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("wolfer45/cfgqualityboost-zit")
prompt = "-"
image = pipe(prompt).images[0]cfgqualityboost-zit
- Prompt
- -
Model description
cfgqualityboost-zit
Trigger words
You should use cfgqualityboost-zit to trigger the image generation.
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Base model
Tongyi-MAI/Z-Image-Turbo