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("agmjd/gf2style")
prompt = "UNICODE\u0000\u0000g\u0000f\u00002\u0000s\u0000t\u0000y\u0000l\u0000e\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000G\u0000F\u00002\u0000s\u0000t\u0000y\u0000l\u0000e\u0000-\u00000\u00000\u00000\u00000\u00000\u00008\u0000:\u00001\u0000>\u0000"
image = pipe(prompt).images[0]YAML Metadata Error:"base_model" is not allowed to be empty
https://civitai.com/models/684546/girls-frontline-2-3d-model-style
- Prompt
- UNICODEgf2style <lora:GF2style-000008:1>
Trigger words
You should use gf2style to trigger the image generation.
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