diff --git a/modules/processing_args.py b/modules/processing_args.py
index 85be8e4a1..b65047b57 100644
--- a/modules/processing_args.py
+++ b/modules/processing_args.py
@@ -161,7 +161,12 @@ def set_pipeline_args(p, model, prompts:list, negative_prompts:list, prompts_2:t
     if 'prompt' in possible:
         if 'OmniGen' in model.__class__.__name__:
             prompts = [p.replace('|image|', '<|image_1|>') for p in prompts]
-        if hasattr(model, 'text_encoder') and hasattr(model, 'tokenizer') and 'prompt_embeds' in possible and prompt_parser_diffusers.embedder is not None:
+        if 'HiDreamImage' in model.__class__.__name__:
+            args['pooled_prompt_embeds'] = prompt_parser_diffusers.embedder('positive_pooleds')
+            prompt_embeds = prompt_parser_diffusers.embedder('prompt_embeds')
+            args['prompt_embeds_t5'] = prompt_embeds[0]
+            args['prompt_embeds_llama3'] = prompt_embeds[1]
+        elif hasattr(model, 'text_encoder') and hasattr(model, 'tokenizer') and 'prompt_embeds' in possible and prompt_parser_diffusers.embedder is not None:
             args['prompt_embeds'] = prompt_parser_diffusers.embedder('prompt_embeds')
             if prompt_parser_diffusers.embedder is not None:
                 if 'StableCascade' in model.__class__.__name__:
@@ -172,12 +177,15 @@ def set_pipeline_args(p, model, prompts:list, negative_prompts:list, prompts_2:t
                     args['pooled_prompt_embeds'] = prompt_parser_diffusers.embedder('positive_pooleds')
                 elif 'Flux' in model.__class__.__name__:
                     args['pooled_prompt_embeds'] = prompt_parser_diffusers.embedder('positive_pooleds')
-                elif 'HiDreamImage' in model.__class__.__name__:
-                    args['pooled_prompt_embeds'] = prompt_parser_diffusers.embedder('positive_pooleds')
         else:
             args['prompt'] = prompts
     if 'negative_prompt' in possible:
-        if hasattr(model, 'text_encoder') and hasattr(model, 'tokenizer') and 'negative_prompt_embeds' in possible and prompt_parser_diffusers.embedder is not None:
+        if 'HiDreamImage' in model.__class__.__name__:
+            args['negative_pooled_prompt_embeds'] = prompt_parser_diffusers.embedder('negative_pooleds')
+            negative_prompt_embeds = prompt_parser_diffusers.embedder('negative_prompt_embeds')
+            args['negative_prompt_embeds_t5'] = negative_prompt_embeds[0]
+            args['negative_prompt_embeds_llama3'] = negative_prompt_embeds[1]
+        elif hasattr(model, 'text_encoder') and hasattr(model, 'tokenizer') and 'negative_prompt_embeds' in possible and prompt_parser_diffusers.embedder is not None:
             args['negative_prompt_embeds'] = prompt_parser_diffusers.embedder('negative_prompt_embeds')
             if prompt_parser_diffusers.embedder is not None:
                 if 'StableCascade' in model.__class__.__name__:
@@ -186,8 +194,6 @@ def set_pipeline_args(p, model, prompts:list, negative_prompts:list, prompts_2:t
                     args['negative_pooled_prompt_embeds'] = prompt_parser_diffusers.embedder('negative_pooleds')
                 elif 'StableDiffusion3' in model.__class__.__name__:
                     args['negative_pooled_prompt_embeds'] = prompt_parser_diffusers.embedder('negative_pooleds')
-                elif 'HiDreamImage' in model.__class__.__name__:
-                    args['negative_pooled_prompt_embeds'] = prompt_parser_diffusers.embedder('negative_pooleds')
         else:
             if 'PixArtSigmaPipeline' in model.__class__.__name__: # pixart-sigma pipeline throws list-of-list for negative prompt
                 args['negative_prompt'] = negative_prompts[0]
diff --git a/modules/prompt_parser_diffusers.py b/modules/prompt_parser_diffusers.py
index 14c0ed219..ad80e3af0 100644
--- a/modules/prompt_parser_diffusers.py
+++ b/modules/prompt_parser_diffusers.py
@@ -511,11 +511,13 @@ def get_weighted_text_embeddings(pipe, prompt: str = "", neg_prompt: str = "", c
         return prompt_embeds, pooled_prompt_embeds, None, None # no negative support
 
     if "HiDreamImage" in pipe.__class__.__name__: # clip is only used for the pooled embeds
-        prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds = pipe.encode_prompt(
+        prompt_embeds_t5, negative_prompt_embeds_t5, prompt_embeds_llama3, negative_prompt_embeds_llama3, pooled_prompt_embeds, negative_pooled_prompt_embeds = pipe.encode_prompt(
             prompt=prompt, prompt_2=prompt_2, prompt_3=prompt_3, prompt_4=prompt_4,
             negative_prompt=neg_prompt, negative_prompt_2=neg_prompt_2, negative_prompt_3=neg_prompt_3, negative_prompt_4=neg_prompt_4,
             device=device, num_images_per_prompt=1,
         )
+        prompt_embeds = [prompt_embeds_t5, prompt_embeds_llama3]
+        negative_prompt_embeds = [negative_prompt_embeds_t5, negative_prompt_embeds_llama3]
         return prompt_embeds, pooled_prompt_embeds, negative_prompt_embeds, negative_pooled_prompt_embeds
 
     if prompt != prompt_2: