fix prompt parser with batch size

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

CHANGELOG.md

@@ -37,6 +37,7 @@
   - Fix TAESD model type detection  
   - Fix LoRA loader incorrectly reporting errors  
   - Fix hypertile for img2img and inpaint operations  
+  - Fix prompt parser batch size  
 
 ## Update for 2025-06-16
 

modules/processing_helpers.py

@@ -424,19 +424,28 @@ 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:
         negative_prompts = [negative_prompts]
+
     if hasattr(p, '[init_images]') and p.init_images is not None and len(p.init_images) > 1:
         while len(prompts) < len(p.init_images):
             prompts.append(prompts[-1])
         while len(negative_prompts) < len(p.init_images):
             negative_prompts.append(negative_prompts[-1])
+
+    while len(prompts) < p.batch_size:
+        prompts.append(prompts[-1])
+    while len(negative_prompts) < p.batch_size:
+        negative_prompts.append(negative_prompts[-1])
+
     while len(negative_prompts) < len(prompts):
         negative_prompts.append(negative_prompts[-1])
     while len(prompts) < len(negative_prompts):
         prompts.append(prompts[-1])
+
     if type(prompts_2) is str:
         prompts_2 = [prompts_2]
     if type(prompts_2) is list:

modules/prompt_parser_diffusers.py

@@ -53,7 +53,8 @@ class PromptEmbedder:
         self.negative_prompts = negative_prompts
         self.batchsize = len(self.prompts)
         self.attention = last_attention
-        self.allsame = self.compare_prompts()  # collapses batched prompts to single prompt if possible
+        self.allsame = False # dont collapse prompts
+        # self.allsame = self.compare_prompts()  # collapses batched prompts to single prompt if possible
         self.steps = steps
         self.clip_skip = clip_skip
         # All embeds are nested lists, outer list batch length, inner schedule length
@@ -83,7 +84,7 @@ class PromptEmbedder:
         self.checkcache(p)
         debug(f"Prompt encode: time={(time.time() - t0):.3f}")
 
-    def checkcache(self, p):
+    def checkcache(self, p) -> bool:
         if shared.opts.sd_textencoder_cache_size == 0:
             return False
         if self.scheduled_prompt:
@@ -176,13 +177,13 @@ class PromptEmbedder:
         else:
             prompt_embed, positive_pooled, negative_embed, negative_pooled = get_weighted_text_embeddings(pipe, positive_prompt, negative_prompt, self.clip_skip)
         if prompt_embed is not None:
-            self.prompt_embeds[batchidx].append(prompt_embed)
+            self.prompt_embeds[batchidx] = [prompt_embed]
         if negative_embed is not None:
-            self.negative_prompt_embeds[batchidx].append(negative_embed)
+            self.negative_prompt_embeds[batchidx] = [negative_embed]
         if positive_pooled is not None:
-            self.positive_pooleds[batchidx].append(positive_pooled)
+            self.positive_pooleds[batchidx] = [positive_pooled]
         if negative_pooled is not None:
-            self.negative_pooleds[batchidx].append(negative_pooled)
+            self.negative_pooleds[batchidx] = [negative_pooled]
 
         if debug_enabled:
             get_tokens(pipe, 'positive', positive_prompt)