qwe

nodes/FL_VertexGemini25FlashImage.py

@@ -261,6 +261,14 @@ class FL_VertexGemini25FlashImage:
                                 image_data = part.inline_data.data
                                 self._log(f"Batch {batch_idx + 1} - inline_data size: {len(image_data)} bytes")
 
+                                # Check mime type if available
+                                if hasattr(part.inline_data, 'mime_type'):
+                                    self._log(f"Batch {batch_idx + 1} - inline_data mime_type: {part.inline_data.mime_type}")
+
+                                # Check image header to identify format
+                                image_header = image_data[:16] if len(image_data) >= 16 else image_data
+                                self._log(f"Batch {batch_idx + 1} - image header (hex): {image_header.hex()}")
+
                                 pil_image = Image.open(io.BytesIO(image_data))
                                 self._log(f"Batch {batch_idx + 1} image received: {pil_image.width}x{pil_image.height}")
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui_fill-nodes"
 description = "Fill-Nodes is a versatile collection of custom nodes for ComfyUI that extends functionality across multiple domains. Features include advanced image processing (pixelation, slicing, masking), visual effects generation (glitch, halftone, pixel art), comprehensive file handling (PDF creation/extraction, Google Drive integration), AI model interfaces (GPT, DALL-E, Hugging Face), utility nodes for workflow enhancement, and specialized tools for video processing, captioning, and batch operations. The pack provides both practical workflow solutions and creative tools within a unified node collection."
-version = "1.8.4"
+version = "1.8.5"
 license = "LICENSE"
 dependencies = ["diffusers", "librosa", "sounddevice", "glitch_this", "PyOpenGL", "glfw", "scipy>=1.13.1", "requests", "aiohttp", "moviepy", "matplotlib", "reportlab", "openai", "PyPDF2", "pdf2image", "PyMuPDF", "reportlab", "PyPDF2", "ollama", "kornia", "opencv-python", "gdown", "open_clip_torch", "google-genai"]