xyz_grid: support refiner_checkpoint and refiner_switch_at
Signed-off-by: AnyISalIn <anyisalin@gmail.com>
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@ -85,6 +85,23 @@ def confirm_checkpoints(p, xs):
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if modules.sd_models.get_closet_checkpoint_match(x) is None:
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raise RuntimeError(f"Unknown checkpoint: {x}")
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def apply_refiner_checkpoint(p, x, xs):
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if x == 'None':
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p.override_settings['sd_refiner_checkpoint'] = 'None'
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return
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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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p.override_settings['sd_refiner_checkpoint'] = info.name
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def confirm_refiner_checkpoints(p, xs):
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for x in xs:
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if x == 'None':
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continue
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if modules.sd_models.get_closet_checkpoint_match(x) is None:
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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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@ -241,6 +258,8 @@ axis_options = [
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AxisOption("Token merging ratio", float, apply_override('token_merging_ratio')),
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AxisOption("Token merging ratio high-res", float, apply_override('token_merging_ratio_hr')),
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AxisOption("Always discard next-to-last sigma", str, apply_override('always_discard_next_to_last_sigma', boolean=True), choices=boolean_choice(reverse=True)),
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AxisOption("Refiner checkpoint", str, apply_refiner_checkpoint, format_value=format_remove_path, confirm=confirm_refiner_checkpoints, cost=1.0, choices=lambda: ['None'] + sorted(sd_models.checkpoints_list, key=str.casefold)),
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AxisOption("Refiner switch at", float, apply_override('sd_refiner_switch_at'))
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]
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