mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Merge branch 'release_candidate' into dev
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commit
74d249f6dd
@ -498,6 +498,11 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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stored_opts = {k: opts.data[k] for k in p.override_settings.keys()}
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try:
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# if no checkpoint override or the override checkpoint can't be found, remove override entry and load opts checkpoint
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if sd_models.checkpoint_alisases.get(p.override_settings.get('sd_model_checkpoint')) is None:
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p.override_settings.pop('sd_model_checkpoint', None)
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sd_models.reload_model_weights()
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for k, v in p.override_settings.items():
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setattr(opts, k, v)
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@ -514,8 +519,6 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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if p.override_settings_restore_afterwards:
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for k, v in stored_opts.items():
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setattr(opts, k, v)
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if k == 'sd_model_checkpoint':
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sd_models.reload_model_weights()
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if k == 'sd_vae':
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sd_vae.reload_vae_weights()
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@ -86,7 +86,7 @@ def apply_checkpoint(p, x, xs):
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info = modules.sd_models.get_closet_checkpoint_match(x)
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if info is None:
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raise RuntimeError(f"Unknown checkpoint: {x}")
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modules.sd_models.reload_model_weights(shared.sd_model, info)
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p.override_settings['sd_model_checkpoint'] = info.hash
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def confirm_checkpoints(p, xs):
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