mirror of
https://github.com/lllyasviel/stable-diffusion-webui-forge.git
synced 2026-02-24 00:33:57 +00:00
116 lines
3.8 KiB
Python
116 lines
3.8 KiB
Python
from enum import Enum
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from typing import Any
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class StableDiffusionVersion(Enum):
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"""The version family of stable diffusion model."""
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UNKNOWN = 0
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SD1x = 1
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SD2x = 2
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SDXL = 3
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@staticmethod
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def detect_from_model_name(model_name: str) -> "StableDiffusionVersion":
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"""Based on the model name provided, guess what stable diffusion version it is.
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This might not be accurate without actually inspect the file content.
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"""
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if any(f"sd{v}" in model_name.lower() for v in ("14", "15", "16")):
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return StableDiffusionVersion.SD1x
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if "sd21" in model_name or "2.1" in model_name:
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return StableDiffusionVersion.SD2x
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if "xl" in model_name.lower():
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return StableDiffusionVersion.SDXL
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return StableDiffusionVersion.UNKNOWN
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def encoder_block_num(self) -> int:
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if self in (StableDiffusionVersion.SD1x, StableDiffusionVersion.SD2x, StableDiffusionVersion.UNKNOWN):
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return 12
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else:
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return 9 # SDXL
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def controlnet_layer_num(self) -> int:
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return self.encoder_block_num() + 1
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def is_compatible_with(self, other: "StableDiffusionVersion") -> bool:
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""" Incompatible only when one of version is SDXL and other is not. """
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return (
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any(v == StableDiffusionVersion.UNKNOWN for v in [self, other]) or
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sum(v == StableDiffusionVersion.SDXL for v in [self, other]) != 1
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)
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class ControlModelType(Enum):
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"""
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The type of Control Models (supported or not).
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"""
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ControlNet = "ControlNet, Lvmin Zhang"
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T2I_Adapter = "T2I_Adapter, Chong Mou"
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T2I_StyleAdapter = "T2I_StyleAdapter, Chong Mou"
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T2I_CoAdapter = "T2I_CoAdapter, Chong Mou"
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MasaCtrl = "MasaCtrl, Mingdeng Cao"
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GLIGEN = "GLIGEN, Yuheng Li"
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AttentionInjection = "AttentionInjection, Lvmin Zhang" # A simple attention injection written by Lvmin
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StableSR = "StableSR, Jianyi Wang"
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PromptDiffusion = "PromptDiffusion, Zhendong Wang"
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ControlLoRA = "ControlLoRA, Wu Hecong"
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ReVision = "ReVision, Stability"
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IPAdapter = "IPAdapter, Hu Ye"
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Controlllite = "Controlllite, Kohya"
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def allow_context_sharing(self) -> bool:
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"""Returns whether this control model type allows the same PlugableControlModel
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object map to multiple ControlNetUnit.
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Both IPAdapter and Controlllite have unit specific input (clip/image) stored
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on the model object during inference. Sharing the context means that the input
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set earlier gets lost.
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"""
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return self not in (
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ControlModelType.IPAdapter,
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ControlModelType.Controlllite,
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)
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# Written by Lvmin
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class AutoMachine(Enum):
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"""
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Lvmin's algorithm for Attention/AdaIn AutoMachine States.
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"""
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Read = "Read"
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Write = "Write"
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StyleAlign = "StyleAlign"
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class HiResFixOption(Enum):
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BOTH = "Both"
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LOW_RES_ONLY = "Low res only"
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HIGH_RES_ONLY = "High res only"
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@staticmethod
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def from_value(value: Any) -> "HiResFixOption":
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if isinstance(value, str) and value.startswith("HiResFixOption."):
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_, field = value.split(".")
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return getattr(HiResFixOption, field)
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if isinstance(value, str):
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return HiResFixOption(value)
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elif isinstance(value, int):
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return [x for x in HiResFixOption][value]
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else:
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assert isinstance(value, HiResFixOption)
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return value
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class InputMode(Enum):
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# Single image to a single ControlNet unit.
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SIMPLE = "simple"
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# Input is a directory. N generations. Each generation takes 1 input image
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# from the directory.
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BATCH = "batch"
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# Input is a directory. 1 generation. Each generation takes N input image
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# from the directory.
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MERGE = "merge"
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