fix xyz apply

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

modules/processing.py

@@ -250,6 +250,9 @@ def process_init(p: StableDiffusionProcessing):
             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]
+
 
 def process_images_inner(p: StableDiffusionProcessing) -> Processed:
     """this is the main loop that both txt2img and img2img use; it calls func_init once inside all the scopes and func_sample once per batch"""

modules/processing_diffusers.py

@@ -379,6 +379,8 @@ def process_diffusers(p: processing.StableDiffusionProcessing):
         shared.sd_model = sd_models.set_diffuser_pipe(shared.sd_model, sd_models.DiffusersTaskType.INPAINTING) # force pipeline
         if len(getattr(p, 'init_images', [])) == 0:
             p.init_images = [TF.to_pil_image(torch.rand((3, getattr(p, 'height', 512), getattr(p, 'width', 512))))]
+    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]
 
     sd_models.move_model(shared.sd_model, devices.device)
     sd_models_compile.openvino_recompile_model(p, hires=False, refiner=False) # recompile if a parameter changes