[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

.github/workflows/publish.yml

@@ -8,17 +8,19 @@ on:
     paths:
       - "pyproject.toml"
 
+permissions:
+  issues: write
+
 jobs:
   publish-node:
     name: Publish Custom Node to registry
     runs-on: ubuntu-latest
-    # if this is a forked repository. Skipping the workflow.
-    if: github.event.repository.fork == false
+    if: ${{ github.repository_owner == 'Visionatrix' }}
     steps:
       - name: Check out code
         uses: actions/checkout@v4
       - name: Publish Custom Node
-        uses: Comfy-Org/publish-node-action@main
+        uses: Comfy-Org/publish-node-action@v1
         with:
           ## Add your own personal access token to your Github Repository secrets and reference it here.
           personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

.pre-commit-config.yaml

@@ -1,7 +1,7 @@
 exclude: ^(screenshots)/
 repos:
 -   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
     -   id: check-yaml
     -   id: check-toml
@@ -10,23 +10,23 @@ repos:
     -   id: mixed-line-ending
 
 -   repo: https://github.com/PyCQA/isort
-    rev: 5.13.2
+    rev: 9.0.2
     hooks:
     -   id: isort
         files: .
 
--   repo: https://github.com/psf/black
-    rev: 24.10.0
+-   repo: https://github.com/psf/black-pre-commit-mirror
+    rev: 26.10.0
     hooks:
     -   id: black
         files: .
 
 -   repo: https://github.com/tox-dev/pyproject-fmt
-    rev: 2.3.1
+    rev: v2.30.1
     hooks:
     -   id: pyproject-fmt
 
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.6.9
+    rev: v0.16.10
     hooks:
     -   id: ruff

CHANGELOG.md

@@ -2,6 +2,36 @@
 
 All notable changes to this project will be documented in this file.
 
+## [1.1.2 - 2025-06-26]
+
+### Added
+
+- `temperature` and `num_predict` optional parameters.
+
+## [1.1.1 - 2025-06-26]
+
+### Added
+
+- New `gemma-3-12b-it` and `gemma-3-27b-it` models.
+
+## [1.1.0 - 2025-06-19]
+
+### Changed
+
+- Replaced Gemini `1.5` models with Gemini `2.5` models.
+
+## [1.0.5 - 2025-05-25]
+
+### Fixed
+
+- Corrected support of the `GOOGLE_API_KEY` env variable.
+
+## [1.0.4 - 2025-04-04]
+
+### Added
+
+- New `gemini-2.0-flash-lite-001` model.
+
 ## [1.0.3 - 2025-02-10]
 
 ### Added

README.md

@@ -46,9 +46,12 @@ These nodes integrate the Gemini API into ComfyUI, allowing you to send prompts
 - **model (CHOICE)**:
   - Selects the Gemini model to use.
   - Options:
-    - `gemini-1.5-flash-002`: Old version of the fast and free model.
-    - `gemini-2.0-flash-001`: New version of the free and even better model.
-    - `gemini-1.5-pro-002`: Pro model with advanced capabilities.
+    - `gemma-3-12b-it`: Very small model that you can run locally or remotely on the Google infrastructure.
+    - `gemma-3-27b-it`: Medium size model that you can run locally or remotely on the Google infrastructure.
+    - `gemini-2.0-flash-lite-001`: Old version of the **very** fast and free model.
+    - `gemini-2.0-flash-001`: Old version of the fast and free model.
+    - `gemini-2.5-flash`: Latest stable version of the fast and free model.
+    - `gemini-2.5-pro`: Latest stable **Pro** model with advanced capabilities.
 - **api_key (STRING, Optional)**:
   - Your Gemini API key.
   - Recommended to set via environment variable.
@@ -63,5 +66,9 @@ These nodes integrate the Gemini API into ComfyUI, allowing you to send prompts
 - **error_fallback_value (STRING, Optional, Lazy Input)**:
   - Value to return if an error occurs when accessing Gemini.
   - If not set, the node will raise an exception on error.
+- **temperature (FLOAT, Optional, Lazy Input)**:
+  - Controls the randomness of the output. Any **negative value** means to use default value for model.
+- **num_predict (INT, Optional, Lazy Input)**:
+  - The maximum number of tokens to include in a candidate, value `0` means to use default value for model.
 
 ![Race and Gender Detection](https://raw.githubusercontent.com/Visionatrix/ComfyUI-Gemini/main/screenshots/race_gender.jpg)

nodes.py

@@ -1,4 +1,5 @@
 import logging
+import os
 import random
 
 import google.generativeai as genai
@@ -18,7 +19,16 @@ class GeminiNode:
                 "prompt": ("STRING", {"default": "Why number 42 is important?", "multiline": True}),
                 "safety_settings": (["BLOCK_NONE", "BLOCK_ONLY_HIGH", "BLOCK_MEDIUM_AND_ABOVE"],),
                 "response_type": (["text", "json"],),
-                "model": (["gemini-1.5-flash-002", "gemini-2.0-flash-001", "gemini-1.5-pro-002"],),
+                "model": (
+                    [
+                        "gemma-3-12b-it",
+                        "gemma-3-27b-it",
+                        "gemini-2.0-flash-lite-001",
+                        "gemini-2.0-flash-001",
+                        "gemini-2.5-flash",
+                        "gemini-2.5-pro",
+                    ],
+                ),
             },
             "optional": {
                 "api_key": ("STRING", {}),
@@ -29,6 +39,8 @@ class GeminiNode:
                 "system_instruction": ("STRING", {}),
                 "error_fallback_value": ("STRING", {"lazy": True}),
                 "seed": ("INT", {"default": seed, "min": 0, "max": 2**31, "step": 1}),
+                "temperature": ("FLOAT", {"default": -0.05, "min": -0.05, "max": 1, "step": 0.05}),
+                "num_predict": ("INT", {"default": 0, "min": 0, "max": 1048576, "step": 1}),
             },
         }
 
@@ -57,6 +69,8 @@ class GeminiNode:
         image_3: Tensor | list[Tensor] | None = None,
         system_instruction: str | None = None,
         error_fallback_value: str | None = None,
+        temperature: float | None = None,
+        num_predict: int | None = None,
         **kwargs,
     ):
         self.text_output = None
@@ -66,11 +80,18 @@ class GeminiNode:
         for image in [image_1, image_2, image_3]:
             if image is not None:
                 images_to_send.extend(images_to_pillow(image))
-        genai.configure(api_key=api_key, transport="rest")
+        if "GOOGLE_API_KEY" in os.environ and not api_key:
+            genai.configure(transport="rest")
+        else:
+            genai.configure(api_key=api_key, transport="rest")
         model = genai.GenerativeModel(model, safety_settings=safety_settings, system_instruction=system_instruction)
         generation_config = genai.GenerationConfig(
             response_mime_type="application/json" if response_type == "json" else "text/plain"
         )
+        if temperature is not None and temperature >= 0:
+            generation_config.temperature = temperature
+        if num_predict is not None and num_predict > 0:
+            generation_config.max_output_tokens = num_predict
         try:
             with temporary_env_var("HTTP_PROXY", proxy), temporary_env_var("HTTPS_PROXY", proxy):
                 response = model.generate_content([prompt, *images_to_send], generation_config=generation_config)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "comfyui-gemini"
-version = "1.0.3"
+version = "1.1.2"
 description = "Nodes for Google Gemini API, focusing on backward compatibility and stability within ComfyUI."
 license = { file = "LICENSE" }
 requires-python = ">=3.10"
@@ -10,8 +10,10 @@ classifiers = [
   "Programming Language :: Python :: 3.11",
   "Programming Language :: Python :: 3.12",
   "Programming Language :: Python :: 3.13",
+  "Programming Language :: Python :: 3.14",
+  "Programming Language :: Python :: 3.15",
 ]
-dependencies = [ "google-generativeai>=0.8.3" ]
+dependencies = [ "google-generativeai>=0.8.5" ]
 urls.Changelog = "https://github.com/Visionatrix/ComfyUI-Gemini/blob/main/CHANGELOG.md"
 urls.Repository = "https://github.com/Visionatrix/ComfyUI-Gemini"
 urls.Source = "https://github.com/Visionatrix/ComfyUI-Gemini"

utils.py

@@ -20,7 +20,7 @@ def temporary_env_var(key: str, new_value: str | None):
             del os.environ[key]
 
 
-def images_to_pillow(images: Tensor | list[Tensor]) -> list[Image]:
+def images_to_pillow(images: Tensor | list[Tensor]) -> list[Image.Image]:
     pillow_images = []
     for _bn, image in enumerate(images):
         i = 255.0 * image.cpu().numpy()