Instructions to use erens/GhostShellStyleV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use erens/GhostShellStyleV2 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/GhostShellStyleV2", 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
File size: 678 Bytes
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ghostshell Dreambooth model trained by erens with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook

gits, masterpiece,oil painting in the style of gits,(street view) dramatic lighting, high quality, detailed art, global illumination, Highly Detailed, Trending on ArtStation, (detailed background, high quality, highres, 4k, UHD), (detailed buildings, highly detailed city)
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