{"enrichment":{"faq":[{"a":"Seedance 2.5 helps you compose production-ready prompts and shot briefs for cinematic AI video generation. Start by selecting your mode: text-to-video for concept-driven shots, image-to-video for reference-based sequences, or video-to-video for iterative refinement. Build your shot brief with clear camera directions, character descriptions, and lighting notes. Assemble reference assets\u2014mood boards, storyboards, or keyframes\u2014to guide consistency. Then draft your prompt with specific visual language, avoiding vague terms. Test with shorter clips first, then iterate based on adherence and quality feedback before scaling to full sequences.","q":"How do I create cinematic videos with Seedance 2.5?"},{"a":"Seedance 2.5 offers improved speed and quality over 2.0, with better character consistency and prompt adherence. The choice depends on your project needs: use Seedance 2.5 for production work requiring high fidelity and multi-shot coherence, especially for cinematic sequences with consistent characters. For quick drafts or lower-stakes content, earlier variants may suffice. Seedance 2.5's enhanced multimodal reference handling makes it ideal when you're working with image-to-video or video-to-video modes where visual continuity across shots is critical.","q":"What's the difference between Seedance 2.5 vs 2.0 model variants?"},{"a":"Seedance 2.5 supports detailed camera control through structured shot planning. Begin with a storyboard or 3D blockout to map camera movement, framing, and transitions. For each shot, specify camera type (dolly, pan, crane), speed, and focal length in your prompt. Use reference sets\u2014consistent character models, location assets, and lighting setups\u2014across shots to maintain visual continuity. Build your shot briefs hierarchically: establish master shots first, then close-ups and coverage. Test transitions between clips and refine timing and motion vectors iteratively before final render.","q":"How do I plan multi-shot cinematic sequences with camera control?"},{"a":"Seedance 2.5 text-to-video prompts work best when structured clearly. Start with a one-line concept, then layer in specifics: subject, action, environment, camera movement, lighting, and mood. Avoid vague language; use concrete visual descriptors and production terminology. Include aspect ratio and duration upfront. Reference your assembled assets\u2014mood boards or keyframes\u2014to anchor the AI's interpretation. Draft prompts iteratively: generate a test clip, evaluate adherence to your intent, then refine language and parameters. Focus on what matters most for your project, whether that's character consistency, camera work, or environmental detail.","q":"Seedance text to video prompt planning\u2014what's the best approach?"},{"a":"Seedance 2.5 lets you customize settings per project. Select your mode (text-to-video, image-to-video, or video-to-video) and set aspect ratio, duration, and quality tier. Assemble your reference set: upload character sheets, location photos, mood boards, or keyframes to guide consistency. Configure multimodal references by tagging which assets apply to which shots. Adjust model parameters like motion intensity and prompt adherence weight based on your creative goals. Save these configurations as project templates for consistency across multiple shots, then iterate on individual prompts while keeping the reference framework stable.","q":"How do I configure model settings and reference sets for video projects?"},{"a":"Seedance 2.5 iteration follows a test-evaluate-refine cycle. Generate a short test clip from your initial prompt, then assess it against three criteria: prompt adherence (does it match your brief?), visual quality (lighting, composition, detail), and consistency (character and environment stability). Document what worked and what didn't. Refine your prompt language, adjust reference assets if needed, and regenerate. For multi-shot sequences, iterate one shot at a time before linking them. Use video-to-video mode to polish existing outputs. Track prompt versions and results to build a library of effective phrasings for future projects.","q":"What's the workflow for iterating and refining Seedance video prompts?"}],"shadow_tags":["prompt-engineering","video-storyboarding","multimodal-ai","cinematic-production","character-consistency","shot-planning","reference-management","model-selection","iteration-workflow"],"summary_rewrite":"This skill helps you compose production-ready prompts and shot briefs for Seedance 2.5, the cinematic AI video generator. It guides you through mode selection, reference asset assembly, and iterative prompt refinement to maximize character consistency and prompt adherence across text-to-video, image-to-video, and video-to-video workflows."},"files":[{"bytes":5826,"path":"skills/seedance-2-5/SKILL.md","sha256":"57f897106b1891588181792fc2dcf3eb6623b176e05cf81c08334b1f0528e18a","url":"https://skillfed.io/files/evanmopsps/seedance-2-5-skill/seedance-2-5/7a7ca9a6/SKILL.md"}],"id":"evanmopsps/seedance-2-5-skill/seedance-2-5","links":{"html":"https://skillfed.io/evanmopsps/seedance-2-5-skill/seedance-2-5","md":"https://skillfed.io/evanmopsps/seedance-2-5-skill/seedance-2-5.md","repo":"https://github.com/evanmopsps/seedance-2-5-skill"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":0,"language":null,"last_updated":"2026-06-29","license":"MIT","name":"seedance-2-5","publisher":"evanmopsps","stars":0},"relations":{"similar":[{"id":"doany-ai/skills/image-to-video"},{"id":"prime-skills/runcomfy-agent-skills/image-to-video"},{"id":"runcomfy-com/skills/image-to-video"},{"id":"pexoai/pexo-skills/videoagent-video-studio"},{"id":"calesthio/OpenMontage/seedance-2-0"},{"id":"Starchild-ai-agent/official-skills/video"},{"id":"doany-ai/skills/ai-video-generation"},{"id":"prime-skills/runcomfy-agent-skills/ai-video-generation"},{"id":"runcomfy-com/skills/ai-video-generation"},{"id":"inference-sh/skills/video-prompting-guide"}]},"slug":{"owner":"evanmopsps","repo":"seedance-2-5-skill","skill":"seedance-2-5"},"version":"7a7ca9a6"}