import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Baphomet66six/z-image_yas111_v2")
prompt = "-"
image = pipe(prompt).images[0]YAML Metadata Error:"base_model" is not allowed to be empty
yas111
.jpg)
- Prompt
- -
Model description
yas111
Trigger words
You should use yas111 to trigger the image generation.
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