Upload app.py with huggingface_hub

Upload app.py with huggingface_hub

Upload app.py with huggingface_hub

Upload app.py with huggingface_hub

Upload app.py with huggingface_hub

Upload app.py with huggingface_hub

Upload app.py with huggingface_hub

Upload requirements.txt with huggingface_hub

Upload app.py with huggingface_hub

Add identity-preserving BLINK LoRAs (NSFWcode, lopi999, Outfit), fix -H-/-L- pairing

Add identity-preserving BLINK LoRAs (NSFWcode, lopi999, Outfit), fix -H-/-L- pairing

Lower LoRA scale default 0.8->0.6, LightX2V low-noise fuse 1.0->0.7 for better identity preservation

Re-enable int8 T5 quant (frees VRAM), remove VAE slicing for faster decode

Enable VAE tiling+slicing to fix OOM during decode (T5 in bfloat16 uses more VRAM)

Switch to plain diffusers (load_into_transformer_2 merged upstream), drop fork + conversion patch

Switch to plain diffusers (load_into_transformer_2 merged upstream), drop fork + conversion patch

Patch _convert_non_diffusers_wan_lora_to_diffusers: make head keys optional

Add loras.txt catalogue

Add SageAttn + LightX2V distill LoRA + remove text enc quant + flow_shift=6

Add SageAttn + LightX2V distill LoRA + remove text enc quant + flow_shift=6

Add SageAttn + LightX2V distill LoRA + remove text enc quant + flow_shift=6

Increase default steps 6->20 (prompt adherence), max steps 30->50, GPU cap 300->600s

Revert guidance_scale to 1.0 and flow_shift to 3.0 (AOTI built for single-pass mode)

Fix guidance scale defaults (1→5), set_adapters per-transformer, flow_shift 3→6

Add extra LoRA repos from UnifiedHorusRA and obsxrver

Fix AOTI+LoRA: disable compiled blocks for LoRA path, adaptive duration

Patch TorchaoLoraLinear for dynamic LoRA on fp8 model

Fix gr.Video buttons kwarg - not supported in gradio 5.29

Add RIFE model/ directory files

Add RIFE model/ directory files

Add RIFE model/ directory files

Update packages.txt - r3gm base with LoRA gallery

Update requirements.txt - r3gm base with LoRA gallery

Update aoti.py - r3gm base with LoRA gallery

Update app.py - r3gm base with LoRA gallery

Fix: patch ALL cuda.get_device_capability calls in shared/attention.py

Fix: patch shared/attention.py CUDA-at-startup for ZeroGPU

Fix: pre-install pygame at build time; add to pinned prefixes

Fix: pre-install pygame at build time; add to pinned prefixes

Fix: inject HF_HUB_ENABLE_HF_TRANSFER if missing before snapshot_download

Fix: loosen huggingface_hub to >=0.28.1 (gradio 5.29 compat)

Fix: pin huggingface_hub==0.27.0, block Wan2GP from overriding it

Fix: pin huggingface_hub==0.27.0, block Wan2GP from overriding it

Fix: import spaces first; locate packages via pip show; patch without importing

Fix: patch torchao_quantizer logger bug + remove optimum.quanto diffusers_models import

Fix diffusers/optimum-quanto version conflict

Fix diffusers/optimum-quanto version conflict

Fix: strip custom index URLs from Wan2GP requirements before install

Add app.py

Add requirements.txt