PulseAugur
EN
LIVE 03:29:35

User seeks LoRA training optimization for Krea 2 on Ostris AI Toolkit

A user is seeking advice on optimizing LoRA training for Krea 2 using the Ostris AI Toolkit on their local setup. They are experiencing unusually slow training speeds, even after trying different settings like rank 16 and convrot8, and are questioning if their hardware, which includes an RTX 5070ti with 16GB VRAM and 32GB RAM, is sufficient for the task. The user followed a YouTube tutorial but encountered persistent slowness, with steps taking 30-40 seconds. AI

IMPACT User seeks to optimize local LoRA training for AI model customization.

RANK_REASON User is asking for technical advice on optimizing a specific tool's functionality.

Read on r/StableDiffusion →

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

User seeks LoRA training optimization for Krea 2 on Ostris AI Toolkit

How we ranked this

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User is asking for technical advice on optimizing a specific tool's functionality.
Source corroboration
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.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Beneficial_Eagle_453 ·

    Any good settings for local Lora training for Krea 2 on Ostris AI Toolkit?

    <!-- SC_OFF --><div class="md"><p>I installed and ran Ostris AI Toolkit for the first time locally to train a Lora for Krea 2, 1200 steps, with a dataset of 20 images, however, when the train starts it is super slow more than it should be or more than normal. As of now I am doubt…