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update localization for icons and hints in locale_en.json

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CalamitousFelicitousness
2025-10-19 22:46:06 +01:00
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html/locale_en.json
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@@ -202,8 +202,8 @@
{"id":"","label":"beta schedule","localized":"","reload":"","hint":"Defines how beta (noise strength per step) grows. Options:<br>- default: the model default<br>- linear: evenly decays noise per step<br>- scaled: squared version of linear, used only by Stable Diffusion<br>- cosine: smoother decay, often better results with fewer steps<br>- sigmoid: sharp transition, experimental"},
{"id":"","label":"prediction method","localized":"","reload":"","hint":"Defines what the model predicts at each step. Options:<br>- default: the model default<br>- epsilon: noise (most common for Stable Diffusion)<br>- sample: direct denoised image prediction, also called as x0 prediction<br>- v_prediction: velocity prediction, used by CosXL and NoobAI VPred models<br>- 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.<br><br>Values:<br>- >1.0: allocate more steps to early denoising (better structure)<br>-<1.0: allocate more steps to late denoising (better fine details)<br>- 1.0: balanced schedule<br><br>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.<br><br>The scheduler interpolates between base_shift andmax_shift based on actual image resolution.<br><br>Enabling disables static Flow shift."},
{"id":"","label":"flow shift","localized":"","reload":"","hint":"Shift value for flowmatching models. Controls the distribution of denoising steps.<br><br>Values:<br>- >1.0: allocate more steps to early denoising (better structure)<br>-<1.0: allocate more steps to late denoising (better fine details)<br>- 1.0: balanced schedule<br><br>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.<br><br>The scheduler interpolates between base_shift and max_shift based on actual image resolution.<br><br>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:<br>- none: no resizing, keep original resolution<br>- fixed: force resize to target resolution (may distort)<br>- crop: center-crop to fit target while keeping aspect ratio<br>- fill: resize to fit and pad empty space with borders<br>- outpaint: extend canvas beyond image borders<br>- context aware: smart resize that blends or adapts surrounding areas"}