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Wahtastic Furry Mix

#Furry
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Wahtastic Furry Mix - AI Model cover image
Dimuat naik pada
17 Ogo 2025, 12:26 PG
Kegunaan
3.4k
Ulasan
Cemerlang  (1)
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  • Allow image generation & sharing
  • Benarkan pengguna memuat turun model anda
  • Kegunaan komersial

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Keterangan

The ultimate goal of this model is to provide an experience very similar to the already fairly competent base of NoobAI v-pred, while fixing up rough edges. Many other merges suffer from the bimodality of either having good prompt adherence (closer to base noob) or good default aesthetics (closer to illustrious).Ideally, both can be encapsulated in a model without sacrificing too much model knowledge to achieve this.Wahtastic Roadmap✅ 1536x Super-resolution supportAllow for 1536x native generation (and slightly above), akin to Illustrious 2.0+Fix e6 size tag implications (hyper ≠ huge ≠ big)In short, e6 tags have implications; hyper_* implies huge_, and huge_ implies big_Because of this, the model leans to associate big with huge, and huge with hyper, causing big_ to cause disproportionately large body parts at times.Natural language captioningYes, CLIP sucks.Using lodestone-rock's natural-language captions, ideally some amount of natural language understanding can be brought backThis is inspired by EasyFluff /XLSuperior style knowledge~20k e6 artists with > 500 < 20 posts~24k danbooru artistsCompute is expensive, and while plenty has been granted to me by kind acquaintances, a fair bit of money has been poured into the training process If you like the model, or would like to help me offset the sunken cost of this, please consider donating:ETH Wallet Address for Donations: 0x645BebF82373865eC520d8AC2527524BfB174FF8 If you prefer PayPal/Stripe, please contact me on Discord @ velvet.toroyashiRecommended SettingsFor optimal results, we recommend the following inference parameters:Sampler: Euler or Euler AScheduler: Normal or BetaSteps: 16-24CFG Scale: 3-6Resolution:For general use: 832x1200 (or similar aspect ratios with a total area around 1024x1024)For V9.1 and above: Can natively handle 1536x resolutions.

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