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Stable Diffusion users debate optimal LoRA settings for distilled models

A user on Reddit's r/StableDiffusion subreddit is asking for clarification on the optimal settings for using a "distiller lora" with a base model. Specifically, they want to know if the recommended settings of 8 steps and a CFG of 1, typically used with a distilled model, should also be applied when using the base model in conjunction with the distiller lora. Alternatively, they are questioning whether a higher step count (20+) and a CFG of around 4 would be more appropriate in this scenario. AI

IMPACT This query pertains to a specific technical detail within the Stable Diffusion ecosystem and does not have broader implications for AI operators.

RANK_REASON The cluster discusses a technical question about a specific parameter setting for a niche application within a larger AI model, lacking broader industry significance.

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Stable Diffusion users debate optimal LoRA settings for distilled models

COVERAGE [1]

  1. r/StableDiffusion TIER_2 Français(FR) · /u/elbeewastaken ·

    Noob question about LTX + distiller lora

    <!-- SC_OFF --><div class="md"><p>With the distilled model, I know you're supposed to use 8 steps and a CFG of 1. However, if I use the base model + the distiller lora, do I still use the same 8 steps and a CFG of 1? Or do I use 20+ steps and around 4 CFG instead?</p> </div><!-- …