Instructions to use AlexCrisan/qwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexCrisan/qwen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Charlie2134/qwen2512", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlexCrisan/qwen") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/wan2_2_14B_t2v_example.png
text: '-'
base_model: Charlie2134/qwen2512
instance_prompt: qwen
license: unknown
qwen 2512

- Prompt
- -
Trigger words
You should use qwen to trigger the image generation.
Download model
Download them in the Files & versions tab.