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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Check this: https://huggingface.co/EarthnDusk
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How to support:
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Patreon: https://www.patreon.com/earthndusk
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Membership: https://ko-fi.com/earthnicity
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Membership / Ko-Fi: https://ko-fi.com/OTNAngel/
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Buy Me A Pizza/Coffee: https://www.buymeacoffee.com/duskfallxcrew
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Merchandise: https://duskfallcrew-shop.fourthwall.com/
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PixAi Referral: https://pixai.art/referral?refCode=BRU9AUNA
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Rent Serverless GPU with VastAI: https://cloud.vast.ai/?ref_id=70354
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Original trainer didn't want to still continue with AI, and so this is a shuffle off rather than a SCRAPE.
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Models won't eventualy be available other than in this repo.
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However, due to the fact that the original trainer is likely to be LEAVING their posts at certain sites: Reuploading is fine.
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... just for gods sakes don't link back this time LOL.
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All loras are trained via: https://github.com/Ktiseos-Nyx/Ktiseos-Nyx-Trainer/
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Rent Serverless GPU with VastAI: https://cloud.vast.ai/?ref_id=70354
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