make StableDiffusionProcessing class not hold a reference to shared.sd_model object
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@ -94,7 +94,7 @@ def txt2img_image_conditioning(sd_model, x, width, height):
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return image_conditioning
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return image_conditioning
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class StableDiffusionProcessing():
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class StableDiffusionProcessing:
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"""
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"""
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The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing
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The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing
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"""
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"""
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@ -102,7 +102,6 @@ class StableDiffusionProcessing():
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if sampler_index is not None:
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if sampler_index is not None:
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print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr)
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print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr)
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self.sd_model = sd_model
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self.outpath_samples: str = outpath_samples
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self.outpath_samples: str = outpath_samples
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self.outpath_grids: str = outpath_grids
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self.outpath_grids: str = outpath_grids
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self.prompt: str = prompt
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self.prompt: str = prompt
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@ -156,6 +155,10 @@ class StableDiffusionProcessing():
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self.all_subseeds = None
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self.all_subseeds = None
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self.iteration = 0
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self.iteration = 0
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@property
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def sd_model(self):
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return shared.sd_model
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def txt2img_image_conditioning(self, x, width=None, height=None):
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def txt2img_image_conditioning(self, x, width=None, height=None):
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self.is_using_inpainting_conditioning = self.sd_model.model.conditioning_key in {'hybrid', 'concat'}
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self.is_using_inpainting_conditioning = self.sd_model.model.conditioning_key in {'hybrid', 'concat'}
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@ -236,7 +239,6 @@ class StableDiffusionProcessing():
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raise NotImplementedError()
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raise NotImplementedError()
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def close(self):
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def close(self):
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self.sd_model = None
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self.sampler = None
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self.sampler = None
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@ -471,7 +473,6 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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if k == 'sd_model_checkpoint':
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if k == 'sd_model_checkpoint':
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sd_models.reload_model_weights() # make onchange call for changing SD model
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sd_models.reload_model_weights() # make onchange call for changing SD model
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p.sd_model = shared.sd_model
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if k == 'sd_vae':
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if k == 'sd_vae':
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sd_vae.reload_vae_weights() # make onchange call for changing VAE
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sd_vae.reload_vae_weights() # make onchange call for changing VAE
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@ -86,7 +86,6 @@ def apply_checkpoint(p, x, xs):
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if info is None:
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if info is None:
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raise RuntimeError(f"Unknown checkpoint: {x}")
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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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modules.sd_models.reload_model_weights(shared.sd_model, info)
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p.sd_model = shared.sd_model
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def confirm_checkpoints(p, xs):
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def confirm_checkpoints(p, xs):
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