Instructions to use jarod2212/Unity_Spectrum_XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jarod2212/Unity_Spectrum_XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SDXL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jarod2212/Unity_Spectrum_XL") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
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README.md
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- output:
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url: images/ec3e25a8ea59b942939801d845b92eec.jpg
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text: '-'
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base_model: ''
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instance_prompt: usxl
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license: creativeml-openrail-m
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---
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- output:
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url: images/ec3e25a8ea59b942939801d845b92eec.jpg
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text: '-'
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base_model: 'SDXL'
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instance_prompt: usxl
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license: creativeml-openrail-m
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---
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