Instructions to use VERUMNNODE/OS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VERUMNNODE/OS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("google/magenta-realtime,THUDM/GLM-4.1V-9B-Thinking,moonshotai/Kimi-K2-Instruct,tencent/Hunyuan-A13B-Instruct,nanonets/Nanonets-OCR-s", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("VERUMNNODE/OS") 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
Update README.md
Browse fileskaggle kernels output nina6923/notebook15ab497e3e -p /path/to/dest
README.md
CHANGED
|
@@ -234,3 +234,4 @@ If you use this model in your research or projects, please cite:
|
|
| 234 |
publisher={Hugging Face},
|
| 235 |
url={https://huggingface.co/VERUMNNODE/OS}
|
| 236 |
}
|
|
|
|
|
|
| 234 |
publisher={Hugging Face},
|
| 235 |
url={https://huggingface.co/VERUMNNODE/OS}
|
| 236 |
}
|
| 237 |
+
kaggle kernels output nina6923/notebook15ab497e3e -p /path/to/dest
|