Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use pharmapsychotic/gwsi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pharmapsychotic/gwsi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pharmapsychotic/gwsi", dtype=torch.bfloat16, device_map="cuda") prompt = "gwsi necromancer" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download examples/war3-gwsi_warrior_chain_break.jpg from pharmapsychotic/gwsi: direct link, hf CLI and curl.
- Browser
- Download file 36.7 kB
-
https://huggingface.co/pharmapsychotic/gwsi/resolve/main/examples/war3-gwsi_warrior_chain_break.jpg
- Command line
-
hf download hf://pharmapsychotic/gwsi/examples/war3-gwsi_warrior_chain_break.jpg
-
curl -L -o war3-gwsi_warrior_chain_break.jpg https://huggingface.co/pharmapsychotic/gwsi/resolve/main/examples/war3-gwsi_warrior_chain_break.jpg
36.7 kB
