Instructions to use dekes1/cindycfr30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dekes1/cindycfr30 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/cindycfr30") prompt = "A futuristic neon cyberpunk cityscape at midnight, where a sleek android figure cindycfr30 stands under a holographic umbrella in the pouring rain." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f875de6ad2b9e97559bba7b3e265380d9482d5dcf8eea258a2229f59258db37b
- Size of remote file:
- 195 MB
- SHA256:
- 2041265d828fd3f5c0f1e9eb1c3100f0c11c2e73e18d7ff88793a607e4bde5fc
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