docs(i18n): bold keys in bullet-list hints

html/locale_en.json

@@ -163,7 +163,7 @@
     {"id":"","label":"BitsAndBytes","localized":"","hint":"","ui":"settings_quantization"},
     {"id":"","label":"Batch count","localized":"","hint":"How many batches of images to create (has no impact on generation performance or VRAM usage)","ui":"txt2img"},
     {"id":"","label":"Batch size","localized":"","hint":"How many image to create in a single batch (increases generation performance at cost of higher VRAM usage)","ui":"txt2img"},
-    {"id":"","label":"Beta schedule","localized":"","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","ui":"txt2img"},
+    {"id":"","label":"Beta schedule","localized":"","hint":"Defines how beta (noise strength per step) grows. Options:<br>- <b>default</b>: the model default<br>- <b>linear</b>: evenly decays noise per step<br>- <b>scaled</b>: squared version of linear, used only by Stable Diffusion<br>- <b>cosine</b>: smoother decay, often better results with fewer steps<br>- <b>sigmoid</b>: sharp transition, experimental","ui":"txt2img"},
     {"id":"","label":"Base shift","localized":"","hint":"Minimum shift value for low resolutions when using dynamic shifting.","ui":"txt2img"},
     {"id":"","label":"Brightness","localized":"","hint":"Adjusts overall image brightness.<br>Positive values lighten the image, negative values darken it.<br><br>Applied uniformly across all pixels in linear space.","ui":"txt2img"},
     {"id":"","label":"Block","localized":"","hint":"","ui":"script_kohya_hires_fix"},
@@ -376,7 +376,7 @@
     {"id":"","label":"Denoising batch size","localized":"","hint":"","ui":"script_demofusion"},
     {"id":"","label":"Dilate tau","localized":"","hint":"","ui":"script_freescale"},
     {"id":"","label":"Draw legend","localized":"","hint":"","ui":"script_xyz_grid_script"},
-    {"id":"","label":"Denoising strength","localized":"","hint":"Strength of img2img modification when an init image is supplied.<br>Higher values move further from the init image and rely more on the prompt; lower values stay closer to the original.<br><br>At <b>0.0</b> the init image passes through unchanged.<br>At <b>1.0</b> the model builds a fresh image from scratch and effectively ignores the init image.<br><br>Effect on step count is model-dependent:<br><b>SD 1.5</b> and <b>SDXL</b>: the configured Steps value is honored as the actual loop count; strength only controls how much noise is added to the init latent.<br><b>Flux</b>, <b>SD3</b>, <b>Hunyuan</b>, <b>Sana</b>, <b>Qwen</b> and other DiT models: loop count is reduced proportionally; with strength 0.5 and 30 steps, only ~15 actually run.<br><br>In the Control tab this only takes effect when <b>Use init image</b> is set to one of the init modes; with Control only it is ignored.<br>Default 0.30.","ui":"img2img"},
+    {"id":"","label":"Denoising strength","localized":"","hint":"Strength of img2img modification when an init image is supplied.<br>Higher values move further from the init image and rely more on the prompt; lower values stay closer to the original.<br><br>At <b>0.0</b> the init image passes through unchanged.<br>At <b>1.0</b> the model builds a fresh image from scratch and effectively ignores the init image.<br><br>Effect on step count is model-dependent:<br>- <b>SD 1.5 and SDXL</b>: the configured Steps value is honored as the actual loop count; strength only controls how much noise is added to the init latent.<br>- <b>Flux, SD3, Hunyuan, Sana, Qwen and other DiT models</b>: loop count is reduced proportionally; with strength 0.5 and 30 steps, only ~15 actually run.<br><br>In the Control tab this only takes effect when <b>Use init image</b> is set to one of the init modes; with Control only it is ignored.<br>Default 0.30.","ui":"img2img"},
     {"id":"","label":"Denoise start","localized":"","hint":"Override denoise strength by stating how early base model should finish and when refiner should start. Only applicable to refiner usage. If set to 0 or 1, denoising strength will be used","ui":"img2img"},
     {"id":"","label":"down","localized":"","hint":"","ui":"script_outpainting"},
     {"id":"","label":"Decode chunks","localized":"","hint":"","ui":"script_video"},
@@ -490,7 +490,7 @@
     {"id":"","label":"Faster Cache","localized":"","hint":"","ui":"settings_advanced"},
     {"id":"","label":"Folders","localized":"","hint":"","ui":"settings_saving-paths"},
     {"id":"","label":"Fetch model preview metadata","localized":"","hint":"","ui":"models_metadata_tab"},
-    {"id":"","label":"Flow shift","localized":"","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.","ui":"txt2img"},
+    {"id":"","label":"Flow shift","localized":"","hint":"Shift value for flowmatching models. Controls the distribution of denoising steps.<br><br>Values:<br>- <b>>1.0</b>: allocate more steps to early denoising (better structure)<br>- <b><1.0</b>: allocate more steps to late denoising (better fine details)<br>- <b>1.0</b>: balanced schedule<br><br>Most flowmatching models use the value of 3 as default. Effectively inactive if dynamic shift is enabled.","ui":"txt2img"},
     {"id":"","label":"FDG scales","localized":"","hint":"","ui":"txt2img"},
     {"id":"","label":"FDG weights","localized":"","hint":"","ui":"txt2img"},
     {"id":"","label":"FDG rescale space","localized":"","hint":"","ui":"txt2img"},
@@ -1079,7 +1079,7 @@
     {"id":"","label":"PAB: Pyramid attention broadcast","localized":"","hint":"","ui":"settings_advanced"},
     {"id":"","label":"Para-attention","localized":"","hint":"","ui":"settings_advanced"},
     {"id":"","label":"Paths for specific models","localized":"","hint":"","ui":"settings_system-paths"},
-    {"id":"","label":"Prediction method","localized":"","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","ui":"txt2img"},
+    {"id":"","label":"Prediction method","localized":"","hint":"Defines what the model predicts at each step. Options:<br>- <b>default</b>: the model default<br>- <b>epsilon</b>: noise (most common for Stable Diffusion)<br>- <b>sample</b>: direct denoised image prediction, also called as x0 prediction<br>- <b>v_prediction</b>: velocity prediction, used by CosXL and NoobAI VPred models<br>- <b>flow_prediction</b>: used with newer flow-matching models like SD3 and Flux","ui":"txt2img"},
     {"id":"","label":"PAG scale","localized":"","hint":"","ui":"txt2img"},
     {"id":"","label":"PAG start","localized":"","hint":"","ui":"txt2img"},
     {"id":"","label":"PAG stop","localized":"","hint":"","ui":"txt2img"},
@@ -1196,7 +1196,7 @@
     {"id":"","label":"Resize seed from width","localized":"","hint":"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution","ui":"txt2img"},
     {"id":"","label":"Resize seed from height","localized":"","hint":"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution","ui":"txt2img"},
     {"id":"","label":"Refine guidance","localized":"","hint":"Guidance scale used for the secondary pass (refiner model or HiRes refine). Behaves like the main Guidance scale but applies only to that secondary pass.<br>For OmniGen this slider controls a separate image-conditioning guidance scale instead, used alongside the main Guidance scale in OmniGen's dual-CFG formula.<br><br>Set to 0 to disable guidance for the secondary pass.<br>Defaults to 6.0.","ui":"txt2img"},
-    {"id":"","label":"Resize mode","localized":"","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","ui":"txt2img"},
+    {"id":"","label":"Resize mode","localized":"","hint":"Defines how the input is resized or adapted in second-pass refinement:<br>- <b>none</b>: no resizing, keep original resolution<br>- <b>fixed</b>: force resize to target resolution (may distort)<br>- <b>crop</b>: center-crop to fit target while keeping aspect ratio<br>- <b>fill</b>: resize to fit and pad empty space with borders<br>- <b>outpaint</b>: extend canvas beyond image borders<br>- <b>context aware</b>: smart resize that blends or adapts surrounding areas","ui":"txt2img"},
     {"id":"","label":"Resize method","localized":"","hint":"Method used to resize the image: can be simple resize, upscaling model, latent resize or asymmetric decode","ui":"txt2img"},
     {"id":"","label":"Resize width","localized":"","hint":"Resizes image to this width. If 0, width is inferred from either of two nearby sliders","ui":"txt2img"},
     {"id":"","label":"Resize height","localized":"","hint":"Resizes image to this height. If 0, height is inferred from either of two nearby sliders","ui":"txt2img"},
@@ -1455,7 +1455,7 @@
     {"id":"","label":"Theme options","localized":"","hint":"","ui":"settings_ui"},
     {"id":"","label":"Task History","localized":"","hint":""},
     {"id":"","label":"Tone","localized":"","hint":"","ui":"txt2img"},
-    {"id":"","label":"Timestep spacing","localized":"","hint":"Determines how timesteps are spaced across the diffusion process. Options:<br>- default: the model default<br>- leading: creates evenly spaced steps<br>- linspace: includes the first and last steps and evenly selects the remaining intermediate steps<br>- trailing: only includes the last step and evenly selects the remaining intermediate steps starting from the end","ui":"txt2img"},
+    {"id":"","label":"Timestep spacing","localized":"","hint":"Determines how timesteps are spaced across the diffusion process. Options:<br>- <b>default</b>: the model default<br>- <b>leading</b>: creates evenly spaced steps<br>- <b>linspace</b>: includes the first and last steps and evenly selects the remaining intermediate steps<br>- <b>trailing</b>: only includes the last step and evenly selects the remaining intermediate steps starting from the end","ui":"txt2img"},
     {"id":"","label":"Timesteps presets","localized":"","hint":"Picks a hand-tuned timestep schedule and writes it into Timesteps override.<br>'AYS SD15' and 'AYS SDXL' load the Align Your Steps schedules optimized for those base models, both 10 steps long. Selecting one of these effectively forces the generation to run at exactly 10 steps regardless of the main Steps slider, which is intended: AYS produces results comparable to 30+ step traditional sampling at this length.<br><br>Use the SD15 preset for SD 1.x checkpoints and the SDXL preset for SDXL-based checkpoints. The AYS schedules are not appropriate for flow-matching models (Flux, SD3) or other architectures.<br><br>Set to None to clear the override.<br>No preset by default.","ui":"txt2img"},
     {"id":"","label":"Timesteps override","localized":"","hint":"Comma- or space-separated list of integer timesteps in the 0-999 range, listed from highest (most noisy) to lowest (cleanest). When set, this list completely replaces the scheduler's normal timestep schedule and forces the step count to match the list length, ignoring the main Steps slider.<br><br>Requires at least 3 values to take effect; shorter inputs are silently ignored. Not all samplers support arbitrary timestep injection. If the active sampler doesn't, a warning is logged and the override is skipped. Selecting a preset from Timesteps presets fills this field automatically.<br><br>Useful for advanced users experimenting with custom schedules. Most users should leave this blank.<br><br>Clear the field to disable.<br>Empty by default.","ui":"txt2img"},
     {"id":"","label":"thresholding","localized":"","hint":"Enables dynamic thresholding. At each step the predicted clean image is clipped so its values stay within the model's trained range, which suppresses saturation and washed-out colors at high guidance.<br><br>Most useful for SD 1.x and SD 2.x at high CFG (>10). Generally not helpful for SDXL or flow-matching models, which already handle high CFG gracefully.<br><br>Applies to DPM++ family, UniPC, DDIM, DEIS, SA Solver, and DC Solver. Recommended to leave off unless you see saturation artifacts.<br><br>Disabled by default.","ui":"txt2img"},