feat(xyz): lora block weight axis

String axis rewriting every lora tag in the prompt: an existing lbw=
argument is replaced, None removes it for a clean baseline cell. Choices
list the preset names; raw vectors go through csv mode with escaped
commas. Long values truncate in the grid legend.

scripts/xyz/xyz_grid_classes.py

@@ -19,6 +19,9 @@ from scripts.xyz.xyz_grid_shared import ( # pylint: disable=no-name-in-module, u
     list_lora,
     apply_lora,
     apply_lora_strength,
+    list_lora_blocks,
+    apply_lora_blocks,
+    format_value_trim,
     apply_te,
     apply_guidance,
     apply_styles,
@@ -217,6 +220,7 @@ axis_options = [
     AxisOption("[Prompt] Prompt parser", str, apply_setting("prompt_attention"), choices=lambda: ["native", "compel", "xhinker", "a1111", "fixed"]),
     AxisOption("[Network] LoRA", str, apply_lora, cost=0.5, choices=list_lora),
     AxisOption("[Network] LoRA strength", float, apply_lora_strength, cost=0.6),
+    AxisOption("[Network] LoRA block weight", str, apply_lora_blocks, cost=0.6, fmt=format_value_trim, choices=list_lora_blocks),
     AxisOption("[Network] LoRA stack mode", str, apply_setting("lora_stack_mode"), cost=0.6, choices=lambda: ["sum", "ties", "dare_ties", "dare_linear", "magnitude_prune", "klora", "estlora"]),
     AxisOption("[Network] LoRA stack density", float, apply_setting("lora_stack_density"), cost=0.6),
     AxisOption("[Network] LoRA stack ramp", float, apply_setting("lora_stack_alpha"), cost=0.6),

scripts/xyz/xyz_grid_shared.py

@@ -260,6 +260,31 @@ def apply_lora_strength(p, x, xs):
     shared.opts.data['extra_networks_default_multiplier'] = x
 
 
+def list_lora_blocks():
+    from modules.lora import lora_blocks
+    from modules.merging.merge_presets import BLOCK_WEIGHTS_PRESETS, SDXL_BLOCK_WEIGHTS_PRESETS
+    return ['None'] + list(lora_blocks.CLASSIC) + list(lora_blocks.CHAIN_NAMES) + sorted(BLOCK_WEIGHTS_PRESETS) + sorted(SDXL_BLOCK_WEIGHTS_PRESETS)
+
+
+re_lora_tag = re.compile(r'<lora:([^>]+)>')
+
+
+def apply_lora_blocks(p, x, xs):
+    x = str(x or '').strip()
+    if ':' in x or '>' in x:
+        log.error(f'XYZ grid apply LoRA block weight: value="{x}" invalid characters')
+        return
+    def rewrite(m):
+        items = [i for i in m.group(1).split(':') if not i.lower().startswith('lbw=')]
+        if x and x.lower() != 'none':
+            items.append(f'lbw={x}')
+        return '<lora:' + ':'.join(items) + '>'
+    p.prompt = re_lora_tag.sub(rewrite, p.prompt)
+    p.all_prompts = None # a populated list would shadow the edited prompt in processing
+    p.all_negative_prompts = None
+    log.debug(f'XYZ grid apply LoRA block weight: "{x}"')
+
+
 def apply_te(p, x, xs):
     shared.opts.data["sd_text_encoder"] = x
     sd_models.reload_text_encoder()
@@ -383,6 +408,13 @@ def format_value_join_list(p, opt, x):
     return ", ".join(x)
 
 
+def format_value_trim(p, opt, x):
+    x = str(x)
+    if len(x) > 40:
+        x = x[:37] + '...' # block-weight vectors would flood the grid legend
+    return f"{opt.label}: {x}"
+
+
 def do_nothing(p, x, xs):
     pass