Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use yoonlee/csProjectStyle13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yoonlee/csProjectStyle13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yoonlee/csProjectStyle13", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 26d19df1bcd058e57ac8d9877feb79165cc0d39dd6b895b23c069ade7f45becc
- Size of remote file:
- 492 MB
- SHA256:
- 33a4c6df788d033490632cf24a13592d78e91186f24ad42fef1e5075d426ade0
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