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| title: README |
| emoji: 📈 |
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| # Ars AI |
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| > *Doing training and merging for shits and giggles* |
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| ## About |
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| **Ars AI** is an independent, open-source generative AI playground driven by a very simple, highly sophisticated core philosophy: Random Bullshit, Go! |
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| What started as pure curiosity about model merging quickly spiraled into an absolute obsession with pushing the limits of Stable Diffusion. We don't really do "orderly" or "cookie-cutter" standalone checkpoints here. Instead, every single release is a chaotic living experiment—a mad-scientist mix of aggressive UNet block merges, heavily stacked passive LoRA bakes, cyclical training loops, and sheer trial by fire. |
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| Ars AI is the culmination of that wild journey. It's a space where we throw everything at the wall, analyze the wreckage, and turn every successful bake, every fried pixel, and every glorious "what if?" into a stepping stone for the next generation of models. |
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| ## Philosophy |
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| **The "Random Bullshit, Go!" Doctrine** |
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| Knowledge isn't defined by what's safely tucked away in a textbook—it's defined by the absolute chaos of what we haven't broken yet. |
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| * **Every model is a reckless experiment.** If we aren't throwing incompatible weights into the blender just to see what happens, we aren't doing it right. |
| * **Every experiment generates raw data.** Even if that data is just a horrifying, abstract wall of digital noise. |
| * **Every catastrophic failure teaches us something.** Usually, it teaches us exactly how many custom LoRAs it takes to completely fry a latent space. |
| * **Every successful merge reveals another question.** Specifically: *"How did that actually work, and can we push it twice as hard next time?"* |
| * **Nothing is discarded.** Even the most unhinged, ridiculous prompts and the most deeply cursed, unexpected results are meticulously documented in the lab notes. |
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| ## FAQ |
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| #### How many chaos makers are running the show at Ars AI? |
| There used to be a couple of others, but then life happened. So currently, you're looking at a grand total of one solo chaos maker steering this entire ship into the latent unknown. |
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| #### Do you have a chaotic team backing you up? |
| Team? Not yet. As of right now, Ars AI is entirely powered by one overly curious hobbyist, a single MSI RTX 3060 Gaming X 12GB fighting for its absolute life in the rendering trenches, and an aggressively unhealthy amount of coffee. |
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| *(Yes, I used to have an ASUS ROG Strix 3090, but we're back in the trenches now, proving the "Random Bullshit, Go!" philosophy works on a 12GB card.)* |
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| #### What motivates your 'research'? |
| **Officially:** |
| > **We're throwing models into a blender and running cyclical training loops strictly for the shits and giggles.** |
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| *(And honestly, seeing if we can get a 12GB VRAM card to punch in the heavyweight class is half the fun.)* |
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| Somehow... it keeps producing decent models. |
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| ## Acknowledgments & Thanks |
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| 1. **Someone Very Significant** |
| 2. [OnomaAIResearch](https://huggingface.co/OnomaAIResearch) |
| 3. [Cagliostro Labs](https://huggingface.co/cagliostrolab) |
| 4. [nukeai1106](https://civitai.red/user/nukeai1106) |
| 5. [GoofyAI](https://civitai.red/user/Goofy_Ai) |
| 6. [Raelina](https://huggingface.co/raelina) |
| 7. [DaoOwOarts](https://pixai.art/en/@dao0w0arts/artworks) |
| 8. [Kohya_ss](https://github.com/bmaltais/kohya_ss) |
| 9. [SeaArt AI](https://www.seaart.ai/) |
| 10. [PixAI](https://pixai.art/) |
| 11. [Moescape AI](https://moescape.ai/) |
| 12. [Civitai](https://civitai.com/) |
| 13. [Comte](https://civitai.red/user/Comte) |
| 14. [Minthybasis](https://civitai.red/user/Minthybasis) |
| 15. [WAI0731](https://civitai.red/user/WAI0731) |
| 16. And the entire generative AI community! |
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| *"Beyond the Visible."* |
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| > *There is no final model. Only the next experiment.* |
