Instructions to use erens/GhostShellStyleV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use erens/GhostShellStyleV1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("erens/GhostShellStyleV1", 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 unet/diffusion_pytorch_model.bin from erens/GhostShellStyleV1: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/erens/GhostShellStyleV1/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://erens/GhostShellStyleV1/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/erens/GhostShellStyleV1/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 8a78d58d34e27565eba12215cabdc81db188ac1317c354d30455425a5a695194
- Size of remote file:
- 3.44 GB
- SHA256:
- 666b60c8fbd9c08866306f06196de7f68801cf74a81c514086b9f8c245e289c2
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