Instructions to use D33pStateTech/aznten-Qwen-Image-2512-Lora-WaveSpeed-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use D33pStateTech/aznten-Qwen-Image-2512-Lora-WaveSpeed-AI 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-2512", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("D33pStateTech/aznten-Qwen-Image-2512-Lora-WaveSpeed-AI") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
aznten-Qwen-Image-2512-Lora-WaveSpeed-AI

- Prompt
- -
Model description
Lora trained on WaveSpeed.AI, 2500 steps, 24 Lora Rank. For Qwen-Image-2512
Trigger words
You should use aznten to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for D33pStateTech/aznten-Qwen-Image-2512-Lora-WaveSpeed-AI
Base model
Qwen/Qwen-Image-2512