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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
allow checkpoint config files to use root-relative paths
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parent
72b44f7ebc
commit
27622dfd5e
@ -44,7 +44,7 @@ class ControlNetLoader(GenericDiffusersLoader):
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)
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self._logger.info(f"Converting {model_path} to diffusers format")
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with open(config.config_path, "r") as config_stream:
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with open(self._app_config.root_path / config.config_path, "r") as config_stream:
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convert_controlnet_to_diffusers(
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model_path,
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output_path,
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@ -91,7 +91,7 @@ class StableDiffusionDiffusersModel(GenericDiffusersLoader):
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model_path,
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output_path,
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model_type=self.model_base_to_model_type[base],
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original_config_file=config.config_path,
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original_config_file=self._app_config.root_path / config.config_path,
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extract_ema=True,
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from_safetensors=model_path.suffix == ".safetensors",
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precision=self._torch_dtype,
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@ -44,7 +44,7 @@ class VAELoader(GenericDiffusersLoader):
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raise Exception(f"VAE conversion not supported for model type: {config.base}")
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else:
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assert isinstance(config, CheckpointConfigBase)
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config_file = config.config_path
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config_file = self._app_config.root_path / config.config_path
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if model_path.suffix == ".safetensors":
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checkpoint = safetensors_load_file(model_path, device="cpu")
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@ -55,7 +55,7 @@ class VAELoader(GenericDiffusersLoader):
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if "state_dict" in checkpoint:
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checkpoint = checkpoint["state_dict"]
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ckpt_config = OmegaConf.load(self._app_config.root_path / config_file)
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ckpt_config = OmegaConf.load(config_file)
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assert isinstance(ckpt_config, DictConfig)
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self._logger.info(f"Converting {model_path} to diffusers format")
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vae_model = convert_ldm_vae_to_diffusers(
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