update google access methods

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

CHANGELOG.md

@@ -1,5 +1,10 @@
 # Change Log for SD.Next
 
+## Update for 2025-12-12
+
+- Google models support for both Dev and Vertex access methods  
+  see [docs](https://vladmandic.github.io/sdnext-docs/Google-GenAI/) for details  
+
 ## Update for 2025-12-11
 
 ### Highlights for 2025-12-11

modules/shared.py

@@ -164,6 +164,11 @@ options_templates.update(options_section(('sd', "Model Loading"), {
 options_templates.update(options_section(('model_options', "Model Options"), {
     "model_modular_sep": OptionInfo("<h2>Modular Pipelines</h2>", "", gr.HTML),
     "model_modular_enable": OptionInfo(False, "Enable modular pipelines (experimental)"),
+    "model_google_sep": OptionInfo("<h2>Google GenAI</h2>", "", gr.HTML),
+    "google_use_vertexai": OptionInfo(False, "Google cloud use VertexAI endpoints"),
+    "google_api_key": OptionInfo("", "Google cloud API key", gr.Textbox),
+    "google_project_id": OptionInfo("", "Google Cloud project ID", gr.Textbox),
+    "google_location_id": OptionInfo("", "Google Cloud location ID", gr.Textbox),
     "model_sd3_sep": OptionInfo("<h2>Stable Diffusion 3.x</h2>", "", gr.HTML),
     "model_sd3_disable_te5": OptionInfo(False, "Disable T5 text encoder"),
     "model_h1_sep": OptionInfo("<h2>HiDream</h2>", "", gr.HTML),

modules/video_models/google_veo.py

@@ -69,17 +69,38 @@ class GoogleVeoVideoPipeline():
             image=genai.types.Image(image_bytes=image_bytes.getvalue(), mime_type='image/jpeg'),
         )
 
+    def get_args(self):
+        from modules.shared import opts
+        api_key = os.getenv("GOOGLE_API_KEY") or opts.google_api_key
+        vertex_credentials = os.getenv("GOOGLE_APPLICATION_CREDENTIALS")
+        if (api_key is None or len(api_key) == 0) and (vertex_credentials is None or len(vertex_credentials) == 0):
+            log.error(f'Cloud: model="{self.model}" API key not provided')
+            return None
+        use_vertexai = (os.getenv("GOOGLE_GENAI_USE_VERTEXAI") is not None) or opts.google_use_vertexai
+        project_id = os.getenv("GOOGLE_CLOUD_PROJECT") or opts.google_project_id
+        location_id = os.getenv("GOOGLE_CLOUD_LOCATION") or opts.google_location_id
+        args = {
+            'api_key': api_key,
+            'vertexai': use_vertexai,
+            'project': project_id if len(project_id) > 0 else None,
+            'location': location_id if len(location_id) > 0 else None,
+        }
+        args_copy = args.copy()
+        args_copy['api_key'] = '...' + args_copy['api_key'][-4:] # last 4 chars
+        args_copy['credentials'] = vertex_credentials
+        log.debug(f'Cloud: model="{self.model}" args={args_copy}')
+        return args
+
     def __call__(self, prompt: list[str], width: int, height: int, image: Image.Image = None, num_frames: int = 4*24):
         from google import genai
 
         if isinstance(prompt, list) and len(prompt) > 0:
             prompt = prompt[0]
         if self.client is None:
-            api_key = os.getenv("GOOGLE_API_KEY", None)
-            if api_key is None:
-                log.error(f'Cloud: model="{self.model}" GOOGLE_API_KEY environment variable not set')
+            args = self.get_args()
+            if args is None:
                 return None
-            self.client = genai.Client(api_key=api_key, vertexai=False)
+            self.client = genai.Client(**args)
 
         resolution, aspect_ratio = get_size_buckets(width, height)
         duration = num_frames // 24

pipelines/model_google.py

@@ -67,14 +67,35 @@ class GoogleNanoBananaPipeline():
             ],
         )
 
+    def get_args(self):
+        from modules.shared import opts
+        api_key = os.getenv("GOOGLE_API_KEY") or opts.google_api_key
+        vertex_credentials = os.getenv("GOOGLE_APPLICATION_CREDENTIALS")
+        if (api_key is None or len(api_key) == 0) and (vertex_credentials is None or len(vertex_credentials) == 0):
+            log.error(f'Cloud: model="{self.model}" API key not provided')
+            return None
+        use_vertexai = (os.getenv("GOOGLE_GENAI_USE_VERTEXAI") is not None) or opts.google_use_vertexai
+        project_id = os.getenv("GOOGLE_CLOUD_PROJECT") or opts.google_project_id
+        location_id = os.getenv("GOOGLE_CLOUD_LOCATION") or opts.google_location_id
+        args = {
+            'api_key': api_key,
+            'vertexai': use_vertexai,
+            'project': project_id if len(project_id) > 0 else None,
+            'location': location_id if len(location_id) > 0 else None,
+        }
+        args_copy = args.copy()
+        args_copy['api_key'] = '...' + args_copy['api_key'][-4:] # last 4 chars
+        args_copy['credentials'] = vertex_credentials
+        log.debug(f'Cloud: model="{self.model}" args={args_copy}')
+        return args
+
     def __call__(self, prompt: list[str], width: int, height: int, image: Image.Image = None):
         from google import genai
         if self.client is None:
-            api_key = os.getenv("GOOGLE_API_KEY", None)
-            if api_key is None:
-                log.error(f'Cloud: model="{self.model}" GOOGLE_API_KEY environment variable not set')
+            args = self.get_args()
+            if args is None:
                 return None
-            self.client = genai.Client(api_key=api_key, vertexai=False)
+            self.client = genai.Client(**args)
 
         image_size, aspect_ratio = get_size_buckets(width, height)
         if 'gemini-3' in self.model:
@@ -85,7 +106,7 @@ class GoogleNanoBananaPipeline():
             response_modalities=["IMAGE"],
             image_config=image_config
         )
-        log.debug(f'Cloud: prompt="{prompt}" size={image_size} ar={aspect_ratio} image={image} model="{self.model}"')
+        log.debug(f'Cloud: model="{self.model}" prompt="{prompt}" size={image_size} ar={aspect_ratio} image={image}')
         # log.debug(f'Cloud: config={self.config}')
 
         try: