Instructions to use pookienumnums/gyrlz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pookienumnums/gyrlz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pookienumnums/gyrlz") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
gyrlz

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Model description
This lora was trained on a very specific style with kawaii illustrative girls as the subject matter. It can be pushed into doing a variety of subjects and situations but youll need to weight up the prompt elements accordingly.
youll want to add signature and watermark to the negative prompt
Trigger words
You should use gyrlz to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for pookienumnums/gyrlz
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5