ti2v_demo.py 默认推理参数
DEFAULT_NUM_FRAMES = 189
DEFAULT_HEIGHT = 720
DEFAULT_WIDTH = 1280
DEFAULT_FPS = 24.0
DEFAULT_GUIDANCE_SCALE = 6.0
DEFAULT_NUM_INFERENCE_STEPS = 35
this is my reproduce parameters, and I use the https://github.com/SHI-Labs/physical-ai-bench as repo with qwen-VL-72B, I only get domain score about 83 when testing cosmos3-nano
installation method: diffusers
reference inference code: https://huggingface.co/docs/diffusers/main/en/api/pipelines/cosmos3
ti2v_demo.py 默认推理参数
DEFAULT_NUM_FRAMES = 189
DEFAULT_HEIGHT = 720
DEFAULT_WIDTH = 1280
DEFAULT_FPS = 24.0
DEFAULT_GUIDANCE_SCALE = 6.0
DEFAULT_NUM_INFERENCE_STEPS = 35
this is my reproduce parameters, and I use the https://github.com/SHI-Labs/physical-ai-bench as repo with qwen-VL-72B, I only get domain score about 83 when testing cosmos3-nano
installation method: diffusers
reference inference code: https://huggingface.co/docs/diffusers/main/en/api/pipelines/cosmos3