Merge pull request #15836 from AUTOMATIC1111/xyz-override-rework
XYZ override rework
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commit
cbac72d8ee
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@ -95,17 +95,6 @@ def confirm_checkpoints_or_none(p, xs):
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raise RuntimeError(f"Unknown checkpoint: {x}")
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def apply_clip_skip(p, x, xs):
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opts.data["CLIP_stop_at_last_layers"] = x
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def apply_upscale_latent_space(p, x, xs):
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if x.lower().strip() != '0':
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opts.data["use_scale_latent_for_hires_fix"] = True
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else:
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opts.data["use_scale_latent_for_hires_fix"] = False
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def apply_size(p, x: str, xs) -> None:
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try:
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width, _, height = x.partition('x')
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@ -118,21 +107,16 @@ def apply_size(p, x: str, xs) -> None:
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def find_vae(name: str):
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if name.lower() in ['auto', 'automatic']:
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return modules.sd_vae.unspecified
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if name.lower() == 'none':
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return None
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else:
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choices = [x for x in sorted(modules.sd_vae.vae_dict, key=lambda x: len(x)) if name.lower().strip() in x.lower()]
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if len(choices) == 0:
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print(f"No VAE found for {name}; using automatic")
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return modules.sd_vae.unspecified
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else:
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return modules.sd_vae.vae_dict[choices[0]]
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match name := name.lower().strip():
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case 'auto', 'automatic':
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return 'Automatic'
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case 'none':
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return 'None'
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return next((k for k in modules.sd_vae.vae_dict if k.lower() == name), print(f'No VAE found for {name}; using Automatic') or 'Automatic')
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def apply_vae(p, x, xs):
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modules.sd_vae.reload_vae_weights(shared.sd_model, vae_file=find_vae(x))
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p.override_settings['sd_vae'] = find_vae(x)
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def apply_styles(p: StableDiffusionProcessingTxt2Img, x: str, _):
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@ -140,7 +124,7 @@ def apply_styles(p: StableDiffusionProcessingTxt2Img, x: str, _):
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def apply_uni_pc_order(p, x, xs):
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opts.data["uni_pc_order"] = min(x, p.steps - 1)
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p.override_settings['uni_pc_order'] = min(x, p.steps - 1)
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def apply_face_restore(p, opt, x):
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@ -264,13 +248,13 @@ axis_options = [
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AxisOption("Schedule max sigma", float, apply_override("sigma_max")),
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AxisOption("Schedule rho", float, apply_override("rho")),
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AxisOption("Eta", float, apply_field("eta")),
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AxisOption("Clip skip", int, apply_clip_skip),
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AxisOption("Clip skip", int, apply_override('CLIP_stop_at_last_layers')),
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AxisOption("Denoising", float, apply_field("denoising_strength")),
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AxisOption("Initial noise multiplier", float, apply_field("initial_noise_multiplier")),
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AxisOption("Extra noise", float, apply_override("img2img_extra_noise")),
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AxisOptionTxt2Img("Hires upscaler", str, apply_field("hr_upscaler"), choices=lambda: [*shared.latent_upscale_modes, *[x.name for x in shared.sd_upscalers]]),
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AxisOptionImg2Img("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight")),
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AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: ['None'] + list(sd_vae.vae_dict)),
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AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: ['Automatic', 'None'] + list(sd_vae.vae_dict)),
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AxisOption("Styles", str, apply_styles, choices=lambda: list(shared.prompt_styles.styles)),
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AxisOption("UniPC Order", int, apply_uni_pc_order, cost=0.5),
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AxisOption("Face restore", str, apply_face_restore, format_value=format_value),
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@ -399,18 +383,12 @@ def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend
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class SharedSettingsStackHelper(object):
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def __enter__(self):
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self.CLIP_stop_at_last_layers = opts.CLIP_stop_at_last_layers
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self.vae = opts.sd_vae
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self.uni_pc_order = opts.uni_pc_order
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pass
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def __exit__(self, exc_type, exc_value, tb):
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opts.data["sd_vae"] = self.vae
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opts.data["uni_pc_order"] = self.uni_pc_order
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modules.sd_models.reload_model_weights()
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modules.sd_vae.reload_vae_weights()
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opts.data["CLIP_stop_at_last_layers"] = self.CLIP_stop_at_last_layers
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re_range = re.compile(r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\(([+-]\d+)\s*\))?\s*")
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re_range_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d*)?)(?:\s*\(([+-]\d+(?:.\d*)?)\s*\))?\s*")
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