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Reddit user proposes community effort to boost Minimax AI with seadance 2.5 capabilities

By PulseAugur Editorial · [1 sources] ·

A user on Reddit is proposing a method to enhance the open-source Minimax AI model by creating a LoRA (Low-Rank Adaptation) through extensive data captioning. The goal is to achieve the high-quality content generation capabilities of seadance 2.5, which the user finds easier to use for generating impressive visuals. The suggestion involves community members contributing diverse video datasets, such as people walking or eating, to train the LoRA and integrate it with Minimax. AI

RANK_REASON User-generated content on Reddit proposing a technical approach to improve an AI model.

Read on r/StableDiffusion →

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

Reddit user proposes community effort to boost Minimax AI with seadance 2.5 capabilities

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User-generated content on Reddit proposing a technical approach to improve an AI model.
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COVERAGE [1]

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

    Cant we turn minimax into seadance 2.5

    <!-- SC_OFF --><div class="md"><p>Can't we all who wants to use open source like make some kind of Lora by feeding it loads of data with captions and then just connect that Lora to minimax and have a machine thats on levels with seadance 2.5. I'll chip in with 50 4k resolution up…

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