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