import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("coversia21/RVCVenom")
prompt = "-"
image = pipe(prompt).images[0]
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Model tree for coversia21/RVCVenom
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stabilityai/stable-diffusion-xl-base-1.0 Finetuned
Linaqruf/animagine-xl-2.0 Finetuned
cagliostrolab/animagine-xl-3.0