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Stable Diffusion user seeks Z-image LoRA training limits

A user on Reddit is seeking advice regarding training limitations for a "Z-image" LoRA model, specifically concerning step and burn limits. They are concerned that training a large dataset of 1000 images with potentially 100,000 steps could damage the model. The user is asking for community experience and guidance on whether such a high step count is feasible or if it will lead to a "burned" or unusable LoRA, especially when dealing with a dataset containing diverse concepts and characters. AI

RANK_REASON This is a user query on a forum about a specific technical detail of a niche AI art tool, not a significant industry event.

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  1. r/StableDiffusion TIER_2 English(EN) · /u/Starkaiser ·

    What is the step limitation and burn limit on Z image train?

    <!-- SC_OFF --><div class="md"><p>Hi. I usually like all in one lora, because it has everything I need in the same lora. I usually trained using very large dataset. (1000 images). when I trained on PonyXL before, I have to use high batch 8 (or more I couldn't remember) to divide …