Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
sygil-diffusion
sygil-devs
finetune
stable-diffusion-1.5
Instructions to use Sygil/Sygil-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sygil/Sygil-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sygil/Sygil-Diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "environment art, realistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Old from Sygil/Sygil-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
-
https://huggingface.co/Sygil/Sygil-Diffusion/resolve/refs%2Fpr%2F1/Old
- Command line
-
hf download hf://Sygil/Sygil-Diffusion@refs/pr/1/Old
-
curl -L -o Old https://huggingface.co/Sygil/Sygil-Diffusion/resolve/refs%2Fpr%2F1/Old
0 Bytes