zsxkib/stable-video-face-restoration 🖼️🔢❓ → 🖼️

▶️ 753 runs 📅 Jan 2025 ⚙️ Cog 0.13.6 🔗 GitHub 📄 Paper ⚖️ License

video-colorization video-inpainting video-restoration

About

SVFR: A Unified Framework for Generalized Video Face Restoration

Example Output

Output

Performance Metrics

107.25s Prediction Time

330.70s Total Time

All Input Parameters

{
  "seed": -1,
  "tasks": "face-restoration-and-colorization",
  "video": "https://replicate.delivery/pbxt/MIbOfHGBUvbjrd6qxFBb1ujR4FsyJfspsrN6EFbZfOM6CtZp/lq3.mp4"
}

Input Parameters

mask Type: string: An inpainting mask image (white areas will be restored). Only required when tasks includes inpainting.
seed Type: integer: Random seed. Leave blank to randomize.
tasks Default: face-restoration: Which restoration tasks to apply.
video (required) Type: string: Input video file (e.g. MP4).
overlap Type: integerDefault: 3: Number of overlapping frames between segments.
decode_chunk_size Type: integerDefault: 16: Chunk size for decoding long videos.
i2i_noise_strength Type: numberDefault: 1: Image-to-image noise strength.
noise_aug_strength Type: numberDefault: 0: Noise augmentation strength.
num_inference_steps Type: integerDefault: 30: Number of diffusion steps.
max_appearance_guidance_scale Type: numberDefault: 2: Maximum guidance scale for restoration.
min_appearance_guidance_scale Type: numberDefault: 2: Minimum guidance scale for restoration.

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

Using seed: 32680
CUDA_VISIBLE_DEVICES is not set.
task_ids: [0, 1]
task_prompt: [1, 1, 0]
total_frames: 54
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Version Details

Version ID: 63512c77555a80ca5c84c590641036ba9f938d38b9a1841ea369780072561373
Version Created: January 14, 2025

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