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 unet/diffusion_pytorch_model.bin from Sygil/Sygil-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Sygil/Sygil-Diffusion/resolve/refs%2Fpr%2F6/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Sygil/Sygil-Diffusion@refs/pr/6/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Sygil/Sygil-Diffusion/resolve/refs%2Fpr%2F6/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 5066b72fa8f4cc68a537b5d405114f78b1f5e38212f5a61be8fd38141e3f9f58
- Size of remote file:
- 3.44 GB
- SHA256:
- 6eb64ad8b80f9ee64a2f44e1eccc0508686702273afbf573e032966f1006cb83
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