[FEATURE] Save both images, (Skip_Save optional). #265

modules/processing.py

@@ -254,12 +254,16 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
                 x_sample = x_sample.astype(np.uint8)
 
                 if p.restore_faces:
+                    if opts.save and not p.do_not_save_samples and opts.save_images_before_face_restoration:
+                        images.save_image(Image.fromarray(x_sample), p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p)
+
                     devices.torch_gc()
 
                     x_sample = modules.face_restoration.restore_faces(x_sample)
 
                 image = Image.fromarray(x_sample)
 
+
                 if p.overlay_images is not None and i < len(p.overlay_images):
                     overlay = p.overlay_images[i]
 

modules/shared.py

@@ -132,6 +132,7 @@ class Options:
         "multiple_tqdm": OptionInfo(True, "Add a second progress bar to the console that shows progress for an entire job. Broken in PyCharm console."),
         "face_restoration_model": OptionInfo(None, "Face restoration model", gr.Radio, lambda: {"choices": [x.name() for x in face_restorers]}),
         "code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
+        "save_images_before_face_restoration": OptionInfo(False, "Save a copy of image before doing face restoration."),
         "interrogate_keep_models_in_memory": OptionInfo(False, "Interrogate: keep models in VRAM"),
         "interrogate_use_builtin_artists": OptionInfo(True, "Interrogate: use artists from artists.csv"),
         "interrogate_clip_num_beams": OptionInfo(1, "Interrogate: num_beams for BLIP", gr.Slider, {"minimum": 1, "maximum": 16, "step": 1}),