Wan 2.6 reference generation with natural-language prompts, not that dedicated node workflow.

Choose the movement before writing the prompt

For a short clip, choose one main move and let the subject stay relatively simple. If the camera circles, zooms, cranes, and changes focus while the subject also performs several actions, it becomes harder to tell the model which moment matters. You can build a more elaborate sequence by editing several clear shots together.

Movement alone does not create cinema. A consistent light source, a readable subject, controlled pacing, and a useful final composition give the motion a purpose. Ask what the viewer should notice at the start and what they should understand at the end.

Prepare a reference with room for the camera

Choose a clear subject and a scene with some spatial structure. A foreground leaf, a product on a table, and a window behind it create three distances the camera can move through. Avoid starting with a heavily cropped product if the final shot needs to show its whole shape.

For our examples, we created a new five-second reference of a metal camping lantern on a wooden table. The foreground leaves and background window make changes in viewpoint easier to see. This is the same reference supplied to all four Wan 2.6 runs below.

Create one continuous five-second landscape 16:9 reference video with a completely locked camera. One unbranded brushed-silver camping lantern with a dark handle stands still near the middle of a wide oak table in a quiet window-lit studio. The complete lantern is visible in a medium-wide frame with ample empty table around it. A small out-of-focus green leaf occupies the far left foreground without covering the lantern. A large window frame and a softly lit beige wall sit several meters behind the lantern to provide clear foreground, middle-ground and background layers. Soft neutral daylight, realistic metal, consistent proportions. Nothing moves, no flicker, no camera movement, no cuts, no people, no second lantern, no subtitles, no writing, no letters, no labels, no numbers, no logos, no watermark, no interface elements.

{
  "model": "wan3.0-video",
  "duration": 5,
  "resolution": "720P",
  "aspect_ratio": "16:9"
}

For your own product, use a reference you have the right to use and make important details visible: color, silhouette, handle, cap, or packaging. If an exact label matters, plan a real pack shot or an editing layer for it. A reference is most useful when it makes the subject easy to recognize.

Write a prompt that describes the shot

Build the prompt around the subject, the camera move, the pace, and the ending frame. Then describe lighting and any behavior that should stay constant. “Cinematic” can communicate a mood, but “slowly move closer while keeping the complete lantern in frame” gives the generation a concrete visual task.

Use the supplied reference subject in [scene].
The subject remains [stationary / one simple action].
The camera [one main movement] at a [slow / moderate] pace.
Begin with [opening composition] and end with [ending composition].
Keep [important product details and state] consistent.
Lighting: [one coherent light source and mood].
One continuous shot, no cuts, no subtitles, no text, no logos.

Alibaba’s Wan prompt guide uses motion plus camera movement for image-to-video and a reference subject plus action and scene for reference-to-video. The useful habit is the same: tell the camera what to do, and keep that instruction separate from what the subject does.

Four camera-movement examples from the same reference

We generated these four clips on GlobalGPT with Wan 2.6 R2V on September 28, 2026. Each used the same new reference and a five-second, 1080p request. The videos shown are the first successful outputs, with complete prompts included. The comparisons focus on visible movement, composition, and subject continuity.

Use character1, the exact single brushed-silver camping lantern with dark handle on the oak table, from the reference video. Preserve its silhouette, material, proportions and the window-lit studio setting, with a soft leaf at the far left foreground and a window frame in the distant background. Make one continuous five-second cinematic shot. The camera slowly and smoothly dollies physically closer to the lantern, starting medium-wide and ending closer with the complete lantern still visible. Keep the lantern and table stationary, the lantern centered, and background parallax physically plausible. No orbit, no side tracking, no tilt, no digital zoom. Soft natural window light, shallow depth of field. No cuts, no duplicate objects, no subtitles, no writing, no letters, no labels, no numbers, no logos, no watermark, no interface elements.

{
  "model": "wan2.6-r2v",
  "duration": 5,
  "resolution": "1080p",
  "images": [
    "https://static.futureshareai.com/anywhere-test/task_W8zepXOh4PHul58uB2LH85lZro8bapkI.mp4"
  ]
}

Use character1, the exact single brushed-silver camping lantern with dark handle on the oak table, from the reference video. Preserve its silhouette, material, proportions and the window-lit studio setting, with a soft leaf at the far left foreground and a window frame in the distant background. Make one continuous five-second cinematic shot. The camera slowly and smoothly orbits clockwise roughly 45 degrees around the stationary lantern at a constant distance and height. Keep the entire lantern centered and approximately the same apparent size, while the table and distant background reveal a visibly different angle. No dolly-in, no dolly-out, no tilt, no digital zoom. Soft natural window light, shallow depth of field. No cuts, no duplicate objects, no subtitles, no writing, no letters, no labels, no numbers, no logos, no watermark, no interface elements.

{
  "model": "wan2.6-r2v",
  "duration": 5,
  "resolution": "1080p",
  "images": [
    "https://static.futureshareai.com/anywhere-test/task_W8zepXOh4PHul58uB2LH85lZro8bapkI.mp4"
  ]
}

Use character1, the exact single brushed-silver camping lantern with dark handle on the oak table, from the reference video. Preserve its silhouette, material, proportions and the window-lit studio setting, with a soft leaf at the far left foreground and a window frame in the distant background. Make one continuous five-second cinematic shot. Begin with the complete lantern in a medium view. The camera slowly and smoothly dollies backward in a straight line to reveal more oak tabletop, the foreground leaf and the surrounding window-lit studio. Keep the lantern and all scene objects still and the lantern centered, becoming naturally smaller in frame. No orbit, no side tracking, no tilt, no digital zoom. Soft natural window light, natural depth. No cuts, no duplicate objects, no subtitles, no writing, no letters, no labels, no numbers, no logos, no watermark, no interface elements.

{
  "model": "wan2.6-r2v",
  "duration": 5,
  "resolution": "1080p",
  "images": [
    "https://static.futureshareai.com/anywhere-test/task_W8zepXOh4PHul58uB2LH85lZro8bapkI.mp4"
  ]
}

Use character1, the exact single brushed-silver camping lantern with dark handle on the oak table, from the reference video. Preserve its silhouette, material, proportions and the window-lit studio setting, with a soft leaf at the far left foreground and a window frame in the distant background. Make one continuous five-second cinematic shot. The camera makes a slow smooth horizontal truck to the right, staying at a constant height and constant forward distance from the table. Gently pan only as needed to keep the complete lantern near the center. The nearby leaf should move across the left edge faster than the distant window, creating clear parallax without covering the lantern. Keep the lantern and scene objects still and coherent. No circular orbit, no forward or backward dolly, no tilt, no digital zoom. Soft natural window light, shallow depth of field. No cuts, no duplicate objects, no subtitles, no writing, no letters, no labels, no numbers, no logos, no watermark, no interface elements.

{
  "model": "wan2.6-r2v",
  "duration": 5,
  "resolution": "1080p",
  "images": [
    "https://static.futureshareai.com/anywhere-test/task_W8zepXOh4PHul58uB2LH85lZro8bapkI.mp4"
  ]
}

For this subject, the orbit is the clearest choice when the whole lantern needs to remain visible. The push-in suits a detail-led cut, the pullback suits a scene reveal, and the lateral move suits atmosphere. Those are creative choices from this one set of outputs, not a ranking of every possible Wan generation.

Build the shot into a complete video in GlobalGPT

オープン Wan 2.6 on GlobalGPT, add your reference, and describe the new shot. The current page presents an image-or-video upload area, a prompt field, and duration, size, and resolution controls. Choose the settings for the current generation, check the displayed credit amount, then create the shot.

The wider GlobalGPT workflow is useful before and after that generation. Develop the shot list with a language model, prepare a visual reference with an image model, generate the video, and use the available editing tools to assemble your sequence. One affordable subscription connects those stages, rather than making the camera prompt the end of the project.

GlobalGPTで100種類以上のトップモデルをお試しください

For a longer sequence, plan the order of shots first. A wide scene can establish the setting, a medium shot can introduce the subject, and a closer detail can finish the idea. Our script-to-video guide shows how to organize that handoff. If you are preparing product visuals, start with a clear product reference image.

Finish with pacing, continuity, and a clean frame

Watch the whole clip before choosing your edit points. The best section may be shorter than the full generation. Leave a small pause for the viewer to recognize the subject, let the move do its job, then cut before an unwanted crop or obstruction takes attention away.

• Check continuity: product color, silhouette, light state, and background should work with adjacent shots.
• Check the ending: the product or face should still be readable when the movement finishes.
• Keep typography separate: add sharp, editable English text only when the story needs it; no subtitles are required for a visual-only shot.
• Choose sound deliberately: listen to any generated audio before using it, or add a suitable licensed track and effects in the edit.
• Match the destination: reframe carefully for vertical placements instead of cropping away the subject.

If the motion feels weak, simplify the move, give the camera a clearer ending composition, and choose a reference with more visible depth. If the subject changes too much, reduce the number of simultaneous actions and make its important details explicit. Generate a purposeful next version rather than adding more cinematic adjectives.

Start with one subject and one movement you can explain in a sentence. Then make the cut that best serves the story. Create your next cinematic Wan shot in GlobalGPT and carry it from idea to finished sequence in one workspace.

よくある質問

Can Wan use an existing video as a reference?

Wan 2.6 reference-to-video can use a subject from a reference clip to generate a new scene. The reference guides the result; it does not guarantee that every original frame or background detail stays unchanged.

Is Wan camera control the same as Wan2.2 Fun Camera?

No. A natural-language camera prompt and the dedicated Wan2.2 Fun Camera workflow are different approaches. The examples here use Wan 2.6 reference-video generation, while Fun Camera has explicit camera-condition settings.

What camera move should I try first?

Choose a slow push-in for a detail, an orbit for a product reveal, a pullback for context, or lateral tracking for depth. Start with one main movement per short clip.

Why does the product change during the shot?

Reference generation creates new footage rather than copying the original frame by frame. Keep the subject and action simple, specify important details, and review the output for changes before using it.

Can I do the full creative workflow in GlobalGPT?

GlobalGPT brings language, image, video, audio, and editing tools into one dashboard. You can develop a brief, prepare references, generate shots, and assemble creative assets within that broader workflow.

Does a Wan prompt guarantee an exact camera angle?

No exact geometric angle is claimed for these prompt-directed examples. Describe the intended movement and judge the output by framing, visible viewpoint changes, and subject continuity.