Instructions to use dekes1/cindycfr12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dekes1/cindycfr12 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/cindycfr12") prompt = "A photo of cindycfr11 on a wooden table indoors." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f99106d31ab862ab4365f753e2a44822a650c6a42e6ea7b8858697b4f7b6f380
- Size of remote file:
- 195 MB
- SHA256:
- 1a027caa07786e59def23f22c1e28f6c7a771361c26670455bb164b759d6aa38
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