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from enum import Enum |
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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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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" |
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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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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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