102 lines
4.0 KiB
Python
102 lines
4.0 KiB
Python
import base64
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import os
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import io
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import numpy as np
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import torch
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from PIL import Image
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from typing import Optional
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from google import genai
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from google.genai import types
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class GeminiChatNode:
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"""ComfyUI Node for Gemini API Chat with optional image input"""
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"prompt": ("STRING", {"multiline": True}),
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"model": ("STRING", {"default": "gemini-2.5-pro", "multiline": False}),
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"temperature": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 2.0, "step": 0.1}),
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"thinking": ("BOOLEAN", {"default": True}),
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"seed": ("INT", {"default": 69, "min": -1, "max": 2147483646, "step": 1}),
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"api_key": ("STRING", {"default": "", "multiline": False})
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},
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"optional": {
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"system_instruction": ("STRING", {"multiline": True, "default": ""}),
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"thinking_budget": ("INT", {"default": -1, "min": -1, "max": 24576, "step": 1}),
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"image": ("IMAGE",),
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}
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}
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("response",)
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FUNCTION = "generate"
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CATEGORY = "text/generation"
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def generate(self, prompt: str, model: str, temperature: float, thinking: bool, seed: int, api_key: str,
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system_instruction: Optional[str] = None, thinking_budget: int = -1,
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image: Optional[torch.Tensor] = None) -> tuple:
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key = api_key.strip() or os.environ.get("GEMINI_API_KEY")
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if not key:
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raise ValueError("Error: No API key provided.")
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# Initialize client and build parts
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client = genai.Client(api_key=key, http_options=types.HttpOptions(retry_options=types.HttpRetryOptions(attempts=3, jitter=10)))
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parts = [types.Part.from_text(text=prompt)]
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# Handle image input
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if image is not None:
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img_array = image.cpu().numpy() if isinstance(image, torch.Tensor) else image
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if len(img_array.shape) == 4:
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img_array = img_array[0]
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if img_array.dtype in [np.float32, np.float64]:
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img_array = (img_array * 255).astype(np.uint8)
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buffered = io.BytesIO()
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Image.fromarray(img_array).save(buffered, format="PNG")
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parts.append(types.Part.from_bytes(mime_type="image/png", data=buffered.getvalue()))
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model_lower = model.lower()
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if "gemini-2.0" in model_lower:
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print("Gemini-2.0 models do not support thinking - disabling thinking config")
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final_thinking_budget = None
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elif not thinking:
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final_thinking_budget = 0
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if "gemini-2.5-pro" in model_lower:
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print("Gemini-2.5-Pro cannot have thinking turned off - defaulting thinking budget to -1")
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final_thinking_budget = -1
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else:
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final_thinking_budget = thinking_budget
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if "gemini-2.5-pro" in model_lower and final_thinking_budget == 0:
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print("Gemini-2.5-Pro cannot have thinking turned off - defaulting thinking budget to -1")
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final_thinking_budget = -1
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config = types.GenerateContentConfig(
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temperature=temperature,
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seed=seed,
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response_mime_type="text/plain"
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)
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if "gemini-2.0" not in model_lower:
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config.thinking_config = types.ThinkingConfig(thinking_budget=final_thinking_budget)
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if system_instruction and system_instruction.strip():
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config.system_instruction = [types.Part.from_text(text=system_instruction.strip())]
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response = client.models.generate_content(
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model=model,
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contents=[types.Content(role="user", parts=parts)],
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config=config
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)
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return (response.text,)
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# Node mappings
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NODE_CLASS_MAPPINGS = {"GeminiChatNode": GeminiChatNode}
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NODE_DISPLAY_NAME_MAPPINGS = {"GeminiChatNode": "Gemini Chat"}
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