add mod regional tiling

Signed-off-by: Vladimir Mandic <mandic00@live.com>

modules/extra_networks.py

@@ -162,7 +162,10 @@ def parse_prompt(prompt):
         args = m.group(2)
         res[name].append(ExtraNetworkParams(items=args.split(":")))
         return ""
-    prompt = re.sub(re_extra_net, found, prompt)
+    if isinstance(prompt, list):
+        prompt = [re.sub(re_extra_net, found, p) for p in prompt]
+    else:
+        prompt = re.sub(re_extra_net, found, prompt)
     return prompt, res
 
 

modules/processing.py

@@ -260,9 +260,10 @@ def process_init(p: StableDiffusionProcessing):
         else:
             p.all_subseeds = [int(subseed) + x for x in range(len(p.all_prompts))]
     if reset_prompts:
-        p.all_prompts, p.all_negative_prompts = shared.prompt_styles.apply_styles_to_prompts(p.all_prompts, p.all_negative_prompts, p.styles, p.all_seeds)
-        p.prompts = p.all_prompts[p.iteration * p.batch_size:(p.iteration+1) * p.batch_size]
-        p.negative_prompts = p.all_negative_prompts[p.iteration * p.batch_size:(p.iteration+1) * p.batch_size]
+        if not hasattr(p, 'keep_prompts'):
+            p.all_prompts, p.all_negative_prompts = shared.prompt_styles.apply_styles_to_prompts(p.all_prompts, p.all_negative_prompts, p.styles, p.all_seeds)
+            p.prompts = p.all_prompts[p.iteration * p.batch_size:(p.iteration+1) * p.batch_size]
+            p.negative_prompts = p.all_negative_prompts[p.iteration * p.batch_size:(p.iteration+1) * p.batch_size]
         p.prompts, _ = extra_networks.parse_prompts(p.prompts)
 
 
@@ -312,8 +313,9 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
             if shared.native:
                 from modules import ipadapter
                 ipadapter.apply(shared.sd_model, p)
-            p.prompts = p.all_prompts[n * p.batch_size:(n+1) * p.batch_size]
-            p.negative_prompts = p.all_negative_prompts[n * p.batch_size:(n+1) * p.batch_size]
+            if not hasattr(p, 'keep_prompts'):
+                p.prompts = p.all_prompts[n * p.batch_size:(n+1) * p.batch_size]
+                p.negative_prompts = p.all_negative_prompts[n * p.batch_size:(n+1) * p.batch_size]
             p.seeds = p.all_seeds[n * p.batch_size:(n+1) * p.batch_size]
             p.subseeds = p.all_subseeds[n * p.batch_size:(n+1) * p.batch_size]
             if p.scripts is not None and isinstance(p.scripts, scripts.ScriptRunner):

modules/processing_helpers.py

@@ -428,6 +428,8 @@ def resize_hires(p, latents): # input=latents output=pil if not latent_upscaler
 
 
 def fix_prompts(p, prompts, negative_prompts, prompts_2, negative_prompts_2):
+    if hasattr(p, 'keep_prompts'):
+        return prompts, negative_prompts, prompts_2, negative_prompts_2
     if type(prompts) is str:
         prompts = [prompts]
     if type(negative_prompts) is str:

modules/styles.py

@@ -69,7 +69,7 @@ def apply_file_wildcards(prompt, replaced = [], not_found = [], recursion=0, see
         return check_wildcard_files(prompt, wildcard, files, file_only=False)
 
     recursion += 1
-    if not shared.opts.wildcards_enabled or recursion >= 10:
+    if not shared.opts.wildcards_enabled or recursion >= 10 or not isinstance(prompt, str) or len(prompt) == 0:
         return prompt, replaced, not_found
     matches = re.findall(r'__(.*?)__', prompt, re.DOTALL)
     matches = [m for m in matches if m not in not_found]
@@ -303,6 +303,7 @@ class StyleDatabase:
             prompt = apply_styles_to_prompt(prompt, [self.find_style(x).prompt for x in styles])
             prompt = apply_wildcards_to_prompt(prompt, [self.find_style(x).wildcards for x in styles], seeds[i])
             parsed_positive.append(prompt)
+        for i in range(len(negatives)):
             prompt = negatives[i]
             prompt = apply_styles_to_prompt(prompt, [self.find_style(x).negative_prompt for x in styles])
             prompt = apply_wildcards_to_prompt(prompt, [self.find_style(x).wildcards for x in styles], seeds[i])