Instructions to use ShabanEjupi/ghbony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShabanEjupi/ghbony with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShabanEjupi/ghbony", 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
ghbony Dreambooth model trained by Qabidev
Sample pictures of this concept:
prompt ghbony, create a full-body character concept of a steampunk explorer, featuring intricate mechanical gadgets and a weathered, detailed outfit.

prompt ghbony, craft a character concept of a wise old wizard with a long, flowing beard, clutching an ancient, ornate staff in a misty, enchanted forest.

prompt ghbony, classic cartoon style, dynamic action pose, vibrant colors

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