Instructions to use Quantumbraid/qwen.loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Quantumbraid/qwen.loras 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/Qwen-Image-2.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Quantumbraid/qwen.loras") prompt = "ASCII\u0000\u0000\u0000Signature: ehz6qSIvgM+okkiAHcQe+7v5Ql1x8AWilU+TUbjikJ/w6Qy4Qo6VRHuQvYgydZPjWFJxT8a8fM/1gA4JrsGvo9q5R5sAIKjFOqDE5jI0Jaed/eD5X1PDhKWtpBAeYJK1cUhfDVOpURZHTEdYiArF1XAJxLC5ALBDKl2v44ws/SI=" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- images
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