unconditionally set use_ema=False if value not specified (True never worked, and all configs except v1-inpainting-inference.yaml already correctly set it to False)
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@ -293,7 +293,6 @@ def load_model(checkpoint_info=None):
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if should_hijack_inpainting(checkpoint_info):
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# Hardcoded config for now...
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sd_config.model.target = "ldm.models.diffusion.ddpm.LatentInpaintDiffusion"
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sd_config.model.params.use_ema = False
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sd_config.model.params.conditioning_key = "hybrid"
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sd_config.model.params.unet_config.params.in_channels = 9
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sd_config.model.params.finetune_keys = None
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@ -301,6 +300,9 @@ def load_model(checkpoint_info=None):
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# Create a "fake" config with a different name so that we know to unload it when switching models.
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checkpoint_info = checkpoint_info._replace(config=checkpoint_info.config.replace(".yaml", "-inpainting.yaml"))
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if not hasattr(sd_config.model.params, "use_ema"):
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sd_config.model.params.use_ema = False
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do_inpainting_hijack()
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if shared.cmd_opts.no_half:
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