This is only the model code itself, it currently defaults to an empty
embedding [0] * 6 which seems to work better than treating it like a
regular controlnet.
TODO: Add nodes to select the image type.
* Fix to #3465. Prevent the, resaving of duplicate images if overwrite not specified
This is a fix to #3465
Adds function compare_image_hash to do a sha256 hash comparison between an uploaded image and existing images with matching file names.
This changes the behavior so that only images having the same filename that are actually different are saved to input, existing images are instead now opened instead of resaved with increment.
Currently, exact duplicates with the same filename are resave saved with an incremented filename in the format:
<filename> (n).ext
with the code:
```
while os.path.exists(filepath):
filename = f"{split[0]} ({i}){split[1]}"
filepath = os.path.join(full_output_folder, filename)
i += 1
```
This commit changes this to:
```
while os.path.exists(filepath):
if compare_image_hash(filepath, image):
image_is_duplicate = True
break
filename = f"{split[0]} ({i}){split[1]}"
filepath = os.path.join(full_output_folder, filename)
i += 1
```
a check for if image_is_duplicate = False is done before saving the file.
Currently, if you load the same image of a cat named cat.jpg into the LoadImage node 3 times, you will get 3 new files in your input folder with incremented file names.
With this change, you will now only have the single copy of cat.jpg, that will be re-opened instead of re-saved.
However if you load 3 different images of cats named cat.jpg, you will get the expected behavior of having:
cat.jpg
cat (1).jpg
cat (2).jpg
This saves space and clutter. After checking my own input folder, I have 800+ images that are duplicates that were resaved with incremented file names amounting to more than 5GB of duplicated data.
* fixed typo in expression
This change includes corrections for several spelling errors in the
documentation of example_node.py.example file.
These were previously raised by #3157, but they missed a few.
bymyself
comfyanonymous
Chenlei Hu
Alex "mcmonkey" Goodwin
shawnington
Bob Du
Peter Crabtree
Hayden Reeve
YAN Wenkun
Robin Huang
ruucm
pythongosssss