import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-4.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("milpu02/mixmilpu03")
prompt = "-"
image = pipe(prompt).images[0]mixmilpu03
- Prompt
- -
Model description
Trigger words
You should use milpumaax5 to trigger the image generation.
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Model tree for milpu02/mixmilpu03
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
cagliostrolab/animagine-xl-4.0