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RawSnap v3 LoKr model released with expanded dataset

By PulseAugur Editorial · [1 sources] ·

A new iteration of the RawSnap model, version 3, has been released. This version is a LoKr, not a standard LoRA, and was retrained from scratch using an expanded dataset of 749 images over 11,235 steps and 15 epochs. The developers recommend stacking RawSnap v3 with RawSnap v2 for optimal results, suggesting a weight of 1.2 for v3 and 0.35 for v2. AI

IMPACT This release offers an updated model for image generation, potentially improving results for users who stack it with previous versions.

RANK_REASON Release of a new version of a specific AI model, with details on its training dataset and recommended usage. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/StableDiffusion →

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

RawSnap v3 LoKr model released with expanded dataset

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8 / 100
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Newsworthiness bucket
Tool
Release of a new version of a specific AI model, with details on its training dataset and recommended usage. [lever_c_demoted from research: ic=1 ai=1.0]
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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.
Topics
model release
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Wide_Director_8897 ·

    RawSnap v3 LoKR is out!

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1xq8n9o/rawsnap_v3_lokr_is_out/"> <img alt="RawSnap v3 LoKR is out!" src="https://preview.redd.it/zjzip3bfi70i1.jpeg?width=140&amp;height=87&amp;auto=webp&amp;s=bca125f4290e67208521316f4b7d939842ac3d2a" t…

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