Text-to-Image
Diffusers
English
StableDiffusionPipeline
Asian
China
Character
stable-diffusion
aiart
Instructions to use DGSpitzer/Guan-Yu-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DGSpitzer/Guan-Yu-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("DGSpitzer/Guan-Yu-Diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from DGSpitzer/Guan-Yu-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/DGSpitzer/Guan-Yu-Diffusion/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://DGSpitzer/Guan-Yu-Diffusion@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DGSpitzer/Guan-Yu-Diffusion/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 1366cc5b5831f3fb3e923820bed10f8daf84d56b11f8df0e40b109a297816c15
- Size of remote file:
- 492 MB
- SHA256:
- e625274982e82856ea4ab42a1fdee5c5bf4010044087d090ac7445221be9c408
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