mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
|
|
|
|
from typing import Literal, Optional
|
|
|
|
import numpy as np
|
|
from pydantic import Field
|
|
|
|
from invokeai.app.util.misc import SEED_MAX, get_random_seed
|
|
|
|
from .baseinvocation import (
|
|
BaseInvocation,
|
|
InvocationContext,
|
|
BaseInvocationOutput,
|
|
)
|
|
|
|
|
|
class IntCollectionOutput(BaseInvocationOutput):
|
|
"""A collection of integers"""
|
|
|
|
type: Literal["int_collection"] = "int_collection"
|
|
|
|
# Outputs
|
|
collection: list[int] = Field(default=[], description="The int collection")
|
|
|
|
|
|
class RangeInvocation(BaseInvocation):
|
|
"""Creates a range"""
|
|
|
|
type: Literal["range"] = "range"
|
|
|
|
# Inputs
|
|
start: int = Field(default=0, description="The start of the range")
|
|
stop: int = Field(default=10, description="The stop of the range")
|
|
step: int = Field(default=1, description="The step of the range")
|
|
|
|
def invoke(self, context: InvocationContext) -> IntCollectionOutput:
|
|
return IntCollectionOutput(
|
|
collection=list(range(self.start, self.stop, self.step))
|
|
)
|
|
|
|
|
|
class RandomRangeInvocation(BaseInvocation):
|
|
"""Creates a collection of random numbers"""
|
|
|
|
type: Literal["random_range"] = "random_range"
|
|
|
|
# Inputs
|
|
low: int = Field(default=0, description="The inclusive low value")
|
|
high: int = Field(
|
|
default=np.iinfo(np.int32).max, description="The exclusive high value"
|
|
)
|
|
size: int = Field(default=1, description="The number of values to generate")
|
|
seed: int = Field(
|
|
ge=0,
|
|
le=SEED_MAX,
|
|
description="The seed for the RNG (omit for random)",
|
|
default_factory=get_random_seed,
|
|
)
|
|
|
|
def invoke(self, context: InvocationContext) -> IntCollectionOutput:
|
|
rng = np.random.default_rng(self.seed)
|
|
return IntCollectionOutput(
|
|
collection=list(rng.integers(low=self.low, high=self.high, size=self.size))
|
|
)
|