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:
- 69fa31d772e1893ccabbf997b167f64bd7e0c418337902bd875006bf03c4c798
- Size of remote file:
- 195 MB
- SHA256:
- eba32dc427e047a6140f6bf45b73480afbce31fe84fda084693eca66cce91ddb
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