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Merge pull request #8 from silveroxides/feature/retry-pattern

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Feature/retry pattern
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Silver
2026-02-22 06:45:53 +01:00
committed by GitHub
parent 868c941f32 ae55e2a80a
commit b75bfbdd0a
2 changed files with 14 additions and 11 deletions
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gemini_nodes.py
+13 -10
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@@ -155,19 +155,21 @@ 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-pro-preview-05-06", "gemini-2.5-flash",
"gemini-2.5-flash-preview-09-2025",
"gemini-3-pro-preview",
"gemini-3-flash-preview"
"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-pro-preview-05-06", "gemini-2.5-flash", "gemini-2.5-flash-preview-09-2025",
"gemini-3-pro-preview", "gemini-3-flash-preview", "gemini-3.1-pro-preview", "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"
]
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-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-pro-preview-05-06", "gemini-2.5-flash",
"gemini-3-pro-preview", "gemini-3-flash-preview"
"gemini-3-pro-preview", "gemini-3-flash-preview", "gemini-3.1-pro-preview",
"gemini-pro-latest", "gemini-flash-latest", "gemini-flash-lite-latest"
]
@classmethod
@@ -180,7 +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=["learnlm-2.0-flash-experimental", "gemini-exp-1206", "gemini-2.0-flash", "gemini-2.0-flash-lite-001", "gemini-2.0-flash-exp", "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-pro-preview-05-06", "gemini-2.5-flash", "gemini-2.5-flash-preview-09-2025", "gemini-2.5-flash-lite-preview-09-2025", "gemini-2.5-flash-lite", "gemini-3-pro-preview", "gemini-2.5-flash-image-preview", "nano-banana-pro-preview", "gemini-3-flash-preview"], default="gemini-2.0-flash"),
IO.Combo.Input("model", options=["learnlm-2.0-flash-experimental", "gemini-exp-1206", "gemini-2.0-flash-001", "gemini-2.0-flash", "gemini-2.0-flash-lite-001", "gemini-2.0-flash-lite", "gemini-2.5-pro", "gemini-2.5-pro-preview-05-06", "gemini-2.5-flash", "gemini-2.5-flash-preview-09-2025", "gemini-2.5-flash-lite", "gemini-2.5-flash-lite-preview-09-2025", "gemini-3-pro-preview", "gemini-3-flash-preview", "gemini-3.1-pro-preview", "gemini-2.5-flash-image-preview", "nano-banana-pro-preview", "gemini-2.5-computer-use-preview-10-2025", "gemini-pro-latest", "gemini-flash-latest", "gemini-flash-lite-latest"], default="gemini-2.0-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),
@@ -305,7 +307,7 @@ class SSL_GeminiTextPrompt(IO.ComfyNode):
eff_aspect_ratio = str(aspect_ratio)
# When generating images, thinking params are ignored
elif model == "gemini-3-pro-preview" and thinking_level is not None and thinking_level != "None":
elif model in cls.GEN3_THINKING_MODELS and thinking_level is not None and thinking_level != "None":
eff_thinking_level = thinking_level
eff_include_thoughts = include_thoughts
# Budget is ignored in this specific branch
@@ -421,8 +423,9 @@ 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"]
# Modified: Added check for thinking_level != "None"
if model == "gemini-3-pro-preview" and thinking_level is not None and thinking_level != "None":
if model in G3Pro and thinking_level is not None and thinking_level != "None":
return types.GenerateContentConfig(
temperature=temperature,
top_p=top_p,
pyproject.toml
+1 -1
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@@ -1,7 +1,7 @@
[project]
name = "ComfyUI_Gemini_Expanded_API"
description = "Node for usage of Gemini API"
version = "1.2.3"
version = "1.2.4"
license = {file = "LICENSE"}
dependencies = ["google-genai", "numpy", "torch"]