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Explore WAN-3.0 for text-to-video, image-to-video, reference-guided creation, prompt-based editing, and coherent motion. This page currently uses the same generator interface as our Wan 2.7 workflow while WAN-3.0 support evolves.
WAN-3.0 is the next major topic in the Wan AI video ecosystem, with creators searching for stronger text-to-video, image-to-video, reference-driven creation, and editing workflows. This page organizes those use cases in one practical generator experience.
The official Wan platform currently highlights instruction-based video editing, video reference, motion transfer, and time extension in its public product experience. Those verified workflow themes shape this page without relying on unconfirmed parameter counts, resolution limits, or clip-duration claims.
For marketing concepts, cinematic storyboards, product demonstrations, social clips, and visual experiments, the workflow emphasizes clear prompts, useful references, deliberate camera direction, and repeatable creative iteration.
Turn detailed prompts into structured video concepts. Define the subject, setting, action, camera movement, lighting, pacing, and mood so the generator receives clear creative direction.
Animate your static images with realistic motion. Create dynamic videos from photographs, artwork, and designs with natural movement and temporal consistency.
Use images or clips as visual references for composition, motion, character direction, or cinematic language. References help communicate ideas that are difficult to express with text alone.
Describe the change you want to make, such as adjusting a scene, transferring motion, extending a moment, or refining the visual treatment while preserving the core idea.
Plan movement, camera behavior, subject consistency, and transitions together. Strong continuity instructions reduce ambiguity and help each shot follow a coherent visual rhythm.
Move from an initial prompt to references, revisions, and final variants without changing tools. The workflow supports experimentation for ads, explainers, storyboards, and social content.
Build an AI video request with a clear goal, strong source material, and specific motion or editing direction.
Choose the WAN-3.0 workflow that matches your source: text-to-video for a written idea, image-to-video for animation, or a reference and editing workflow for guided changes.
Enter your text prompt, upload an image, or provide a video. Be specific about desired aesthetics, mood, camera movement, and artistic style for best results.
Generate with WAN-3.0-focused settings, review motion and subject consistency, then revise the prompt or references before downloading the preferred result.
Write detailed text descriptions with specific visual elements, camera movements, and mood
For image-to-video, use high-quality, clear source images
Specify artistic styles, cinematography techniques, and visual references
Include details about lighting, atmosphere, and scene composition
For video-to-video, provide clear style direction or reference materials
Experiment with different prompts and settings to find optimal results
WAN-3.0 is a next-generation Wan AI video topic centered on text, image, reference, editing, and motion workflows. This page focuses on practical creation steps and avoids presenting unverified technical specifications as confirmed facts.
WAN-3.0 workflows commonly include text-to-video, image-to-video, reference-guided creation, and instruction-based editing. The available options in the generator may change as model support evolves.
Output quality depends on the available model, source material, prompt clarity, aspect ratio, motion complexity, and generation settings. Review each result for subject consistency, readable details, and smooth transitions.
The page currently reuses the same generator interface and sub-model selection as the Wan 2.7 landing page, as requested. The landing content and navigation are prepared for the newer topic while backend support evolves.
Review the terms for the model and service active when you generate. WAN-3.0 outputs may be suitable for advertising, education, entertainment, and production work only when the applicable usage rights permit it.
WAN-3.0 generation time depends on the active model, queue, duration, resolution, and workflow. Start with a focused prompt and shorter test, then refine references and settings before producing final variants.
Turn a prompt, image, or reference into a structured AI video experiment with a workflow built for iteration.
Describe the scene, guide the motion, review consistency, and refine the result. The current interface makes it easy to test creative directions while model support continues to evolve.
Explore WAN-3.0 with the Fooocus AI video generator workflow