nodes/silveroxides-ComfyUI_Gemini_Expanded_API
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Update Vertex Auth handling and update available models

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silveroxides
2026-07-28 18:38:11 +02:00
parent b9f499dd27
commit b38d56e4f0
2 changed files with 8 additions and 23 deletions
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__init__.py
+1 -16
View File
@@ -1,25 +1,10 @@
import os
import asyncio
from comfy_api.latest import ComfyExtension, io
from .gemini_nodes import GetKeyAPI, SSL_GeminiAPIKeyConfig, SSL_GeminiTextPrompt
class GeminiExtension(ComfyExtension):
async def on_load(self) -> None:
# Check if environment variables indicate Vertex AI usage
if os.environ.get("GOOGLE_GENAI_USE_VERTEXAI") == "True" or os.environ.get("GOOGLE_CLOUD_PROJECT"):
asyncio.create_task(self._background_auth())
async def _background_auth(self) -> None:
try:
print("[INFO] Attempting background Vertex AI authentication...")
from google import genai
# This will absorb the potential 60s metadata server timeout
client = genai.Client(vertexai=True)
await asyncio.to_thread(client._api_client._access_token)
print("[INFO] Background Vertex AI authentication successful.")
except Exception as e:
print(f"[WARNING] Background Vertex AI auth failed (will retry at inference): {e}")
pass
async def get_node_list(self) -> list[type[io.ComfyNode]]:
return [
gemini_nodes.py
+7 -7
View File
@@ -158,17 +158,17 @@ class SSL_GeminiTextPrompt(IO.ComfyNode):
# Define model lists centrally to ensure consistency between cache logic and execution logic
THINKING_MODELS = [
"gemini-2.0-flash-thinking-exp", "gemini-2.0-flash-thinking-exp-01-21", "gemini-2.0-flash-thinking-exp-1219",
"gemini-2.5-pro", "gemini-2.5-flash",
"gemini-3-pro-preview", "gemini-3-flash-preview", "gemini-3.1-pro-preview", "gemini-3.5-flash", "gemini-pro-latest", "gemini-flash-latest", "gemini-flash-lite-latest"
"gemini-1.5-pro-002", "gemini-2.0-flash-thinking-exp", "gemini-2.0-flash-thinking-exp-01-21", "gemini-2.0-flash-thinking-exp-1219",
"gemini-2.5-pro", "gemini-2.5-flash", "gemini-2.5-flash-preview-04-17", "gemini-2.5-pro-exp-03-25",
"gemini-3-flash-preview", "gemini-3.1-pro-preview", "gemini-3.5-flash-lite", "gemini-3.6-flash", "gemini-pro-latest", "gemini-flash-latest", "gemini-flash-lite-latest"
]
GEN3_THINKING_MODELS = [
"gemini-pro-latest", "gemini-flash-latest", "gemini-3.1-pro-preview",
"gemini-3-pro-preview", "gemini-3-flash-preview", "gemini-3.5-flash"
"gemini-3-flash-preview", "gemini-3.5-flash-lite", "gemini-3.6-flash"
]
IMAGE_MODELS = ["gemini-2.5-flash-image-preview", "gemini-2.5-flash-image", "gemini-3-pro-image-preview", "nano-banana-pro-preview"]
MEDIA_RES_MODELS = [
"gemini-3.1-flash-lite-preview", "gemini-3-pro-preview", "gemini-3-flash-preview", "gemini-3.1-pro-preview",
"gemini-3.1-flash-lite", "gemini-3-flash-preview", "gemini-3.1-pro-preview",
"gemini-3.5-flash", "gemini-pro-latest", "gemini-flash-latest", "gemini-flash-lite-latest"
]
@@ -182,7 +182,7 @@ class SSL_GeminiTextPrompt(IO.ComfyNode):
cls.GemConfig.Input("config"),
IO.String.Input("prompt", multiline=True),
IO.String.Input("system_instruction", default="You are a helpful AI assistant.", multiline=True),
IO.Combo.Input("model", options=["gemini-2.0-flash", "gemini-2.0-flash-lite", "gemini-2.5-pro", "gemini-2.5-flash", "gemini-2.5-flash-lite", "gemini-3-pro-preview", "gemini-3-flash-preview", "gemini-3.1-flash-lite-preview", "gemini-3.1-pro-preview", "gemini-3.5-flash", "gemini-2.5-flash-image-preview", "nano-banana-pro-preview", "gemini-pro-latest", "gemini-flash-latest", "gemini-flash-lite-latest"], default="gemini-2.5-flash"),
IO.Combo.Input("model", options=["gemini-1.5-pro-002", "gemini-2.0-flash", "gemini-2.0-flash-lite", "gemini-2.5-flash-preview-04-17", "gemini-2.5-pro-exp-03-25", "gemini-2.5-pro", "gemini-2.5-flash", "gemini-2.5-flash-lite", "gemini-3-flash-preview", "gemini-3.1-flash-lite", "gemini-3.1-pro-preview", "gemini-3.5-flash-lite", "gemini-3.6-flash", "gemini-2.5-flash-image-preview", "nano-banana-pro-preview", "gemini-pro-latest", "gemini-flash-latest", "gemini-flash-lite-latest"], default="gemini-2.5-flash"),
IO.Float.Input("temperature", default=1.0, min=0.0, max=1.0, step=0.01),
IO.Float.Input("top_p", default=0.95, min=0.0, max=1.0, step=0.01),
IO.Int.Input("top_k", default=40, min=1, max=100, step=1),
@@ -418,7 +418,7 @@ class SSL_GeminiTextPrompt(IO.ComfyNode):
system_instruction=[types.Part.from_text(text=padded_system_instruction)],
)
G3Pro = ["gemini-3.1-pro-preview", "gemini-3-pro-preview"]
G3Pro = ["gemini-3.1-pro-preview"]
# Modified: Added check for thinking_level != "None"
if model in G3Pro and thinking_level is not None and thinking_level != "None":
return types.GenerateContentConfig(