fix face scripts

modules/face/faceid.py

@@ -205,8 +205,9 @@ def face_id(
             faceid_model.set_scale(scale)
             extra_network_data = None
 
-            processing.process_init(p)
-            p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
+            if p.all_prompts is None or len(p.all_prompts) == 0:
+                processing.process_init(p)
+                p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
             for n in range(p.n_iter):
                 p.iteration = n
                 p.prompts = p.all_prompts[n * p.batch_size:(n+1) * p.batch_size]

modules/face/instantid.py

@@ -64,6 +64,9 @@ def instant_id(p: processing.StableDiffusionProcessing, app, source_images, stre
     shared.sd_model.to(dtype=devices.dtype)
 
     # pipeline specific args
+    if p.all_prompts is None or len(p.all_prompts) == 0:
+        processing.process_init(p)
+        p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
     orig_prompt_attention = shared.opts.prompt_attention
     shared.opts.data['prompt_attention'] = 'Fixed attention' # otherwise need to deal with class_tokens_mask
     p.task_args['image_embeds'] = face_embeds[0].shape # placeholder

modules/face/photomaker.py

@@ -17,6 +17,9 @@ def photo_maker(p: processing.StableDiffusionProcessing, input_images, trigger,
         return None
 
     # validate prompt
+    if p.all_prompts is None or len(p.all_prompts) == 0:
+        processing.process_init(p)
+        p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
     trigger_ids = shared.sd_model.tokenizer.encode(trigger) + shared.sd_model.tokenizer_2.encode(trigger)
     prompt_ids1 = shared.sd_model.tokenizer.encode(p.all_prompts[0])
     prompt_ids2 = shared.sd_model.tokenizer_2.encode(p.all_prompts[0])