This one should work for skipping the single layers of models like Flux
and Auraflow.
If you want to see how these models work and how many double/single layers
they have see the "ModelMerge*" nodes for the specific model.
* Update nodes_images.py
Nodes menu has inconsistency in names, some with spaces between words, other not.
* Update nodes.py
Include the node mapping name line for Image Crop Node
* Update nodes_images.py
* Rename image nodes
add space between words for consistency > Display name mappings
* Update nodes_images.py
Nodes menu has inconsistency in names, some with spaces between words, other not.
* Update nodes.py
Include the node mapping name line for Image Crop Node
* Update nodes_images.py
To use:
"Load CLIP" node with t5xxl + type mochi
"Load Diffusion Model" node with the mochi dit file.
"Load VAE" with the mochi vae file.
EmptyMochiLatentVideo node for the latent.
euler + linear_quadratic in the KSampler node.
It probably only works on Linux.
For maximum speed on Flux with Nvidia 40 series/ada and newer try using
this node with fp8_e4m3fn and the --fast argument.
* Add support for simple tooltips
* Fix overflow
* Add tooltips for nodes in the default workflow
* new line
* Prevent potential crash
* PR feedback
* Hide tooltip when clicking (e.g. combo widget)
* Refactor tooltips, add node level support
* Fix
* move
* Fix test (and undo last change)
* Fixed indent
* Fix dom widgets, dont show tooltip if not over canvas
* Fix to LoadImage Node for #3416 HDR images loading additional smaller images.
Added a blocking if statement in the ImageSequence.Iterator that checks if subsequent images after the first match dimensionally, and prevent them from being appended to output_images if they do not match.
This does not fix or change current behavior for PIL 10.2.0 where the images are loaded at the same size, but it does for 10.3.0 where they are loaded at their correct smaller sizes.
* added list of excluded formats that should return 1 image
added an explicit check for the image format so that additional formats can be added to the list that have problematic behavior.
comfyanonymous
Dr.Lt.Data
Uriel Deveaud
Alex "mcmonkey" Goodwin
Vedat Baday
Matthew Turnshek
pythongosssss
Chenlei Hu
Zhenyu Zhou
shawnington