generative-models

工具介绍

稳定AI的基因模型

核心特点

• •To generate longer novel-view videos, we autoregressively generate 12 frames at a time and use the previous generation as conditioning views for the remaining frames.
• •Please check our project page, arxiv paper and video summary for more details.
• •Download SV4D 2.0 model (sv4d2.safetensors) from here to checkpoints/: huggingface-cli download stabilityai/sv4d2.0 sv4d2.safetensors --local-dir checkpoints
• •Run inference: python scripts/sampling/simple_video_sample_4d2.py --input_path <path/to/video>
• •input_path : The input video <path/to/video> can be
• •a single video file in gif or mp4 format, such as assets/sv4d_videos/camel.gif, or
• •a folder containing images of video frames in .jpg, .jpeg, or .png format, or
• •a file name pattern matching images of video frames.
• •num_steps : default is 50, can decrease to it to shorten sampling time.
• •elevations_deg : specified elevations (reletive to input view), default is 0.0 (same as input view).