Instructions to use itspoidaman/qwenglitch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use itspoidaman/qwenglitch 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("itspoidaman/qwenglitch") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
qwenglitch

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Model description
Qwenglitch lora,
Trained on 78 images at ~4k steps on FAL
works best with short prompts
Trigger words
You should use qwenglitch to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for itspoidaman/qwenglitch
Base model
Qwen/Qwen-Image