DPMSolverMultistepScheduler implements 3rd-order sde-dpmsolver++, but the preset grid stopped at order 2 on the SDE row. Add the order-3 variant next to DPM++ SDE and DPM++ 2M SDE to complete it.
Reorder samplers_data_diffusers into recognizable solver-family groups (Euler, DPM/DPM++, UniPC/DEIS, Heun/KDPM2, ER-SDE, Classic, Distilled, Misc), each ending with its FlowMatch variants, and Res4Lyf as a fenced experimental section, so the dropdown is scannable.
Dividers are SamplerData sentinels with U+2500 names: create_sampler keeps the current scheduler when one is selected, get_sampler_name falls back to Default, set_samplers and validate_sampler_name exclude them, and a visible_samplers() helper drops them from the xyz axes, detailer, and folder pickers. The main and refine dropdowns render them as section labels. No sampler is removed or renamed, so saved infotexts, styles, and API calls keep resolving.
Seven 'list = None' / 'list[...] = None' parameters lacked the | None
annotation required by PEP 484; ruff RUF013 flagged them in CI.
Co-Authored-By: Claude <noreply@anthropic.com>
Same except-path as the previous commit: jobid is begun before the
try block but never ended on the error return, mirroring the
xyz_grid.py fix.
Co-Authored-By: Claude <noreply@anthropic.com>
Both options inspected pp.image (the original input, normally RGB)
instead of the background-removed RGBA result, so the checkboxes did
nothing. merge_alpha also discarded the convert('RGB') return value.
Operate on the rembg output and keep the converted image.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
hasattr() on the task_args dict checked for an attribute instead of a
key, so it was always False and images passed via task_args were
ignored. Use dict.get instead.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
The invalid-upscaler warning referenced selected_upscaler, which is only
assigned when a matching upscaler was found, so an unknown name (stale
infotext, removed upscaler) crashed the resize instead of falling back
to plain resampling.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
A stale or renamed upscaler name fell through after the debug log and
dereferenced None in upscale(), raising AttributeError. Return early
like the standard upscale class does.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
ScriptSummary.record reset the reference timestamp immediately before
measuring against it, so every recorded duration was ~0 and report()
never logged script timings. Measure against the previous timestamp,
then advance it.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
errors.display received the literal string 'e' instead of the caught
exception, losing the traceback on adapter load failures. The restore
debug log also nulled loaded_adapter before printing it, so it always
showed adapter=None.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
PIL Image.resize returns a new image; the result was discarded, so the
final output stayed at the snapped aspect-ratio bucket size instead of
being restored to the original input size.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
Enabling FreeU called len() on the checkbox bool instead of the parsed
preset list, raising TypeError and aborting the run. Even without the
crash, all four FreeU parameters were passed the same value. Use the
parsed freeu_preset values, and log the invalid input before clearing it.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
When negative_prompt arrived as a list, the unwrap assigned it to
p.prompt instead of p.negative_prompt, replacing the user's prompt with
the negative prompt text and passing an unsupported list to the
pipeline.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
The framework passes the script's ui values positionally, but after()
only accepted keyword args, so every run raised TypeError after
processing and the original pipeline was never restored. Accept *args
like sibling scripts.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
The unsupported-model warning fell through and switched non-SDXL models
into PixelSmithXLPipeline with an SDXL VAE, corrupting the pipeline.
Return early like every sibling script does after this check.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
draw_xyz_grid inserts one sub-grid per Z value whenever the main grid
or sub-grids are enabled, but have_subgrids only counted them when
'Include sub grids' was checked. With main grid on and sub grids off,
the Z sub-grids leaked into the results as ordinary images (shown in
the gallery, fed into video creation, misaligning infotexts) and the
removal branch was unreachable since its condition contradicted itself.
Count sub-grids based on the same condition that inserts them.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
The always-on variant returned from its parse-error handler without
resetting the module-level active flag, silently disabling the XYZ grid
for every later generation until restart. The selectable variant
likewise returned without ending the job state it had begun.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
Operator precedence made 8 * w * x // 8 cancel out, so fractional scale
factors produced resolutions not divisible by 8 and broke the SDXL
latent shape requirements. Apply the same idiom as pixelsmith_ext.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
The sub-1024 early return happened after init_images was nulled,
task_args were injected and the sampler overridden, so the fallback to
normal processing ran with a broken img2img setup. Check the resolution
before mutating the processing object.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
Infotext parsing produces 'Negative prompt' and 'Variation seed', but
the save-image PObject looked up 'Negative_prompt' and 'Subseed', so
images saved from restored metadata always lost their negative prompt
and variation seed. Use the keys the parser actually emits, matching
the sibling lookups like 'CFG scale'.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
The guard repeated 'conjunction.prompts is None' twice; the second copy
was meant to check for an empty list, so an empty (non-None) prompts
list raised IndexError inside the guard instead of returning the empty
fallback.
https: //claude.ai/code/session_014QWKWgKvMevcuvfCnsYoT2
Co-Authored-By: Claude <noreply@anthropic.com>
Same inversion as the slerp() near-parallel shortcut: at val=0 the
expression returned hi instead of lo, opposite to both the
near-orthogonal shortcut and the general slerp path in the same
function.
Co-Authored-By: Claude <noreply@anthropic.com>
Vladimir Mandic
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