Instructions to use xFutureTechx/2026_Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/2026_Loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/2026_Loras", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Yes i had RSD and retired for a bit but i'm back and i gotta get my main account BACK into the KNX Repo
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Used this: https://github.com/Ktiseos-Nyx/Ktiseos-Nyx-Trainer/ - Via RunPod and VastAI.
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Check this: https://huggingface.co/EarthnDusk
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Commissions aren't QUITE open yet but feel free to hang out with us!
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Also SOME OF THESE LORAS ARE NOT SAFE FOR ALL AUDIENCES - it'll be marked on the folder.
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Join us on this journey. Welcome to Ktiseos Nyx.
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Our Discord Invite Link: https://discord.gg/HhBSvM9gBY
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How to support:
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Yes i had RSD and retired for a bit but i'm back and i gotta get my main account BACK into the KNX Repo, so I made a new ORG temporarily. Commissions aren't QUITE open yet but feel free to hang out with us! Also SOME OF THESE LORAS ARE NOT SAFE FOR ALL AUDIENCES - it'll be marked on the folder.
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Join us on this journey. Welcome to Ktiseos Nyx.
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Our Discord Invite Link: https://discord.gg/HhBSvM9gBY
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All loras are trained via: https://github.com/Ktiseos-Nyx/Ktiseos-Nyx-Trainer/
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Check this: https://huggingface.co/EarthnDusk
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How to support:
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