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Stable Diffusion user seeks advice on LoRA training loss curves

By PulseAugur Editorial · [1 sources] ·

A user is seeking advice on interpreting loss curves during the training of LoRAs for Stable Diffusion, specifically questioning whether a stable, non-decreasing loss curve indicates a problem. They are using a "Wan 2.2" model and are concerned that their data quality might be hindering the learning process. AI

IMPACT Users may encounter similar issues when training custom models and should consult community resources for troubleshooting.

RANK_REASON User question about a specific aspect of AI model training, not a new release or significant industry event.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Stable Diffusion user seeks advice on LoRA training loss curves

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0 / 100
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Commentary
User question about a specific aspect of AI model training, not a new release or significant industry event.
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Single-source cluster
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High
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Story freshness
112 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

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

    Quick question about loss curves on tensorboard or wherever training wan 2.2 loras

    <!-- SC_OFF --><div class="md"><p>What does a good loss curve look like? I feel like i'm being gaslit by AI (although set to high reasoning) to think that it's normal that it's not going down and that doesn't mean that it doesn't learn anything. Should it not go down noticably? I…

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