Instructions to use dekes1/cindycfr17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dekes1/cindycfr17 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/cindycfr17") prompt = "A futuristic cyberpunk city street drenched in neon rain, featuring a high-tech android subject cindycfr17 leaning against a holographic billboard." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b1bc4c7833dd542da1a7799d20c31f203e5cd6e7f8b66a8dbd1dfefcca8c3b78
- Size of remote file:
- 195 MB
- SHA256:
- fe16d93989bf54306d6a2083014c1f3d496a9265c1bd1c6ccf57b65bad8e0645
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