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Instavar Blog

Make better content decisions.

Practical lessons on video, distribution, and measurement. Start with the question you need to answer, then go deeper when it helps.

Latest notes.

  • Surya OCR 2 Layout Analysis - Why Higher F1 Did Not Make It Our Default

    Surya OCR 2 beat Paddle on layout F1 in two public-safe tests, but weaker label coverage, fragmented boxes, and fallback behavior kept it out of our default OCR pipeline.

  • How to Position a Kids Furniture Business by Studying What Parents Compare

    A concrete method for studying what parents worry about, what furniture brands they compare, what public discussions reveal, and what each website makes easy or hard to picture before writing a clearer positioning line.

  • How We Used SkillOpt to Stress-Test Codex Skills

We adapted the SkillOpt idea into a practical test loop for Codex skills: synthetic edge cases, narrow edits, and fresh unseen score streaks before we trusted an improvement.

  • Open-Source Lip Sync Models Compared in 2026

    A practical comparison of LatentSync, KeySync, MuseTalk, InfiniteTalk, LTX LipDub, VideoReTalking, Wav2Lip, Diff2Lip, Hallo, EchoMimic, and TalkVerse for production video dubbing workflows.

  • Supertonic 3 On-Device TTS Reality Check on macOS

    A first-party Supertonic 3 smoke test on Apple Silicon macOS: ONNX Runtime CPU setup, model cache size, RAM usage, audio output, no-discrete-VRAM behavior, and where it fits against Qwen3-TTS, Kokoro, F5-TTS, and CosyVoice.

  • Function Calling and MCP First Principles

    A plain-language walkthrough of how function calling and MCP fit together in a production agent loop.

  • AI Video Anchor Frames: First and Last Frame Continuity Playbook

    A practical playbook for using first-frame and last-frame anchors in AI video generation, grounded in a Seedance titration workflow where anchors fixed colour continuity, exposed composition drift, and shaped the final QA gate.

  • FP8 on RTX 3090 Ti - What Actually Works on Consumer GPUs

    FP8 on an RTX 3090 Ti is useful, but not for the reason most examples imply. Ampere SM 8.6 can use FP8 as a storage dtype for VRAM savings, while native FP8 tensor-core compute starts with newer GPU architectures. Here is the practical guide for FLUX-style image and video pipelines on 24 GB cards.

  • LoRA vs Full SFT for Voice Models - What Actually Changes on a 24 GB GPU

    A practical guide to choosing LoRA or full supervised fine-tuning for TTS and voice cloning models on RTX 3090 Ti and RTX 4090 class GPUs, using first-party Qwen3-TTS, VoxCPM, CosyVoice, and IndexTTS2 runs.

  • Mining Claude Code and Codex Logs Into a Knowledge Base

    A practical guide to turning agent transcripts into reusable engineering memory without dumping every JSONL file into a vector database.

  • VoxCPM 2 Full SFT on a 24 GB GPU - The Run That Actually Fit

    First-party notes from a VoxCPM 2 full supervised fine-tuning run on an RTX 3090 Ti, including the memory failures, the working PagedAdamW8bit recipe, dataset cleanup, validation results, and checkpoint selection.

  • OpenAI Codex CLI /goal Command: What It Does and How to Enable It

    A source-inspected guide to the experimental OpenAI Codex CLI /goal command: what it stores, how it lets Codex continue work, how to enable the goals feature today, and why Codex Desktop users should treat it as CLI-only for now.

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