Instructions to use dekes1/cindycfr16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dekes1/cindycfr16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dekes1/cindycfr16") prompt = "A hyper-realistic portrait of cindycfr16 as a neon-lit cyberpunk hacker in a rain-slicked futuristic Tokyo alleyway." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1b952b1ad2865f28d03d3a4abecd870f6b84838f0287b70cb1839e07d8eb69ab
- Size of remote file:
- 195 MB
- SHA256:
- da30404e7521b4a0c8494b6ef458760a6c2cb4ad854aff013ae061db4ee0f8d3
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