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("jbern3812947/Test-Anime-Style-ZIT-LoRA")
prompt = "-"
image = pipe(prompt).images[0]Test Anime Style ZIT LoRA
- Prompt
- -
- Prompt
- -
- Prompt
- -
- Prompt
- -
Model description
Experimental test LoRA for creating anime style images. Appears to be mono-style for the most part.
Works better with detailed prompts.
Recommended LoRA Strength: 0.8-1.2
*Has a chance to create more realistic images due to training issues.
Trained on a rather crude dataset consisting of 55 promptless images from WAI-illustrious-SDXL.
Dataset was captioned by Florence2.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 15
Model tree for jbern3812947/Test-Anime-Style-ZIT-LoRA
Base model
Tongyi-MAI/Z-Image-Turbo