Instructions to use Kamsio/Armstrongr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kamsio/Armstrongr with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen2.5-7B-Instruct", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kamsio/Armstrongr") prompt = "robot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
7b armstrong

- Prompt
- robot
- Negative Prompt
- dog
Download model
Download them in the Files & versions tab.
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