51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
# These codes are copied from modelscope revision c58451baead80d83281f063d12fb377fad415257
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import os
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from typing import Any, Dict, Optional, Union
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import torch
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from omegaconf import OmegaConf
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from paint_ldm.util import instantiate_from_config
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from modelscope.metainfo import Models
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from modelscope.models.base.base_torch_model import TorchModel
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from modelscope.models.builder import MODELS
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from modelscope.utils.constant import ModelFile, Tasks
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from modelscope.utils.logger import get_logger
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LOGGER = get_logger()
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def load_model_from_config(config, ckpt, verbose=False):
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LOGGER.info(f'Loading model from {ckpt}')
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pl_sd = torch.load(ckpt, map_location='cpu')
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if 'global_step' in pl_sd:
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LOGGER.info(f"Global Step: {pl_sd['global_step']}")
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sd = pl_sd['state_dict']
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model = instantiate_from_config(config.model)
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m, u = model.load_state_dict(sd, strict=False)
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if len(m) > 0 and verbose:
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LOGGER.info('missing keys:')
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LOGGER.info(m)
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if len(u) > 0 and verbose:
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LOGGER.info('unexpected keys:')
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LOGGER.info(u)
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return model
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@MODELS.register_module(
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Tasks.image_paintbyexample, module_name=Models.image_paintbyexample)
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class StablediffusionPaintbyexample(TorchModel):
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def __init__(self, model_dir: str, **kwargs):
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super().__init__(model_dir, **kwargs)
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config = OmegaConf.load(os.path.join(model_dir, 'v1.yaml'))
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model = load_model_from_config(
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config, os.path.join(model_dir, 'pytorch_model.pt'))
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self.model = model
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def forward(self, inputs):
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return self.model(inputs)
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