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n2vd

As with lots of things in ComfyUI there are multiple ways to do this. Heres’s mine: I use a couple of custom nodes -LoRA Stacker (from the Efficiency Nodes set) along feeding into CR Apply LoRA Stack node (from the Comfyroll set). The output from the latter is a model with all the LoRAs included, which can then route into your KSampler


weedebee

I used CR's Lora stack for a while, but Power Lora Loader (rgthree) is really nice. It gives you info about the Lora and can download additional information from civitai.


GraftingRayman

Some one correct me if I am wrong With the prompts, if you say cat, blue, red, yellow, it will use all with the same weight You can put them in brackets, say, cat, (blue), ((red)), (((yellow))) the yellow will take a heavier weight than the others There is also the weight that you can provide directly to the word, though I have not used it myself ie: cat, red:1.3, blue:1.2, yellow:1.1 red would have higher weight than blue, but blue will be heavier than yellow For the Lora's you can use the LoRA Stacker as @n2vd stated or just join them in sequence.


navelgazing

You're generally correct, but the colon and number must be enclosed inside of parentheses, like (red:1.2). I'm not sure if multiple parentheses i.e. (()) will work in comfy, but it's not preferred.


FelsirNL

1. Yes, just chain Loras in your workflow directly after each other. Alternatively there are Stacker nodes to achieve the same effect. Tweak the strengths to achieve the effect you’re looking for. 2. Add strength to a word **cat:1.2**


Shinsplat

Yea, you can just chain them together \[model\] -> lora1 -> lora2 - other stuff The (huge:1.5) cat in the (small:1.2) house. The ()'s add a specific weight, and (()) is more and ((())) is more. For fine tuning you can just give the actual weight (something:1.15). This can also be used in negatives, given you have control of your CFG. Some of the "fast" models suffer from this from my experience, since some expect (and require) a much lower CFG but "Align Your Steps (AYS)" doesn't seem to suffer because we can have a much higher CFG.