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:
- c91b4bc94f5715c0004de8c04d5ef8145102f21364a751809b19d4089bf6e155
- Size of remote file:
- 1.97 GB
- SHA256:
- e9ead5bea47036dacc5e2723f79dd5ab09d3e324a263ad6af996b0dae6f85569
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