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https://github.com/invoke-ai/InvokeAI.git
synced 2026-04-23 03:00:31 -04:00
fix relative model paths to be against config.models_path, not root
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@@ -63,7 +63,7 @@ from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionS
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from diffusers.pipelines.stable_diffusion.stable_unclip_image_normalizer import StableUnCLIPImageNormalizer
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from invokeai.backend.util.logging import InvokeAILogger
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from invokeai.app.services.config import InvokeAIAppConfig, MODEL_CORE
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from invokeai.app.services.config import InvokeAIAppConfig
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from picklescan.scanner import scan_file_path
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from .models import BaseModelType, ModelVariantType
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@@ -81,7 +81,7 @@ if is_accelerate_available():
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from accelerate.utils import set_module_tensor_to_device
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logger = InvokeAILogger.getLogger(__name__)
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CONVERT_MODEL_ROOT = InvokeAIAppConfig.get_config().root_path / MODEL_CORE / "convert"
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CONVERT_MODEL_ROOT = InvokeAIAppConfig.get_config().models_path / "core/convert"
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def shave_segments(path, n_shave_prefix_segments=1):
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@@ -1281,7 +1281,7 @@ def download_from_original_stable_diffusion_ckpt(
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original_config = OmegaConf.load(original_config_file)
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if (
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model_version == BaseModelType.StableDiffusion2
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and original_config["model"]["params"]["parameterization"] == "v"
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and original_config["model"]["params"].get("parameterization") == "v"
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):
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prediction_type = "v_prediction"
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upcast_attention = True
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@@ -456,7 +456,7 @@ class ModelManager(object):
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raise ModelNotFoundException(f"Model not found - {model_key}")
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model_config = self.models[model_key]
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model_path = self.app_config.root_path / model_config.path
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model_path = self.app_config.models_path / model_config.path
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if not model_path.exists():
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if model_class.save_to_config:
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@@ -623,7 +623,7 @@ class ModelManager(object):
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self.cache.uncache_model(cache_id)
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# if model inside invoke models folder - delete files
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model_path = self.app_config.root_path / model_cfg.path
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model_path = self.app_config.models_path / model_cfg.path
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cache_path = self._get_model_cache_path(model_path)
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if cache_path.exists():
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rmtree(str(cache_path))
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@@ -656,8 +656,8 @@ class ModelManager(object):
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"""
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# relativize paths as they go in - this makes it easier to move the root directory around
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if path := model_attributes.get("path"):
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if Path(path).is_relative_to(self.app_config.root_path):
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model_attributes["path"] = str(Path(path).relative_to(self.app_config.root_path))
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if Path(path).is_relative_to(self.app_config.models_path):
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model_attributes["path"] = str(Path(path).relative_to(self.app_config.models_path))
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model_class = MODEL_CLASSES[base_model][model_type]
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model_config = model_class.create_config(**model_attributes)
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@@ -732,7 +732,7 @@ class ModelManager(object):
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/ new_name
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)
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move(old_path, new_path)
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model_cfg.path = str(new_path.relative_to(self.app_config.root_path))
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model_cfg.path = str(new_path.relative_to(self.app_config.models_path))
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# clean up caches
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old_model_cache = self._get_model_cache_path(old_path)
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@@ -795,7 +795,7 @@ class ModelManager(object):
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info["path"] = (
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str(new_diffusers_path)
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if dest_directory
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else str(new_diffusers_path.relative_to(self.app_config.root_path))
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else str(new_diffusers_path.relative_to(self.app_config.models_path))
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)
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info.pop("config")
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@@ -883,10 +883,17 @@ class ModelManager(object):
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new_models_found = False
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self.logger.info(f"Scanning {self.app_config.models_path} for new models")
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with Chdir(self.app_config.root_path):
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with Chdir(self.app_config.models_path):
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for model_key, model_config in list(self.models.items()):
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model_name, cur_base_model, cur_model_type = self.parse_key(model_key)
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model_path = self.app_config.root_path.absolute() / model_config.path
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# Patch for relative path bug in older models.yaml - paths should not
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# be starting with a hard-coded 'models'. This will also fix up
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# models.yaml when committed.
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if model_config.path.startswith('models'):
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model_config.path = str(Path(*Path(model_config.path).parts[1:]))
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model_path = self.app_config.models_path.absolute() / model_config.path
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if not model_path.exists():
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model_class = MODEL_CLASSES[cur_base_model][cur_model_type]
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if model_class.save_to_config:
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@@ -919,8 +926,8 @@ class ModelManager(object):
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if model_key in self.models:
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raise DuplicateModelException(f"Model with key {model_key} added twice")
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if model_path.is_relative_to(self.app_config.root_path):
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model_path = model_path.relative_to(self.app_config.root_path)
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if model_path.is_relative_to(self.app_config.models_path):
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model_path = model_path.relative_to(self.app_config.models_path)
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model_config: ModelConfigBase = model_class.probe_config(str(model_path))
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self.models[model_key] = model_config
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@@ -971,7 +978,7 @@ class ModelManager(object):
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# LS: hacky
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# Patch in the SD VAE from core so that it is available for use by the UI
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try:
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self.heuristic_import({config.root_path / "models/core/convert/sd-vae-ft-mse"})
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self.heuristic_import({config.models_path / "core/convert/sd-vae-ft-mse"})
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except:
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pass
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@@ -259,7 +259,7 @@ def _convert_ckpt_and_cache(
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"""
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app_config = InvokeAIAppConfig.get_config()
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weights = app_config.root_path / model_config.path
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weights = app_config.models_path / model_config.path
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config_file = app_config.root_path / model_config.config
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output_path = Path(output_path)
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