create-video-seedance-2-fal
FeaturedGenerate a single 4-15s vertical video clip with ByteDance Seedance 2.0 reference-to-video via fal.ai. Multi-image reference (avatar + product + setting), native lip-synced VO + ambient audio (generate-audio on by default), internal multi-cut handling within one render. Routes through the GooseWorks FAL proxy (bills the Ads agent). The default clip atom for AI-creator UGC ads built on the NB2 + Seedance architecture. Validated on beauty-by-earth/video-01.
Install
Quality Score: 98/100
Skill Content
Details
- Author
- gooseworks-ai
- Repository
- gooseworks-ai/goose-skills
- Created
- 4 months ago
- Last Updated
- 4 days ago
- Language
- Python
- License
- MIT
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Deep operating guidance for Seedance 2.0 video generation. Use when selecting Seedance 2.0 for a shot, designing multimodal references, writing Seedance-native prompts, choosing duration/aspect/quality settings, planning batch generations, troubleshooting drift or artifacts, or comparing Seedance 2.0 against Kling, Veo, Sora, DoP/Cinema, or other Higgsfield video routes. Complements shot-specifier and video-generator by turning Seedance 2.0's multimodal model behaviour into practical shot-planning and generation rules.
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Writes, improves, or rewrites Seedance 2.0 prompts that TRANSFORM footage the user already has (video-to-video), rather than building a scene from scratch. Use whenever a real clip is the starting point and they want to: add a VFX element (set a head or hair on fire, transform a hand, make a limb invisible), swap the environment around a preserved subject (desert, clouds, lava, a neon city), drop a giant photoreal creature behind or onto a subject/landmark, relight or regrade so subject and added elements read as one shot, sync a crash-zoom or push-in to a spoken line or timecode, or generate a matching transformed start frame to animate from. Also use when they paste such a prompt and ask to change its lighting, timing, creature, or runtime, or say 'make a Seedance prompt for this video' with a clip attached. This is the video-to-video specialization; for a brand-new scene from image references with no source clip to preserve, higgsfield-seedance applies instead.