Bump diffusers to >=0.34.0 for LTX 0.9.8 support

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

Fix: load full pipeline from distilled repo to fix VAE/scheduler version mismatch

diagnostic: default lora_strength to 0.0 to test base pipeline

Diagnostic: set BFS LoRA weight=0 to isolate base pipeline vs LoRA corruption

Fix scrambled output: switch output_type pt→np (no tensor permute guessing)

Add peft (required for load_lora_weights)

Add tiktoken + sentencepiece for LTX-Video tokenizer

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

Switch to LTX-Video-0.9.8-13B-distilled + ltx-2 BFS LoRA; fix 22B architecture mismatch

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 gfpgan, insightface, onnxruntime, timm dependencies

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

Update app title to FaceOff-FaceSwapper

Rename to FaceOff-FaceSwapper

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

Add example face image for gr.Examples

Upgrade Gradio sdk_version 5.7.1 → 5.50.0 (fixes VideoData schema validation error)

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

Fix: update gradio to 5.7.1, gradio_client, pydantic v2

Update requirements.txt

Update app.py

Update app.py

Update requirements.txt

Update requirements.txt

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Switch base model to SulphurAI/Sulphur-2-base (fp8mixed transformer + Sulphur distill LoRA)

Delete workflows

Update v3.0 workflow to use Sulphur-2-base as the base model

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

Fix: bump gradio to 5.7.1 to resolve HfFolder ImportError with huggingface_hub 1.x

Fix: replace pyaudioop with audioop-lts for Python 3.13 compatibility

Fix: add pyaudioop for Python 3.13 audioop compatibility

Upload README.md with huggingface_hub

Upload folder using huggingface_hub

initial commit