--- name: workflow-ai-generation description: Generate media from scratch with 2026 open-source AI — TTS voiceover (Kokoro / OpenVoice / Piper), image gen (FLUX-schnell / Kolors / Sana / ComfyUI), video gen (LTX-Video / CogVideoX / Mochi / Wan), music (Riffusion / YuE), lipsync talking heads (LivePortrait / LatentSync), OCR (PaddleOCR / Tesseract 5 / TrOCR), zero-shot tagging (CLIP / SigLIP / BLIP-2 / LLaVA). Strict commercial-safe license filter. Use when the user says "generate a video", "TTS voiceover", "AI explainer video", "clone my voice", "generate music", "AI image", "digital human", or anything about from-scratch AI media. argument-hint: [prompt] --- # Workflow — AI Generation **What:** Synthesize new media with open-source, commercial-safe AI models. Strict license filter: Apache-2 / MIT / BSD / GPL. NC / research-only models are always-dropped. ## Skills used `media-tts-ai`, `media-whisper`, `media-sd`, `media-svd`, `media-musicgen`, `media-lipsync`, `media-depth`, `media-ocr-ai`, `media-tag`, `media-demucs`, `media-denoise-ai`. ## Tool matrix ### TTS (`media-tts-ai`) | Model | License | Best for | |---|---|---| | Kokoro | Apache-2 | general default | | OpenVoice | MIT | voice cloning | | CosyVoice | Apache-2 | Chinese | | Chatterbox | MIT | expressive | | Piper | MIT | embedded / offline | | StyleTTS2 | MIT | single-voice quality | | Parler | Apache-2 | style prompting | | Bark | MIT | creative / SFX | | Orpheus | Apache-2 | modern expressive | DROPPED: XTTS-v2 (CPML NC), F5-TTS (research). ### Image (`media-sd`) | Model | License | Best for | |---|---|---| | FLUX-schnell | Apache-2 | default (4-step distilled) | | Kolors | Apache-2 | bilingual EN/ZH | | Sana | Apache-2 | fast 4K | | ComfyUI | GPL-3 | node-graph workflows | DROPPED: FLUX-dev (NC), SDXL / SD3 base (restrictive). ### Video (`media-svd`) | Model | License | Best for | |---|---|---| | LTX-Video | Apache-2 | fastest | | CogVideoX | Apache-2 | high quality (slower) | | Mochi | Apache-2 | cinematic | | Wan | Apache-2 | versatile | DROPPED: Stable Video Diffusion (NC research). ### Music / SFX (`media-musicgen`) | Model | License | Best for | |---|---|---| | Riffusion | Apache-2 | spectrogram-diffusion | | YuE | Apache-2 | long-form structured | DROPPED: Meta MusicGen (CC-BY-NC). ### Lipsync (`media-lipsync`) | Model | License | |---|---| | LivePortrait | MIT | | LatentSync | Apache-2 | DROPPED: Wav2Lip (research), SadTalker (NC). ### OCR (`media-ocr-ai`) | Model | License | Best for | |---|---|---| | PaddleOCR | Apache-2 | Latin + Chinese default | | Tesseract 5 | Apache-2 | fastest classical | | TrOCR | MIT | handwriting | | EasyOCR | Apache-2 | multilingual | DROPPED: Surya (commercial restriction). ### Tagging / captioning (`media-tag`) CLIP (MIT), SigLIP (Apache-2), BLIP-2 (BSD), LLaVA (Apache-2 but needs Llama-2 backbone — check license). ### Stem separation (`media-demucs`) `htdemucs` 4-stem, `htdemucs_6s` 6-stem (adds guitar + piano). ### Speech-to-text (`media-whisper`) whisper.cpp (MIT fastest CPU), faster-whisper (MIT CUDA-accelerated). ## Example composite workflows ### Explainer video from script script → TTS voiceover (`media-tts-ai` Kokoro) → slide images (`media-sd` FLUX-schnell) → B-roll clips (`media-svd` LTX-Video) → host animation (`media-lipsync` LivePortrait) → background music (`media-musicgen` Riffusion) → assemble (`ffmpeg-cut-concat`) → mix (`ffmpeg-audio-filter` + sidechain ducking) → loudness normalize (`media-ffmpeg-normalize`) → auto-burn subtitles (`media-whisper` + `ffmpeg-subtitles`) → transcode H.264 → YouTube upload (`media-cloud-upload`). ### Multilingual voice clone 30 s clean reference → DeepFilterNet denoise → OpenVoice clone to EN/ES/FR/JP → per-track denoise → mux with localized subs. ### Book cover + trailer FLUX-schnell cover variations → LLaVA auto-describe for alt-text → Mochi cinematic trailer → StyleTTS2 narrator → YuE cinematic score → assemble. ### Automated podcast chapter thumbnails scenedetect chapter boundaries → extract frame per chapter → BLIP-2 caption → Kolors generate thumbnail from caption → embed chapter metadata. ### Digital human with cloned voice OpenVoice clone → LivePortrait drives portrait → FLUX-schnell branded background → chromakey + RVM matte composite → Riffusion audio bed → transcode + upload. ## Gotchas - **License discipline.** Always check the skill's `references/LICENSES.md` BEFORE adopting a new model. HuggingFace license field is NOT authoritative. Pin model weights to specific commit hashes. - **GPL-3 in ComfyUI / RVM** — requires source distribution if modified/redistributed. Use dynamically / in pipeline, not bundled into proprietary product. - **All Layer 9 skills need GPU** for reasonable throughput (10–50× slower on CPU). - **TTS sample rates vary:** Kokoro 24 kHz, Piper 22.05 kHz, StyleTTS2 24 kHz, OpenVoice 24 kHz. Resample ALL to 48 kHz before mixing. - **Voice cloning needs CLEAN reference.** Noisy sample → noisy clone. DeepFilterNet the reference first. - **FLUX-schnell is 4-step distilled.** Do NOT push `--steps` above 4–8 — wastes compute, no quality gain. - **ComfyUI workflow JSONs pin specific node versions.** Use ComfyUI Manager to install matching nodes. - **LTX-Video prompt adherence is phrasing-sensitive.** "cat running" ≠ "running cat". - **CogVideoX-5b needs ~20 GB VRAM.** 2b variant runs on 8 GB at lower quality. - **Riffusion produces 5.11-second clips natively.** Chain with crossfade for longer, or use YuE for structured long-form. - **LivePortrait expects clean frontal portrait.** Angled faces, glasses, occluded mouths degrade output. - **LivePortrait outputs 512×512 by default.** Upscale with `media-upscale` for larger. - **Whisper `large-v3` is 3 GB.** Test with `base.en` (140 MB) first — quality gap to `medium` (1.5 GB) is small for clean audio. - **Whisper hallucinates on silence.** Trim leading/trailing with `silenceremove`. - **Whisper word-level timestamps require `--word_timestamps True`** (faster-whisper) or `--max-len 1 --split-on-word` (whisper.cpp). - **Whisper `--language auto` is fragile on accented speech.** Specify language explicitly. - **Diarization is external to Whisper.** Use pyannote.audio (MIT) or simple-diarizer. - **OCR selection:** PaddleOCR for Latin+Chinese, TrOCR for handwriting, Tesseract for speed on clean docs. - **CLIP / SigLIP / BLIP-2 need fixed-resolution inputs** (224/336/384/448). The `tagctl.py` script resizes internally. - **LLaVA needs an LLM backbone** (Vicuna / Llama-2 7B+). Llama-2 community license has revenue caps. ## Related - `workflow-ai-enhancement` — for enhancing EXISTING footage (not generating new). - `workflow-podcast-pipeline` — for podcast-specific AI workflows. - `workflow-analysis-quality` — VMAF + QC on AI-generated output. --- Source attribution: damionrashford Original project: https://github.com/damionrashford/media-os/blob/5014c1e8b23fd3e18d49926d9aa147d15a3aa08e/skills/workflow-ai-generation/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Media OS Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: damionrashford Original project: https://github.com/damionrashford/media-os/blob/5014c1e8b23fd3e18d49926d9aa147d15a3aa08e/skills/workflow-ai-generation/SKILL.md Attribution basis: Source repository record Fields of work: Content & Media, Marketing Roles: Content Marketer, Growth Marketer, Influencer Marketer, Social Media Manager, Video Producer Specialties: Design Tools: Ffmpeg, Flux Schnell, Liveportrait, Ltx Video, Openvoice, Paddleocr, Riffusion, Whisper Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 061ec782dca660919f3fa695d7211ff6bd8f721a65a61ccee04d72f4637ee3b7