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:
- 82add5de26280944105a8452aedbdbc065f7c8da810ab38390d5c0757f59695b
- Size of remote file:
- 195 MB
- SHA256:
- 9118196b4cffa05dcc328dcbce269d1b6cc2670cd8736d13b98cf410c63d6f04
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