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User struggles to train H3-Image LoRa model in AI_Toolkit

By PulseAugur Editorial · [1 sources] ·

A user on Reddit's r/StableDiffusion subreddit is experiencing difficulties training an H3-Image LoRa model using AI_Toolkit. Despite successfully training numerous LoRAs previously, this attempt resulted in significant blocky artifacts. The user suspects their GPU's 16GB VRAM and the use of W4A8 quantization might be contributing factors, and is experimenting with different training settings like Sigmoid and Shift. AI

IMPACT This issue highlights potential limitations or challenges in training specific AI models with limited hardware resources.

RANK_REASON User-reported issue with a specific tool and model.

Read on r/StableDiffusion →

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

User struggles to train H3-Image LoRa model in AI_Toolkit

How we ranked this

Signal score
16 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-reported issue with a specific tool and model.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

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

    Fail to train H3-Image LoRa in AI-Toolkit

    <!-- SC_OFF --><div class="md"><p>Just for context, I trained 100's of LoRa's in the past for all kinds of models, but this time it does not work. Since I have a GPU with &quot;only&quot; 16GB VRAM and 64 GB SYS RAM I have to use W4A8 quantization to not get OOM. The resulting tr…

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