from typing import Optional, Tuple
import torch
import torch_npu
from pydantic import BaseModel
torch_npu.npu.set_compile_mode(jit_compile=False)
torch.npu.config.allow_internal_format = False
class GeneratorRequest(BaseModel):
prompt: str
sample_steps: int
base_seed: Optional[int] = 0
save_disk_path: Optional[str] = None
size: Optional[str] = '1280*720'
sample_guide_scale: Optional[Tuple[float, float]] = None
frame_num: Optional[int] = 81
sample_shift: Optional[float] = None
sample_solver: Optional[str] = 'unipc'
offload_model: Optional[bool] = False
sample_fps: Optional[int] = 16
task: Optional[str] = 't2v-A14B'
ckpt_dir: Optional[str] = '/data'
image: Optional[str] = None
class Config:
json_schema_extra = {
"example": {
"prompt": "a beautiful landscape",
"sample_steps": 40,
"base_seed": 0,
"save_disk_path": "/home/",
"size": "1280*720"
}
}