Bigger fast-swap time window (400/500s)

Raise fast-swap GPU time budget (GPU inswapper + first-run downloads)

Add Quick Start scenario picker with per-scenario guide-video requirement hints

Add Fast Swap mode (InsightFace inswapper) as default — deterministic, promptless, actually swaps (app.py)

Expose guide-adherence (condition strength) slider; defaults 0.7/1.0 for actual head swap (app.py)

Fix ZeroGPU lifecycle + V2V guide-video conditioning (app.py)

Fix: restore lora_strength default to 1.0 (was 0.0 from diagnostic run)

diagnostic: default lora_strength to 0.0 to test base pipeline

Fix BLIP-2 auto-describe: decode only new tokens, not full prompt+answer sequence

Wrap generate in try/except to surface real error in status box

Handle Gradio 5.x VideoData dict in generate(); extract plain path before use

Switch auto-describe from SmolVLM to BLIP-2 (fixes ImportError)

Fix auto-describe: use batch_decode instead of decode, add multi-marker assistant reply extraction

Switch auto-describe from Florence-2 to SmolVLM-Instruct (fixes forced_bos_token_id crash)

Add auto-describe (Florence-2), face alignment (InsightFace), GFPGAN enhancement, trim note

Update app title to FaceOff-FaceSwapper

Add gr.Examples with local face image (fixes Wikipedia 403)

Enable show_error=True to expose runtime errors

Fix: monkey-patch gradio_client boolean schema bug causing /gradio_api/info 500

Fix build: remove gradio pins (let HF own), fix pydantic v2, fix progress param

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Fix: set api_name=False to suppress gradio_client schema TypeError on /api/info

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