From f8e219bad9f33cde94cd31fff3edd70946612541 Mon Sep 17 00:00:00 2001
From: Vladimir Mandic <mandic00@live.com>
Date: Fri, 3 Mar 2023 09:00:52 -0500
Subject: [PATCH] allow api requests to specify do not send images in response

---
 modules/api/api.py    | 10 ++++++++--
 modules/api/models.py | 18 ++++++++++++++++--
 2 files changed, 24 insertions(+), 4 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 6b939daa..7da9081b 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -190,6 +190,9 @@ class Api:
         args = vars(populate)
         args.pop('script_name', 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)
+
         with self.queue_lock:
             p = StableDiffusionProcessingTxt2Img(sd_model=shared.sd_model, **args)
 
@@ -203,7 +206,7 @@ class Api:
                 processed = process_images(p)
             shared.state.end()
 
-        b64images = list(map(encode_pil_to_base64, processed.images))
+        b64images = list(map(encode_pil_to_base64, processed.images)) if send_images else []
 
         return TextToImageResponse(images=b64images, parameters=vars(txt2imgreq), info=processed.js())
 
@@ -232,6 +235,9 @@ 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_images' in args else not args['do_not_send_images']
+        args.pop('do_not_send_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]
@@ -246,7 +252,7 @@ class Api:
                 processed = process_images(p)
             shared.state.end()
 
-        b64images = list(map(encode_pil_to_base64, processed.images))
+        b64images = list(map(encode_pil_to_base64, processed.images)) if send_images else []
 
         if not img2imgreq.include_init_images:
             img2imgreq.init_images = None
diff --git a/modules/api/models.py b/modules/api/models.py
index a947e6ac..aa4ea5d5 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -100,13 +100,27 @@ class PydanticModelGenerator:
 StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
     "StableDiffusionProcessingTxt2Img",
     StableDiffusionProcessingTxt2Img,
-    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "script_name", "type": str, "default": None}, {"key": "script_args", "type": list, "default": []}]
+    [
+        {"key": "sampler_index", "type": str, "default": "Euler"},
+        {"key": "script_name", "type": str, "default": None},
+        {"key": "script_args", "type": list, "default": []},
+        {"key": "do_not_send_images", "type": bool, "default": False}
+    ]
 ).generate_model()
 
 StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
     "StableDiffusionProcessingImg2Img",
     StableDiffusionProcessingImg2Img,
-    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}, {"key": "include_init_images", "type": bool, "default": False, "exclude" : True}, {"key": "script_name", "type": str, "default": None}, {"key": "script_args", "type": list, "default": []}]
+    [
+        {"key": "sampler_index", "type": str, "default": "Euler"},
+        {"key": "init_images", "type": list, "default": None},
+        {"key": "denoising_strength", "type": float, "default": 0.75},
+        {"key": "mask", "type": str, "default": None},
+        {"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_images", "type": bool, "default": False}
+    ]
 ).generate_model()
 
 class TextToImageResponse(BaseModel):