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
- Xet hash:
- 4e330b640d52b17d1eec3284488f73c652c998736a8a46282006b88c07acddaa
- Size of remote file:
- 100 MB
- SHA256:
- fb75a3e2cfc2533e18fe64516899c99cd40b8b66e0feda6789efa9cf96eb3ac2
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