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Genjutsu AI Video Generator for image-to-scene studies
Explore the Genjutsu AI Video Generator on flux3 image through image-led video concepts. Start with a source clip and a clear visual reference, browse this site’s published examples, and build a focused transformation brief. A fixed video model powers the workflow, with source-video guidance and the supported inputs shown in the generator.
Two Ways to Transform Video
Choose a transformation for Image-to-scene studies on flux3 image
Build a new visual world around an existing performance, or focus your transformation on a specific subject. Start with the option that matches your idea. Prepare the image as a visual brief rather than a finished promise. Note which aspects matter most and compare how those choices read once the subject is moving.
Motion Transfer
Keep the performance. Reimagine the scene.
Use your source clip to guide movement, timing and camera direction. Add references for a new character or setting, then describe how you want the whole scene to look. Choose this for a dance, an action sequence or a performance in a different world. For this page’s creative direction: Explore how a still-image character reference meets a moving source scene, reviewing reference composition, light direction and subject edges before choosing the next creative direction.
Object Swap
Pick a target. Give it a new look.
Focus on a person, outfit, product or object in your source clip. Provide a reference for its replacement and name the target in your prompt. Choose this when you want to change a specific subject while keeping the surrounding scene as your starting point. For Image-to-scene studies on flux3 image, name the exact subject before describing a replacement, then review the whole clip against your brief.
Genjutsu video examples
Compare the source materials and result. Use loads the complete recipe into the generator; Generate submits your new request.
Recast the fighters and restage the scene
Motion Transfer
Source videoReference result
Reference 1Reference 2
View prompt
Recast both fighters and restage the fight in the pastel valley — every move and camera stays
Convertible Head Bob
Motion Transfer
Source videoReference result
Reference 1Reference 2Reference 3
View prompt
Replace the two men in the video with the two people from the reference images. Person 1 replaces the man on the left and Person 2 replaces the man on the right. Keep the original camera movement, timing, lighting, and body performance of both men, including their interactions and positions in the frame. Preserve Person 1's bald head, beard, black glasses, white t-shirt, light blue jeans, white sneakers with burgundy detail, and gold chain. Preserve Person 2's face, hair, and outfit exactly as shown in the reference images. Keep both identities distinct and consistent throughout the video, and do not mix or swap their features.
Transfer the single female performer's exact motion in @Video1 to our original adult AI influencer shown in @Image1 and @Image2. These images depict ONE identical woman: @Image1 is the face identity anchor and @Image2 establishes her appearance and body proportions, not the background or wardrobe. Apply her recognizable facial geometry, natural green eyes, full lips, freckles and long chestnut brown hair consistently throughout the video. Preserve the source video's indoor setting, original outfit (black graphic T-shirt and light-colored bottoms), composition, camera, timing, gestures and dance motion. Match the source illumination and natural motion blur. Keep the original video audio if supported. Output the exact 8-second source segment; no introduction, no additional people or cuts, no studio background. Photorealistic natural skin detail with temporally consistent identity.
Selfie Walk
Motion Transfer
Source videoReference result
Reference 1
View prompt
Replace the video's main character
Diner Recast
Motion Transfer
Source videoReference result
Reference 1
View prompt
@Image1 — WOMAN, the replacement WOMAN: fair skin, brown eyes, bold brows, beauty marks on her cheek and jaw, glossy warm-nude lips, a turquoise-blue blunt bob with straight bangs and subtle aqua-to-lavender variation, small silver earring, and rings; natural young-adult build and stature matched to the original framing. Wardrobe: plain clean regular-fit white cotton T-shirt, plain gray straight relaxed-cut sweatpants, and gray-white sneakers; no sunglasses, prints, logos, or accessories beyond the earring and rings.
Video edit. Keep this @Video1 clip exactly as it is — the same shots and cuts (cuts at 0.7s, 2.1s), the same camera moves, framing and composition, the same wood-paneled vintage diner with yellow booths, burger posters, pendant lights, kitchen doors, chihuahua in its sweater, knight patron, masked patron, smartphone, and night drag-race footage, the same warm lighting, pacing and timing of every shot. Change only the dancing man in the black leather vest into WOMAN, keeping original blocking, poses, target motion, positions, screen placement and timing while rendering the replacement person's complete image-defined appearance and stature.
1. REPLACE the original dancing man in the black leather vest (0.7-2.1s over-the-shoulder phone shot; 2.1-9.8s tracking shot through the diner and kitchen doors) with WOMAN from @Image1. Put WOMAN into every one of those shots, matched beat-for-beat to the original holding the smartphone, pocketing it, dancing, lip-syncing, gesturing, moving backward, and pushing through the doors. Render WOMAN's fair skin, brown eyes, bold brows, cheek and jaw beauty marks, glossy warm-nude lips, and consistent turquoise-blue blunt bob with straight bangs and subtle aqua-to-lavender variation; her eyes remain visible with a deadpan confident expression. Keep her neutral white T-shirt, plain gray sweatpants, gray-white sneakers, earring, and rings consistent across all shots; carry the smartphone naturally in her ringed hands.
Identity lock: WOMAN maps only to the dancing man in the black leather vest during 0.7-9.8s. Within 0.7-9.8s, replace the original source person identified as the dancing man in the black leather vest in @Video1 completely with WOMAN in every appearance; the original identity must not appear within those windows. Retain the original performance, pose, blocking, interactions, and timing. Outside those windows, preserve that source person's original appearance, subject only to other explicitly requested edits. Lock WOMAN's complete image-defined identity, turquoise-blue bob, visible eyes, neutral wardrobe, and rings across frames and cuts only within 0.7-9.8s; no face or hair-color morphing. WOMAN is never duplicated onto another figure. Protect the smartphone contact and adapt the inherited choreography naturally to WOMAN's stature.
Everything else — the night drag-race footage, diner, background patrons, chihuahua, knight, masked patron, smartphone content, warm lighting, color grade, the camera moves and all timing — stays exactly the same.
Showroom Pickup
Motion Transfer
Source videoReference result
Reference 1
View prompt
Use my uploaded photo as the exact identity reference.
Replace the person who is signing the car papers with me.
I must become that person throughout the entire video. Wherever the original person appears — signing the documents, standing up, walking toward the car, approaching the car, and getting near the car — I must appear instead.
IMPORTANT:
Keep my exact face, my natural facial features, my exact hairstyle and my own natural hair from the reference photo.
Keep my own body and natural body proportions. Do not copy the original person’s body shape. My body should look like my real body from the reference photo.
My face must look completely natural and realistic, as if I was actually there during the real filming.
Preserve my identity consistently throughout every shot and every camera angle. Do not change my facial structure, eyes, nose, lips, jawline, skin tone or hairstyle.
Keep the original video’s:
camera movement
camera angles
framing
timing
actions
gestures
walking
signing the car documents
movement toward the car
interaction with the car
environment
lighting
shadows
background
scene transitions
Do not change the story or create new actions. Only replace the original person with me.
When the original person signs the car papers, I should naturally sign them instead.
When the original person walks toward the car, I should naturally walk toward the car instead.
When the original person reaches the car, I should be the person standing next to and interacting with the car.
Make the face-to-body connection completely natural. No face-swap artifacts, no distorted facial features, no plastic skin, no artificial appearance, no identity drift.
The final result must look like a real-world professional camera recording of me actually buying the car and being present at the dealership.
Photorealistic, natural skin texture, realistic facial expressions, realistic hair, realistic body movement, natural lighting and shadows.
Desert Duo
Object Swap
Source videoReference result
Reference 1Reference 2
View prompt
Replace the main characters with the characters from my references.
Genjutsu AI Video Generator for image-to-scene studies
This workspace is organized for image creators extending visual ideas into video. A useful starting point is a concrete scene: a still-image character reference meets a moving source scene. The aim is to explore a visual direction with a source video and supporting imagery, while keeping the important creative decisions easy to inspect. Begin with the subject and the intended change. A focused brief helps you decide whether the output serves your idea, rather than simply producing a surprising frame that does not hold together as a video.
For image-led video concepts, judge the sequence through reference composition, light direction and subject edges. These are review priorities, not promises that every feature will remain untouched. Generated video can introduce changes in identity, geometry, lighting or motion. Keep the original clip nearby and compare the beginning, middle and ending. If a variation misses your intention, identify the specific mismatch before revising the reference or prompt. Clear notes make the next attempt more useful than adding several unrelated requests.
Use examples to prepare image-led video concepts
The examples beside the generator help image creators extending visual ideas into video understand a complete creative recipe. Look at the source video, reference imagery, descriptive caption and result where those materials are available. The caption explains the idea; the prompt supplies instructions for the model. They serve different purposes. Watch the entire result before choosing a recipe, paying particular attention to reference composition, light direction and subject edges. A cover image is useful for browsing, but it cannot show changes between frames or reveal whether the ending remains coherent.
An example with a complete reusable recipe includes a Use action. Clicking Use replaces the current source material, reference images, prompt, mode and supported parameters in the generator. It does not start generation or spend credits. You can inspect the loaded recipe, change the brief to fit image-led video concepts, and review the current quote before clicking Generate. A display-only example may lack reusable inputs; viewing its result does not imply that its original materials are available to copy.
Build a brief for image-to-scene studies
Prepare the image as a visual brief rather than a finished promise. Note which aspects matter most and compare how those choices read once the subject is moving. Name the subject, describe the desired visual change and explain any important relationship between the subject and the setting. For a concept in which a still-image character reference meets a moving source scene, keep the prompt readable and specific. Use observable details such as surface texture, clothing, position or light direction. Avoid asking for several contradictory styles at the same time, because that makes it harder to understand which instruction influenced the final sequence.
Reference images should support the same intention as the text. Check that the subject is readable, the image is not obscured by unrelated elements, and you have permission to use the material. When multiple images are supported, their roles and order matter. A portrait reference and a product reference are not interchangeable. Keep the reference set focused on image-led video concepts, and remove images that introduce a different subject, conflicting wardrobe or a lighting setup that fights the scene you described.
Prepare and review your image-led video concepts
Choose an authorized source clip with clear movement and a readable subject. Inspect the available input requirements in the generator before uploading. File size, duration, format and the number of references depend on the actual mode and service configuration. The fixed video model keeps this workspace focused; it does not offer a model picker. If generation is unavailable, do not assume that uploading a different image will enable it. Keep your creative brief so you can continue when the required service is available.
After loading an example or your own materials, check every input before submission. Confirm the selected operation matches the change you want, remove unintended references and read the complete prompt. Review the displayed settings and quote when available. Generate is the deliberate submission action, separate from Use. For image creators extending visual ideas into video, this separation provides a useful review point: you can prepare image-led video concepts while browsing examples without accidentally submitting a task each time you explore a different recipe.
Review reference composition, light direction and subject edges
Assess the full output at the size and pace of its intended presentation. For a direction where a still-image character reference meets a moving source scene, pause at moments when the subject turns, crosses the frame or overlaps another object. Inspect reference composition, light direction and subject edges in these more demanding frames. Check the opening and closing as well as the most attractive moment. Small inconsistencies can become distracting once the sequence is placed beside another shot, cropped for a different frame or replayed several times.
Keep creative evaluation separate from factual accuracy. A convincing visual treatment can still alter a face, a product label or the shape of an object. Review details manually and obtain any necessary permission before publishing. Save the brief and the chosen references with your project notes, so the intended direction remains understandable later. Compare variations by changing one important input at a time. This makes image-led video concepts easier to refine and gives each additional attempt a clear purpose.
flux3 image Genjutsu AI Video Generator FAQ
Can I choose a different model here?
No. This Genjutsu workspace uses a built-in video model for image-led video concepts. It has no model selector. The controls reflect the supported operation and current service availability. Use the wider AI video tools if you need to explore a different model or workflow.
What happens when I click Use?
A complete example replaces the generator’s source video, references, prompt, mode and parameters immediately. No confirmation dialog appears. It does not generate a video or deduct credits. Review the loaded recipe for your image-to-scene studies brief, then submit separately with Generate.
What should I inspect in a image-led video concepts result?
Watch the full clip and compare reference composition, light direction and subject edges. Pay attention to transitions and occluded details. A strong thumbnail does not establish continuity, accuracy or suitability for publication. Compare the result against your original brief and source material.
Does every example include reusable source material?
No. Some examples are useful for viewing an outcome but do not contain all the original inputs. Only complete, authorized recipes can provide the full Use workflow. Choose your own source material when developing image-led video concepts from a display-only example.
Does this page guarantee identical motion or identity?
No. The result depends on the inputs, operation and actual model behavior. Inspect the whole sequence, especially reference composition, light direction and subject edges. References provide direction rather than a guarantee of exact preservation. Revise the specific element that misses your intention.
How do I check generation costs?
Review the current quote and available controls before clicking Generate. Use does not spend credits. Account history and Pricing provide related information, but a reusable example’s saved parameters do not establish the current cost of your new request on flux3 image.