# Emily2040/seedance-2.0

Comprehensive production pipeline for quad-modal AI filmmaking with Seedance 2.0

Repository: https://github.com/Emily2040/seedance-2.0
Canonical: https://ross.abutalabs.com/products/seedance-20
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-06T11:00:29+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 84, longevity 13
- inputs: {"age_days": 190, "days_push": 27, "days_rel": 27, "gap_med": 90, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6928, forks 1013 (observed 2026-08-28T04:09:51.426384+00:00)

## What it is
A production pipeline and 'Skill OS' for directing Seedance 2.0 quad-modal AI video generation (text, image, video, reference-to-video) with structured director-style prompting. It encodes filmmaking judgment—camera, lighting, blocking, sound—into reusable prompt templates and reference guides across multiple provider surfaces.

## Use cases
- write cinematic prompts for seedance 2.0 video generation
- build an ai filmmaking production pipeline
- learn director-style prompting for text-to-video models
- generate video prompts with native audio direction
- rewrite prompts to be ip-safe for ai video
- manage prompts across dreamina jimeng and volcengine surfaces

## When to choose
- you create narrative or product videos with Seedance 2.0 and want consistent, intentional direction instead of adjective-stacked prompts
- you need a structured pre-prompt analysis (Director's Read) and multi-platform surface guidance
- you want multilingual documentation and a maintained, versioned prompt methodology

## When to avoid
- you need actual video rendering or model inference—this is a prompting methodology, not a generation engine
- you use video models other than Seedance 2.0 and its listed provider surfaces
- you want a GUI tool; this is documentation, templates, and Python-based pipeline assets

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, agent-framework, video-processing
- domain: artificial-intelligence, large-language-models, tutorials
- platform: python, cross-platform
- tags: ai-filmmaking, video-generation, seedance, prompt-craft, storyboarding, multilingual-docs, video

## Member repositories
- Emily2040/seedance-2.0 (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:51.426384+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:41:24.823781+00:00, confidence not recorded.
  - readme: https://github.com/Emily2040/seedance-2.0 (fetched 2026-08-28T04:09:51.426384+00:00, sha 6daf64d9e2fc)
- Data as of 2026-08-30T08:39:29.467469+00:00.