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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
refactor get_submodels() into individual methods
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@ -10,7 +10,7 @@ from .generator import (
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Img2Img,
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Inpaint
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)
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from .model_management import ModelManager, SDModelComponent
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from .model_management import ModelManager
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from .safety_checker import SafetyChecker
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from .args import Args
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from .globals import Globals
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@ -5,6 +5,6 @@ from .convert_ckpt_to_diffusers import (
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convert_ckpt_to_diffusers,
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load_pipeline_from_original_stable_diffusion_ckpt,
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)
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from .model_manager import ModelManager,SDModelComponent
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from .model_manager import ModelManager
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@ -27,6 +27,7 @@ import transformers
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from diffusers import (
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AutoencoderKL,
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UNet2DConditionModel,
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SchedulerMixin,
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logging as dlogging,
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)
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from huggingface_hub import scan_cache_dir
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@ -169,7 +170,55 @@ class ModelManager(object):
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"hash": hash,
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}
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def get_sub_model(
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def get_model_vae(self, model_name: str=None)->AutoencoderKL:
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"""Given a model name identified in models.yaml, load the model into
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GPU if necessary and return its assigned VAE as an
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AutoencoderKL object. If no model name is provided, return the
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vae from the model currently in the GPU.
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"""
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return self._get_sub_model(model_name, SDModelComponent.vae)
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def get_model_tokenizer(self, model_name: str=None)->CLIPTokenizer:
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"""Given a model name identified in models.yaml, load the model into
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GPU if necessary and return its assigned CLIPTokenizer. If no
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model name is provided, return the tokenizer from the model
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currently in the GPU.
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"""
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return self._get_sub_model(model_name, SDModelComponent.tokenizer)
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def get_model_unet(self, model_name: str=None)->UNet2DConditionModel:
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"""Given a model name identified in models.yaml, load the model into
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GPU if necessary and return its assigned UNet2DConditionModel. If no model
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name is provided, return the UNet from the model
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currently in the GPU.
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"""
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return self._get_sub_model(model_name, SDModelComponent.unet)
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def get_model_text_encoder(self, model_name: str=None)->CLIPTextModel:
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"""Given a model name identified in models.yaml, load the model into
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GPU if necessary and return its assigned CLIPTextModel. If no
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model name is provided, return the text encoder from the model
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currently in the GPU.
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"""
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return self._get_sub_model(model_name, SDModelComponent.text_encoder)
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def get_model_feature_extractor(self, model_name: str=None)->CLIPFeatureExtractor:
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"""Given a model name identified in models.yaml, load the model into
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GPU if necessary and return its assigned CLIPFeatureExtractor. If no
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model name is provided, return the text encoder from the model
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currently in the GPU.
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"""
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return self._get_sub_model(model_name, SDModelComponent.feature_extractor)
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def get_model_scheduler(self, model_name: str=None)->SchedulerMixin:
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"""Given a model name identified in models.yaml, load the model into
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GPU if necessary and return its assigned scheduler. If no
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model name is provided, return the text encoder from the model
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currently in the GPU.
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"""
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return self._get_sub_model(model_name, SDModelComponent.scheduler)
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def _get_sub_model(
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self,
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model_name: str=None,
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model_part: SDModelComponent=SDModelComponent.vae,
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@ -181,7 +230,7 @@ class ModelManager(object):
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CLIPTextModel,
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StableDiffusionSafetyChecker,
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]:
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"""Given a model named identified in models.yaml, and the part of the
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"""Given a model name identified in models.yaml, and the part of the
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model you wish to retrieve, return that part. Parts are in an Enum
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class named SDModelComponent, and consist of:
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SDModelComponent.vae
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@ -190,7 +239,7 @@ class ModelManager(object):
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SDModelComponent.unet
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SDModelComponent.scheduler
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SDModelComponent.safety_checker
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SDModelComponent.feature_etractor
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SDModelComponent.feature_extractor
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"""
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model_dict = self.get_model(model_name)
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model = model_dict["model"]
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