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c5bb928 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | from enum import Enum
class StableDiffusionVersion(Enum):
"""The version family of stable diffusion model."""
UNKNOWN = 0
SD1x = 1
SD2x = 2
SDXL = 3
@staticmethod
def detect_from_model_name(model_name: str) -> "StableDiffusionVersion":
"""Based on the model name provided, guess what stable diffusion version it is.
This might not be accurate without actually inspect the file content.
"""
if any(f"sd{v}" in model_name.lower() for v in ("14", "15", "16")):
return StableDiffusionVersion.SD1x
if "sd21" in model_name or "2.1" in model_name:
return StableDiffusionVersion.SD2x
if "xl" in model_name.lower():
return StableDiffusionVersion.SDXL
return StableDiffusionVersion.UNKNOWN
class ControlModelType(Enum):
"""
The type of Control Models (supported or not).
"""
ControlNet = "ControlNet, Lvmin Zhang"
T2I_Adapter = "T2I_Adapter, Chong Mou"
T2I_StyleAdapter = "T2I_StyleAdapter, Chong Mou"
T2I_CoAdapter = "T2I_CoAdapter, Chong Mou"
MasaCtrl = "MasaCtrl, Mingdeng Cao"
GLIGEN = "GLIGEN, Yuheng Li"
AttentionInjection = "AttentionInjection, Lvmin Zhang" # A simple attention injection written by Lvmin
StableSR = "StableSR, Jianyi Wang"
PromptDiffusion = "PromptDiffusion, Zhendong Wang"
ControlLoRA = "ControlLoRA, Wu Hecong"
ReVision = "ReVision, Stability"
IPAdapter = "IPAdapter, Hu Ye"
Controlllite = "Controlllite, Kohya"
# Written by Lvmin
class AutoMachine(Enum):
"""
Lvmin's algorithm for Attention/AdaIn AutoMachine States.
"""
Read = "Read"
Write = "Write"
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