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by liking their models (many forget to do it)
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Thank you for your support.
This workflow combines two models : Fluxmania (Flux model) with Pixel Alchemy (XL model).
Advantages of Flux-XL complementarity :
Good interpretation of the prompt with the Flux T5.
Low anatomical aberrations with Flux.
Good interpretation of XL's artistic styles with Pixel Alchemy V3.
Obviously the Flux and XL model can be replaced by others.
Description
FAQ
Comments (10)
Using native OS tools on Mac and Windows, the zip files for both versions present as invalid.
I was able to get the workflow downloaded using the Google Drive link provided in another comment, and successfully replaced the nodes after hunting for a few of them.
My issue now is there are a couple of "WidgetToString" nodes that I am unsure of what connects into them. I'm still learning, and I'm sure as soon as you mention it, it will seem obvious. My assumption, given there is two of them, is it is an option way point to connect into, depending on what you want, I'm just not sure what the origin is that I am dragging from into those WidgetToString nodes. Any assistance would be fantastic!
I test a lot of options during my tests, alternating ckpt in 1st and 2nd pass, widget to string nodes help me find myself in the image directories, because in the name of each image, name ckpt is recorded with this node, they are absolutely not essential for the proper functioning of the WF.
If you like to use them, here is the extension link: https://github.com/kijai/ComfyUI-KJNodes
@Adel_AI Thanks for the link. For others who might run into a similar issue, after reading down through the github link, I was able to gather that nothing gets connected to those nodes. Rather, one must go to the Manager in the side menu of ComfyUI, and enable "BADGE: #ID NICKNAME," which adds a unique numerical ID above each node. Then, one must identify what the ID is for the "LOAD CHECKPOINT" node and manually enter that ID in the "id" box of the "WidgetToString" node, which allows the node to find the name of the checkpoint being used and add the checkpoint name to the name of the file/image being generated so it's easier to identify what checkpoint produced a given result, when, like you mentioned above, you are testing multiple checkpoints to see which result you like the most.
I was able to do a test run, and it worked as expected, but it dropped it into the root of the output folder in ComfyUI. If I wanted to create a folder inside of the Output folder, and name it "TEST 1," do you know how I would include that in the above WidgetToString nodes to get the images being generated with the new checkpoint name to land/save in the "TEST 1" folder? I know how to do this using primitive nodes, and adding the file name structure, which would look like "TEST 1/[whatever I want to name the images]," but I am not sure how to include this using these Widget to String nodes. Any thoughts?
@pqnisher I use "widget to string" node in association with YANC "save image" node. You must put "filename_prefix" from the save node as input and connect it to the "widget to string" node. The name of the directory in which you want to collect your images in the widget "folder" of the save node. Be careful not to leave characters in the widget names that Windows does not accept in file names, otherwise there will be an error message, or the image will not be saved. Use “string functions” or “replace” nodes to filter banned characters
the workflow works well but i was thinking what if we do it the other way around. Use the creativity and beauty of PixelAlchemy and use Flux as a refiner. I post an example with workflow in the galery.
Hello there, I seem to be getting an error:
"FluxBlockLoraLoader
cannot access local variable 'k' where it is not associated with a value"
Any ideas on this one? Everything else seems to run fine if I "bypass" both the FluxBlockLoraLoader's
Hi, These nodes are deprecated, you can replace them with any other LoRA Flux loader, like "Power Lora Loader" (rgthree extension)
Thank you for the quick response. Will do! Things in this field are moving so quickly a few months can make a huge difference in little things such as this. Still learning. Love your work, keep it up!