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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library_name: diffusers
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tags:
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- art
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- not-for-all-audiences
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---
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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
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Check this: https://huggingface.co/EarthnDusk
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No promises if these work, this is for a long standing commission.
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IF this works, we will re-open commissions within reason.
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library_name: diffusers
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tags:
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- art
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---
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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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No promises if these work, this is for a long standing commission.
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IF this works, we will re-open commissions within reason.
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Also SOME OF THESE LORAS ARE NOT SAFE FOR ALL AUDIENCES
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But most of them are fine, i'll eventually clean up the space once those are tested.
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