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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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initial support for training textual inversion
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@@ -56,7 +56,7 @@ class StableDiffusionProcessing:
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self.prompt: str = prompt
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self.prompt_for_display: str = None
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self.negative_prompt: str = (negative_prompt or "")
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self.styles: str = styles
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self.styles: list = styles or []
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self.seed: int = seed
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self.subseed: int = subseed
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self.subseed_strength: float = subseed_strength
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@@ -271,7 +271,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
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"Variation seed strength": (None if p.subseed_strength == 0 else p.subseed_strength),
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"Seed resize from": (None if p.seed_resize_from_w == 0 or p.seed_resize_from_h == 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}"),
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"Denoising strength": getattr(p, 'denoising_strength', None),
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"Eta": (None if p.sampler.eta == p.sampler.default_eta else p.sampler.eta),
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"Eta": (None if p.sampler is None or p.sampler.eta == p.sampler.default_eta else p.sampler.eta),
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}
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generation_params.update(p.extra_generation_params)
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@@ -295,8 +295,11 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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fix_seed(p)
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os.makedirs(p.outpath_samples, exist_ok=True)
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os.makedirs(p.outpath_grids, exist_ok=True)
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if p.outpath_samples is not None:
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os.makedirs(p.outpath_samples, exist_ok=True)
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if p.outpath_grids is not None:
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os.makedirs(p.outpath_grids, exist_ok=True)
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modules.sd_hijack.model_hijack.apply_circular(p.tiling)
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@@ -323,7 +326,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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return create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration, position_in_batch)
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if os.path.exists(cmd_opts.embeddings_dir):
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model_hijack.load_textual_inversion_embeddings(cmd_opts.embeddings_dir, p.sd_model)
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model_hijack.embedding_db.load_textual_inversion_embeddings()
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infotexts = []
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output_images = []
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