Instructions to use ciover2024/CloxyGirl1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ciover2024/CloxyGirl1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ciover2024/CloxyGirl1") prompt = "cloxygirl1" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ciover2024/CloxyGirl1")
prompt = "cloxygirl1"
image = pipe(prompt).images[0]Trigger words
You should use cloxygirl1 to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 117
Model tree for ciover2024/CloxyGirl1
Base model
Tongyi-MAI/Z-Image-Turbo