Instructions to use XGGGV/DZQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XGGGV/DZQ with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("XGGGV/DZQ") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
dzqv1

- Prompt
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Model description
我个人认为最少要使用Lora:1.2 ,才会达到像的效果 I personally believe that at least Lorax version 1.2 is needed to achieve the same effect.
Trigger words
You should use dengziqi to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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