Instructions to use dekes1/cindycfr13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dekes1/cindycfr13 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/cindycfr13") prompt = "A golden labrador running across a sunny farm, a pickup truck on a dusty road far behind, cindycfr11" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0b15e2d6041d7d5021889660057a853c310aaadce273937134863c402c7c81fc
- Size of remote file:
- 195 MB
- SHA256:
- 99ecbaf5e9d7c94df458d0b4ecc5902a20efbda7590bfc34077dbd47b2069413
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