Instructions to use Rand000mGuy/Natia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/Natia with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/Natia") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
NatiaKleinLora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f9175d5c07ea84567f0c93cf6127fb21c730c73180a25253d97ee911aba4a8a
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size 165704440
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images/Captura de pantalla 2026-06-11 a las 7.42.06.png
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Git LFS Details
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