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>
tile_width/tile_height and tile_col_overlap/tile_row_overlap were cross-assigned from p.height/p.width, transposing output geometry for every non-square tile size. Fixes#4902.
padding loops used insert(0) which shifts existing prompt/seed entries
to higher indices, so subsequent index lookups - including the caller's
own p.prompts[i]/p.seeds[i] reads on the same aliased lists - return
values belonging to a different image; append preserves existing
index-to-entry mapping and pads missing slots at the end
https://claude.ai/code/session_01UZT4ypkGQH5fzJ89dXPFYp
Drives txt2img/img2img with the full per-sampler scheduler-option matrix
(sigma method, prediction type, timestep spacing, beta schedule, solver
order, shift, low order, thresholding, dynamic shift, rescale betas), one
option at a time over a pinned baseline, and measures every case against
the default: applied, inert, marginal, rejected, or fallback. Detects
silent fallback via the infotext Scheduler class and annotates every saved
image with its full requested configuration. --sweep runs a reduced matrix
per sampler and emits an empirical capability report.
Sampler capability gates raised plain ValueError when schedulers_fallback is
disabled, so the API middleware and the gradio call wrapper printed a full
backtrace for an expected outcome. Add errors.ValidationError, raise it from
the gates, and report it message-only in errors.display; the UI error box and
the API error response already carry the message.
The ER-SDE FlowMatch presets carried only use_flow_sigmas, so the sigma
method selector could not drive karras/beta/exponential for the FlowMatch
variants. Add use_karras_sigmas/use_exponential_sigmas/use_beta_sigmas to
match the plain ER-SDE presets and the Euler/UniPC/Flash FlowMatch presets,
which use the same boolean-flag mechanism.
create_sampler restored the model default scheduler on a prediction-type
mismatch, on an unknown sampler config, and on any scheduler-constructor
exception regardless of schedulers_fallback; only SD_SAMPLER_DEBUG could turn
the prediction mismatch into an error. Raise like the other capability gates
when the fallback setting is disabled.
An unresolved sampler name substituted UniPC before any of those gates could
run; pass the requested name through instead, so it falls back to the model
default (or raises when fallback is disabled) and the infotext records
Default rather than the unresolved name. find_sampler now also resolves an
unspecified sampler to Default instead of UniPC, matching the platform
default used everywhere else.
In flow mode ER-SDE only ran karras/beta/exponential on the VP path and
silently dropped them, unlike FlowMatchEuler and DPM FlowMatch which
redistribute the shifted flow sigmas. Apply the same transform to the
flow sigmas in _setup_flow so the sigma method works in flow mode and
the ER-SDE FlowMatch variants gain karras/beta/exponential. Default flow
schedule is unchanged.
The sigma-method override silently fell back to the sampler's default
schedule when the selected method has no matching config key. Now warns and
uses the default schedule with schedulers_fallback enabled, or raises like
the other capability gates when it is disabled.
ERSDEScheduler now accepts use_karras_sigmas, use_exponential_sigmas,
use_beta_sigmas, and use_flow_sigmas, matching the other flow schedulers.
The VP path derives alpha/sigma/lambda from the k-diffusion sigma so the
karras/beta/exponential transforms can use fractional timesteps; the
default schedule is numerically unchanged. use_flow_sigmas triggers flow
mode and add_noise tolerates fractional timesteps.
Wire the new keys into the ER-SDE presets so the sigma method selector
drives them, and cover ER-SDE in the scheduler stability test.