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User criticizes Fal's 999+ style LoRAs as low-quality

A user on Reddit has criticized Fal for releasing over 999 style LoRAs on HuggingFace, describing them as "piles of garbage." The user, Dever, claims these LoRAs are undertrained and lack diverse datasets, evidenced by their poor performance with simple prompts. To demonstrate, Dever trained two style LoRAs for Krea2, one with 100 steps and another with 1000 steps, using the trigger word "n0t_f4l," and made them available for comparison. AI

IMPACT Highlights potential quality control issues in AI model releases and the importance of proper training methodologies.

RANK_REASON User-generated critique of a company's product release.

Read on r/StableDiffusion →

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

User criticizes Fal's 999+ style LoRAs as low-quality

COVERAGE [1]

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

    999 piles of garbage - why fal ?

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1ugmx26/999_piles_of_garbage_why_fal/"> <img alt="999 piles of garbage - why fal ?" src="https://preview.redd.it/dpljet45kp9h1.png?width=140&amp;height=38&amp;auto=webp&amp;s=16b4dff3af8cf10d2f7649bd72bc2…