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", 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:
- ac6ec343d38e7b86d1f8324bd54a61da931aa9faff6d416f515678c904a8dab5
- Size of remote file:
- 3.44 GB
- SHA256:
- 1a2cd3e71e874d354229be468e36f475ae7e5732541ce8fdde7ff84862f65752
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