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("thatboymentor/Zimageturbo")
prompt = "-"
image = pipe(prompt).images[0]Realistic Loras Zimageturbo
- Prompt
- -
Model description
Lora Stack V4 is needed for these lore data to work well together. Realistic V5 snapshot - strength 0.6 - 0.7 zit_fdpo_v1 - strength 0.8-1 Good luck, brothers
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Tongyi-MAI/Z-Image-Turbo