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feat(ui): filter generated sampler and upscaler lists

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This commit is contained in:
Yifan Chen
2026-09-07 08:29:37 -07:00
parent fe03d7b38e
commit a174e94183
14 changed files with 178 additions and 16 deletions
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modules/processing_helpers.py
+4 -2
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@@ -159,9 +159,11 @@ def images_tensor_to_samples(image, approximation=None, model=None): # pylint: d
return x_latent
def get_sampler_name(sampler_index: int | None = None, img: bool = False) -> str:
def get_sampler_name(sampler_index: int | str | None = None, img: bool = False) -> str:
sampler_index = sampler_index or 0
if len(sd_samplers.samplers) > sampler_index:
if isinstance(sampler_index, str) and any(sampler.name == sampler_index for sampler in sd_samplers.samplers):
sampler_name = sampler_index
elif isinstance(sampler_index, int) and 0 <= sampler_index < len(sd_samplers.samplers):
sampler_name = sd_samplers.samplers[sampler_index].name
else:
sampler_name = "Default"