From 64e6219551ef7dc010b04ea3873dd87edbd726c0 Mon Sep 17 00:00:00 2001 From: CalamitousFelicitousness Date: Sun, 19 Oct 2025 22:46:06 +0100 Subject: [PATCH] update localization for icons and hints in locale_en.json --- html/locale_en.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/html/locale_en.json b/html/locale_en.json index 4ef6c8a7d..5b8b75e5b 100644 --- a/html/locale_en.json +++ b/html/locale_en.json @@ -202,8 +202,8 @@ {"id":"","label":"beta schedule","localized":"","reload":"","hint":"Defines how beta (noise strength per step) grows. Options:
- default: the model default
- linear: evenly decays noise per step
- scaled: squared version of linear, used only by Stable Diffusion
- cosine: smoother decay, often better results with fewer steps
- sigmoid: sharp transition, experimental"}, {"id":"","label":"prediction method","localized":"","reload":"","hint":"Defines what the model predicts at each step. Options:
- default: the model default
- epsilon: noise (most common for Stable Diffusion)
- sample: direct denoised image prediction, also called as x0 prediction
- v_prediction: velocity prediction, used by CosXL and NoobAI VPred models
- flow_prediction: used with newer flow-matching models like SD3 and Flux"}, {"id":"","label":"sampler order","localized":"","reload":"","hint":"Order of solver updates in the sampler. Higher order improves stability/accuracy but increases compute cost."}, - {"id":"","label":"flow shift","localized":"","reload":"","hint":"Shift value for flowmatching models. Controls thedistribution of denoising steps.

Values:
- >1.0: allocate more steps to early denoising (better structure)
-<1.0: allocate more steps to late denoising (better fine details)
- 1.0: balanced schedule

Most flowmatching models use the value of 3 as default. Effectively inactive if dynamic shift is enabled."}, - {"id":"","label":"dynamic","localized":"","reload":"","hint":"Dynamic shifting automatically adjuststhe denoising schedule based on your image resolution.

The scheduler interpolates between base_shift andmax_shift based on actual image resolution.

Enabling disables static Flow shift."}, + {"id":"","label":"flow shift","localized":"","reload":"","hint":"Shift value for flowmatching models. Controls the distribution of denoising steps.

Values:
- >1.0: allocate more steps to early denoising (better structure)
-<1.0: allocate more steps to late denoising (better fine details)
- 1.0: balanced schedule

Most flowmatching models use the value of 3 as default. Effectively inactive if dynamic shift is enabled."}, + {"id":"","label":"dynamic","localized":"","reload":"","hint":"Dynamic shifting automatically adjusts the denoising schedule based on your image resolution.

The scheduler interpolates between base_shift and max_shift based on actual image resolution.

Enabling disables static Flow shift."}, {"id":"","label":"base shift","localized":"","reload":"","hint":"Minimum shift value for low resolutions when using dynamic shifting."}, {"id":"","label":"max shift","localized":"","reload":"","hint":"Maximum shift value for high resolutions when using dynamic shifting."}, {"id":"","label":"resize mode","localized":"","reload":"","hint":"Defines how the input is resized or adapted in second-pass refinement:
- none: no resizing, keep original resolution
- fixed: force resize to target resolution (may distort)
- crop: center-crop to fit target while keeping aspect ratio
- fill: resize to fit and pad empty space with borders
- outpaint: extend canvas beyond image borders
- context aware: smart resize that blends or adapts surrounding areas"}