face identity remains very stable across longer multi-event timelines.
Also, I've just added the Sulphur model hosted on a private server specifically to enhance multi-event consistency without consuming any ZeroGPU quota!
dayona PRO
dayona
AI & ML interests
Very well
Recent Activity
repliedto their post about 13 hours ago
Wan 2.2 I2V 14B Lightning
Generate ultra-realistic, cinematic motion videos in 4β8 steps with 70%+ ZeroGPU quota savings
β‘ 4-Step Lightning Inference π FP8 Quantized & AoT C++ Compiled π¬ Prompt Relay Multi-Event π€ Lock Face Identity (CPU 0 Quota) π₯ Custom Civitai LoRA Downloader π¬ RIFE 32 FPS (2s GPU β 4s Video)
β‘ Wan 2.2 4-Step Lightning & AoT C++ Compilation
Base Wan 2.2 14B model pre-compiled with NVIDIA C++ AOT kernels (~2.08s/step), rendering videos in 4 steps (10x faster than 40 steps).
π¬ Prompt Relay (Multi-Event Timeline Control)
Exclusive feature routing multi-scene storylines ([0s-2s] Scene A β [2s-4s] Scene B) in a single render with 0 extra GPU quota.
π€ Lock Face Identity (CPU Face Swap)
Preserves and re-applies exact face identity from input image across frames using InsightFace on CPU (0 GPU quota used).
π₯ Custom Civitai LoRA Downloader & CPU Pre-Download
Paste any Civitai direct URL to download LoRAs to cache. Features a CPU Pre-Download button to prevent GPU quota waste on network drops.
π¬ RIFE 32 FPS Fluidity & Duration Extension
Renders 2s on GPU (~8.3s quota), then CPU interpolates frames into a ultra-smooth 4s video with 0 extra GPU quota.
π― Smart ZeroGPU Quota Auto-Calibration
Auto-calibrated GPU quota reservation formula adjusting for CFG scale & 3D attention, preventing premature quota exhaustion.
https://huggingface.co/spaces/dayona/wan2.2-smart-i2v
reacted to theirpost with π₯ about 13 hours ago
Wan 2.2 I2V 14B Lightning
Generate ultra-realistic, cinematic motion videos in 4β8 steps with 70%+ ZeroGPU quota savings
β‘ 4-Step Lightning Inference π FP8 Quantized & AoT C++ Compiled π¬ Prompt Relay Multi-Event π€ Lock Face Identity (CPU 0 Quota) π₯ Custom Civitai LoRA Downloader π¬ RIFE 32 FPS (2s GPU β 4s Video)
β‘ Wan 2.2 4-Step Lightning & AoT C++ Compilation
Base Wan 2.2 14B model pre-compiled with NVIDIA C++ AOT kernels (~2.08s/step), rendering videos in 4 steps (10x faster than 40 steps).
π¬ Prompt Relay (Multi-Event Timeline Control)
Exclusive feature routing multi-scene storylines ([0s-2s] Scene A β [2s-4s] Scene B) in a single render with 0 extra GPU quota.
π€ Lock Face Identity (CPU Face Swap)
Preserves and re-applies exact face identity from input image across frames using InsightFace on CPU (0 GPU quota used).
π₯ Custom Civitai LoRA Downloader & CPU Pre-Download
Paste any Civitai direct URL to download LoRAs to cache. Features a CPU Pre-Download button to prevent GPU quota waste on network drops.
π¬ RIFE 32 FPS Fluidity & Duration Extension
Renders 2s on GPU (~8.3s quota), then CPU interpolates frames into a ultra-smooth 4s video with 0 extra GPU quota.
π― Smart ZeroGPU Quota Auto-Calibration
Auto-calibrated GPU quota reservation formula adjusting for CFG scale & 3D attention, preventing premature quota exhaustion.
https://huggingface.co/spaces/dayona/wan2.2-smart-i2v
published a Space about 24 hours ago
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