46 lines
2.3 KiB
Python
46 lines
2.3 KiB
Python
from typing import Optional, List, Dict, Any
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from pydantic import BaseModel, Field
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class Benchmark_Payload(BaseModel):
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prompt: str = Field(default="A herd of cows grazing at the bottom of a sunny valley")
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negative_prompt: str = Field(default="")
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steps: int = Field(default=20)
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width: int = Field(default=512)
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height: int = Field(default=512)
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batch_size: int = Field(default=1)
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class Worker_Model(BaseModel):
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avg_ipm: Optional[float] = Field(
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title='Average Speed',
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description='the speed of a device measured in ipm(images per minute)',
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ge=0
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)
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master: bool = Field(description="whether or not an instance is the master(local) node", default=False)
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address: Optional[str] = Field(default='localhost')
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port: Optional[int] = Field(default=7860, ge=0, le=65535)
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eta_percent_error: Optional[List[float]] = Field(
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title='ETA Percent Error',
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description='A list of eta prediction percent errors from the last session',
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default=list()
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)
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tls: Optional[bool] = Field(
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title='Transport Layer Security',
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description='Whether or not to make requests to a worker securely',
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default=False
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)
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state: Optional[Any] = Field(default=1, description="The last known state of this worker")
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user: Optional[str] = Field(description="The username to be used when authenticating with this worker")
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password: Optional[str] = Field(description="The password to be used when authenticating with this worker")
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pixel_cap: Optional[int] = Field(default=-1, description="Max amount of pixels to allow one worker to handle at the same time. -1 means there is no limit")
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class ConfigModel(BaseModel):
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workers: List[Dict[str, Worker_Model]]
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benchmark_payload: Dict = Field(
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default=Benchmark_Payload,
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description='the payload used when benchmarking a node'
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)
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job_timeout: Optional[int] = Field(default=3)
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enabled: Optional[bool] = Field(description="Whether the extension as a whole should be active or disabled", default=True)
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complement_production: Optional[bool] = Field(description="Whether to generate complementary images to prevent under-utilizing hardware", default=True)
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step_scaling: Optional[bool] = Field(description="Whether to downscale requested steps in order to meet time constraints", default=False)
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