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https://github.com/vladmandic/automatic
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@@ -7,9 +7,9 @@
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- https://github.com/huggingface/diffusers/pull/8566
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- https://github.com/huggingface/diffusers/pull/8584
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## Update for 2024-06-18
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## Update for 2024-06-19
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### Highlights for 2024-06-18
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### Highlights for 2024-06-19
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Following zero-day **SD3** release, a week later here's a refresh with more than a few improvements.
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But there's more than SD3:
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@@ -65,6 +65,7 @@ But there's more than SD3:
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- fix sdxl "has been incorrectly initialized"
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- fix api face-hires
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- fix api ip-adapter
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- cleanup image metadata
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- restructure api examples: `cli/api-*`
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- handle theme fallback when invalid theme is specified
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- remove obsolete training code leftovers
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@@ -105,7 +105,6 @@ def process_diffusers(p: processing.StableDiffusionProcessing):
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desc='Base',
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)
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shared.state.sampling_steps = base_args.get('prior_num_inference_steps', None) or base_args.get('num_inference_steps', None) or p.steps
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p.extra_generation_params['Pipeline'] = shared.sd_model.__class__.__name__
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if shared.opts.scheduler_eta is not None and shared.opts.scheduler_eta > 0 and shared.opts.scheduler_eta < 1:
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p.extra_generation_params["Sampler Eta"] = shared.opts.scheduler_eta
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output = None
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@@ -63,6 +63,10 @@ def create_infotext(p: StableDiffusionProcessing, all_prompts=None, all_seeds=No
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"Comment": comment,
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"Operations": '; '.join(ops).replace('"', '') if len(p.ops) > 0 else 'none',
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}
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# native
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if shared.native:
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args['Pipeline'] = shared.sd_model.__class__.__name__
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args['T5'] = None if (not shared.opts.add_model_name_to_info or shared.opts.sd_text_encoder is None or shared.opts.sd_text_encoder == 'None') else shared.opts.sd_text_encoder
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if 'txt2img' in p.ops:
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args["Variation seed"] = all_subseeds[index] if p.subseed_strength > 0 else None
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args["Variation strength"] = p.subseed_strength if p.subseed_strength > 0 else None
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@@ -143,12 +147,20 @@ def create_infotext(p: StableDiffusionProcessing, all_prompts=None, all_seeds=No
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args['Sampler sigma uncond'] = shared.opts.s_churn if shared.opts.s_churn != shared.opts.data_labels.get('s_churn').default else None
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args['Sampler sigma noise'] = shared.opts.s_noise if shared.opts.s_noise != shared.opts.data_labels.get('s_noise').default else None
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args['Sampler sigma tmin'] = shared.opts.s_tmin if shared.opts.s_tmin != shared.opts.data_labels.get('s_tmin').default else None
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# tome
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args['ToMe'] = shared.opts.tome_ratio if shared.opts.tome_ratio != 0 else None
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args['ToDo'] = shared.opts.todo_ratio if shared.opts.todo_ratio != 0 else None
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# tome/todo
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if shared.opts.token_merging_method == 'ToMe':
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args['ToMe'] = shared.opts.tome_ratio if shared.opts.tome_ratio != 0 else None
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else:
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args['ToDo'] = shared.opts.todo_ratio if shared.opts.todo_ratio != 0 else None
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args.update(p.extra_generation_params)
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params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in args.items() if v is not None])
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for k, v in args.copy().items():
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if v is None:
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del args[k]
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if isinstance(v, str):
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if len(v) == 0 or v == '0x0':
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del args[k]
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params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in args.items()])
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negative_prompt_text = f"\nNegative prompt: {all_negative_prompts[index]}" if all_negative_prompts[index] else ""
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infotext = f"{all_prompts[index]}{negative_prompt_text}\n{params_text}".strip()
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return infotext
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