Instructions to use ghostai1/GHOSTSONA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ghostai1/GHOSTSONA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ghostai1/GHOSTSONA", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,7 +8,7 @@ pipeline_tag: text-to-audio
|
|
| 8 |
library_name: diffusers
|
| 9 |
language: [en, zh, de, fr, es, it, pt, pl, tr, ru, cs, nl, ar, ja, hu, ko, hi]
|
| 10 |
---
|
| 11 |
-
|
| 12 |
# PhantomStep: The Ultimate Music Generation Foundation Model �
|
| 13 |
|
| 14 |

|
|
|
|
| 8 |
library_name: diffusers
|
| 9 |
language: [en, zh, de, fr, es, it, pt, pl, tr, ru, cs, nl, ar, ja, hu, ko, hi]
|
| 10 |
---
|
| 11 |
+
FORKED TO https://huggingface.co/ghostai1/GHOSTSONAFB redoing this for BARK plus intsrumental math + music + AI really difficult :P
|
| 12 |
# PhantomStep: The Ultimate Music Generation Foundation Model �
|
| 13 |
|
| 14 |

|