Instructions to use falgasdev/zitronstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use falgasdev/zitronstyle 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("falgasdev/zitronstyle") prompt = "masterpiece, best quality, anime coloring, anime screencap," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
zitronstyle

- Prompt
- masterpiece, best quality, anime coloring, anime screencap,
- Negative Prompt
- blurry ugly bad
Download model
Download them in the Files & versions tab.
- Downloads last month
- 4
Model tree for falgasdev/zitronstyle
Base model
Tongyi-MAI/Z-Image-Turbo