parse_options reads : and , as separators and = as the only assignment, so a
segment without = becomes a valueless flag set to 1. The shipped strings used
ffmpeg command line spelling, which parses without error into other values.
- crf:16 parsed to {'crf': '1', '16': '1'}, encoding every api, framepack and
seedvr video near lossless rather than at crf 16
- crf=23:b:v=0 pinned the generic bitrate option to 1 bit per second on vp8 and
vp9, collapsing their output
- qscale:v=3 reached mpeg4 and mjpeg as nothing at all, replaced by an explicit
quantizer range
- test-video-codecs.py asserts every preset segment carries an assignment
The vendored encode_prompt copies in the PAG, APG, ControlNet-XS and differential
diffusion pipelines dereference the .text_model wrapper that transformers 5.6
removed from CLIPTextModel, so their clip-skip path crashes on SD1.5 and SDXL TE1.
Apply the same getattr(te, 'text_model', te) fix as the core parser.
Mirrors upstream diffusers, which still carries this deref in pipeline
encode_prompt; only the single-file loader was fixed there.
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>
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>
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>
Vladimir Mandic
resonantsky
CalamitousFelicitousness
QualiaRain
Claude