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
qwen 2.1 loras

- Prompt
- ASCIISignature: ehz6qSIvgM+okkiAHcQe+7v5Ql1x8AWilU+TUbjikJ/w6Qy4Qo6VRHuQvYgydZPjWFJxT8a8fM/1gA4JrsGvo9q5R5sAIKjFOqDE5jI0Jaed/eD5X1PDhKWtpBAeYJK1cUhfDVOpURZHTEdYiArF1XAJxLC5ALBDKl2v44ws/SI=

- Prompt
- ASCIISignature: 4utmI+GwaUfh/Ru/g69XYXIcEAAyO71mV8Ubra15nurIwmOf+gcPRrQ3dUyPDiDbtEKWBbQcRMxVJICB7R4d1qu75aDLfM6Uq7WIb3zXq8o4ASfodMMDUqTHJzsECiGmRdP8beHL/VxWqkPtym1bbRTC6orC34brGtVFr6Q5Aag=

- Prompt
- -
Model description
loras
Trigger words
You should use jess to trigger the image generation.
You should use mycock to trigger the image generation.
You should use amb3r to trigger the image generation.
Download model
Download them in the Files & versions tab.
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