feat: FL_Inpaint_Stitch batch support for inpainted variations (v2.3.2)

When the inpainted image has a larger batch size than the original (e.g., batch_size=4
from KSampler), the stitch node now duplicates the original image to match and outputs
all variations instead of silently discarding extras.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Fillip
2026-02-27 19:33:09 -08:00
co-authored by Claude Opus 4.6
parent f139bc15b4
commit 6946cb450d
2 changed files with 6 additions and 1 deletions
+5
View File
@@ -446,6 +446,11 @@ class FL_Inpaint_Stitch:
original_image = stitch['original_image']
x = stitch['x'] # These are in ORIGINAL image coordinates - do NOT rescale!
y = stitch['y']
# Expand original to match inpainted batch size
# e.g., 1 original + 4 inpainted variations → 4 copies of original
original_image = comfy.utils.repeat_to_batch_size(original_image, inpainted_image.shape[0])
stitched_image = original_image.clone().movedim(-1, 1)
inpaint_width = inpainted_image.shape[2]
+1 -1
View File
@@ -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 = "2.3.1"
version = "2.3.2"
license = "LICENSE"
dependencies = ["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"]