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:
- 69035ac4193e273f21551fa17703af851bf81005e8e0eaef07967d9b825b96bf
- Size of remote file:
- 492 MB
- SHA256:
- d9ca9e90ea43779c87c748c398353a0c757f21250807c092ce92a350eadb17be
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