rename fields for API for saving/sending images

save images to correct directories

modules/api/api.py

@@ -178,29 +178,27 @@ class Api:
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         script, script_idx = self.get_script(txt2imgreq.script_name, scripts.scripts_txt2img)
 
-        populate = txt2imgreq.copy(update={ # Override __init__ params
+        populate = txt2imgreq.copy(update={  # Override __init__ params
             "sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index),
-            "do_not_save_samples": txt2imgreq.do_not_save,
-            "do_not_save_grid": txt2imgreq.do_not_save,
-            }
-        )
+            "do_not_save_samples": not txt2imgreq.save_images,
+            "do_not_save_grid": not txt2imgreq.save_images,
+        })
         if populate.sampler_name:
             populate.sampler_index = None  # prevent a warning later on
 
         args = vars(populate)
         args.pop('script_name', None)
 
-        send_images = True if not 'do_not_send' in args else not args['do_not_send']
-        args.pop('do_not_send', None)
-        args.pop('do_not_save', None)
+        send_images = args.pop('send_images', True)
+        args.pop('save_images', None)
 
         with self.queue_lock:
             p = StableDiffusionProcessingTxt2Img(sd_model=shared.sd_model, **args)
+            p.outpath_grids = opts.outdir_txt2img_grids
+            p.outpath_samples = opts.outdir_txt2img_samples
 
             shared.state.begin()
             if script is not None:
-                p.outpath_grids = opts.outdir_txt2img_grids
-                p.outpath_samples = opts.outdir_txt2img_samples
                 p.script_args = [script_idx + 1] + [None] * (script.args_from - 1) + p.script_args
                 processed = scripts.scripts_txt2img.run(p, *p.script_args)
             else:
@@ -222,13 +220,12 @@ class Api:
         if mask:
             mask = decode_base64_to_image(mask)
 
-        populate = img2imgreq.copy(update={ # Override __init__ params
+        populate = img2imgreq.copy(update={  # Override __init__ params
             "sampler_name": validate_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index),
-            "do_not_save_samples": img2imgreq.do_not_save,
-            "do_not_save_grid": img2imgreq.do_not_save,
-            "mask": mask
-            }
-        )
+            "do_not_save_samples": not img2imgreq.save_images,
+            "do_not_save_grid": not img2imgreq.save_images,
+            "mask": mask,
+        })
         if populate.sampler_name:
             populate.sampler_index = None  # prevent a warning later on
 
@@ -236,21 +233,17 @@ class Api:
         args.pop('include_init_images', None)  # this is meant to be done by "exclude": True in model, but it's for a reason that I cannot determine.
         args.pop('script_name', None)
 
-        send_images = True if not 'do_not_send' in args else not args['do_not_send']
-        args.pop('do_not_send', None)
-        args.pop('do_not_save', None)
-
-        send_images = True if not 'do_not_send_images' in args else not args['do_not_send_images']
-        args.pop('do_not_send_images', None)
+        send_images = args.pop('send_images', True)
+        args.pop('save_images', None)
 
         with self.queue_lock:
             p = StableDiffusionProcessingImg2Img(sd_model=shared.sd_model, **args)
             p.init_images = [decode_base64_to_image(x) for x in init_images]
+            p.outpath_grids = opts.outdir_img2img_grids
+            p.outpath_samples = opts.outdir_img2img_samples
 
             shared.state.begin()
             if script is not None:
-                p.outpath_grids = opts.outdir_img2img_grids
-                p.outpath_samples = opts.outdir_img2img_samples
                 p.script_args = [script_idx + 1] + [None] * (script.args_from - 1) + p.script_args
                 processed = scripts.scripts_img2img.run(p, *p.script_args)
             else:

modules/api/models.py

@@ -104,8 +104,8 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
         {"key": "sampler_index", "type": str, "default": "Euler"},
         {"key": "script_name", "type": str, "default": None},
         {"key": "script_args", "type": list, "default": []},
-        {"key": "do_not_send", "type": bool, "default": False},
-        {"key": "do_not_save", "type": bool, "default": True}
+        {"key": "send_images", "type": bool, "default": True},
+        {"key": "save_images", "type": bool, "default": False},
     ]
 ).generate_model()
 
@@ -120,8 +120,8 @@ StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
         {"key": "include_init_images", "type": bool, "default": False, "exclude" : True},
         {"key": "script_name", "type": str, "default": None},
         {"key": "script_args", "type": list, "default": []},
-        {"key": "do_not_send", "type": bool, "default": False},
-        {"key": "do_not_save", "type": bool, "default": True}
+        {"key": "send_images", "type": bool, "default": True},
+        {"key": "save_images", "type": bool, "default": False},
     ]
 ).generate_model()
 

modules/images.py

@@ -489,9 +489,6 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     """
     namegen = FilenameGenerator(p, seed, prompt, image)
 
-    if path is None: # set default path to avoid errors when functions are triggered manually or via api and param is not set
-        path = opts.outdir_save
-
     if save_to_dirs is None:
         save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)