LC123 Nodes: https://github.com/lonecatone23/ComfyUI_LC123_nodes
LC Vision Nodes: https://github.com/lonecatone23/ComfyUI_LC_Vision_nodes
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V2.0
So now that I've figured the model out....
Built in optimizer settings custom designed for your computer with recommendations
Removed unnecessary baggage in the image area like remove background and resize as it didn't work.
Fixed the issues that every other workflow had with the inferior T2I Images. It now has it's own dedicated encoder
Minor OCD stuff
V1.0 Beta.
I ran about 20 workflows and none of them were fast (or good) , so I spent some time figuring it out:
What's Included;
Options for diffusion and GGUF models
Optimizers (that work 🤔)
Model attention backend
Qwen image 2.1 Cache (standard)
EasyCache
I tried a few other's like Sage, Flash, and Sol, but the results were either negligable or they didn't function
5 step Turbo LoRA options
Do Image Edit and T2I in the same workflow
LC vision prompt assist and enhancers
Multi image options
VOSR 2.0 Upscaler
Post Processing
What I found out along the way:
Native node for Image edit and T2I sucks. If this model picks up traction, I'll build better ones
There is a bleed across the image inputs that picks up latent data somehow. No clue why
Still figuring this model out. At one point it was giving me fish gills and deer antlers. It's kinda weird
Turbo LoRA gives decent results, but you really don't save a lot of time
Qwen 2.1 SUCKS at prompt adherence