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
Commit ·
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Parent(s): 586b6ca
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README.md
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license: creativeml-openrail-m
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---
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license: creativeml-openrail-m
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datasets:
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- EarthnDusk/XL_PDXL_Embeddings
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language:
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- en
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base_model:
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- OnomaAIResearch/Illustrious-xl-early-release-v0
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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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