Instructions to use dekes1/cindycfr11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dekes1/cindycfr11 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/cindycfr11") prompt = "A futuristic cyberpunk city street drenched in neon rain, where a sleek metallic android stands under a holographic billboard cindycfr11." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fbc84a8b7930566d6aab770c22fff9ed89c4ee1a606056ce66940926576077a0
- Size of remote file:
- 195 MB
- SHA256:
- e82f9aca2ad3c68402cdbf477e019ddfe260b1ffdc17e889e1df56328b980f30
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