papina/seedvr2

🔥 SeedVR2: one-step video & image restoration with 7B and Adjustable Resolution

Public
1.1K runs

Run time and cost

This model costs approximately $0.020 to run on Replicate, or 50 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia H100 GPU hardware. Predictions typically complete within 14 seconds.

Readme

Inputs

Name Type Description Default
media file / URL Video (.mp4, .mov) or image (.png, .jpg, .webp) to restore. –
cfg_scale float Classifier-free guidance scale (higher = stronger restoration). 1.0
sample_steps integer Diffusion sampling steps (1 = fast one-step mode). 1
sp_size integer Sequence-parallel shard heuristic (single-GPU build only accepts 1). 1
fps integer Frames-per-second for video outputs. 24
seed integer Random seed. Use -1 for random seed each call. -1 (random)
output_format string Image output format (only used for image inputs). png
output_quality integer Image quality for lossy formats (jpg/webp). 90
apply_color_fix boolean Apply optional wavelet color correction (matches official demo). false
model_variant string Model size to run. 7b
resolution integer Target resolution for the shortest edge in pixels. Automatically maintains aspect ratio. 1080
max_resolution integer Maximum resolution limit for any dimension (0 = no limit). 3840
Model created