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
- Xet hash:
- 49270ed67e3a2255446139e67e419061aa8f9df584cdbc64e62fda9faa1db095
- Size of remote file:
- 186 MB
- SHA256:
- 06cb5a865846d724b3cd30be0ec8f6d8987194532e76fc8c2e8fbb101ff3b828
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