Merge pull request #12476 from AnyISalIn/dev

xyz_grid: support refiner_checkpoint and refiner_switch_at
This commit is contained in:
AUTOMATIC1111 2023-08-15 08:26:38 +03:00 committed by GitHub
commit d6b79b9963
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 19 additions and 0 deletions

View File

@ -85,6 +85,23 @@ def confirm_checkpoints(p, xs):
if modules.sd_models.get_closet_checkpoint_match(x) is None: if modules.sd_models.get_closet_checkpoint_match(x) is None:
raise RuntimeError(f"Unknown checkpoint: {x}") raise RuntimeError(f"Unknown checkpoint: {x}")
def apply_refiner_checkpoint(p, x, xs):
if x == 'None':
p.override_settings['sd_refiner_checkpoint'] = 'None'
return
info = modules.sd_models.get_closet_checkpoint_match(x)
if info is None:
raise RuntimeError(f"Unknown checkpoint: {x}")
p.override_settings['sd_refiner_checkpoint'] = info.name
def confirm_refiner_checkpoints(p, xs):
for x in xs:
if x == 'None':
continue
if modules.sd_models.get_closet_checkpoint_match(x) is None:
raise RuntimeError(f"Unknown checkpoint: {x}")
def apply_clip_skip(p, x, xs): def apply_clip_skip(p, x, xs):
opts.data["CLIP_stop_at_last_layers"] = x opts.data["CLIP_stop_at_last_layers"] = x
@ -250,6 +267,8 @@ axis_options = [
AxisOption("Token merging ratio", float, apply_override('token_merging_ratio')), AxisOption("Token merging ratio", float, apply_override('token_merging_ratio')),
AxisOption("Token merging ratio high-res", float, apply_override('token_merging_ratio_hr')), AxisOption("Token merging ratio high-res", float, apply_override('token_merging_ratio_hr')),
AxisOption("Always discard next-to-last sigma", str, apply_override('always_discard_next_to_last_sigma', boolean=True), choices=boolean_choice(reverse=True)), AxisOption("Always discard next-to-last sigma", str, apply_override('always_discard_next_to_last_sigma', boolean=True), choices=boolean_choice(reverse=True)),
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)),
AxisOption("Refiner switch at", float, apply_override('sd_refiner_switch_at'))
] ]