import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("cjsaveas-org/Ghostbuster")
prompt = "ghostbuster uniform, large breasts, wide hips, indoors, full body, hotel room, protopack, holding weapon, energy gun, lightning, visor cap, furrowed brow, <lora:Ghostbuster5:0.6>"
image = pipe(prompt).images[0]Ghostbuster
- Prompt
- ghostbuster uniform, large breasts, wide hips, indoors, full body, hotel room, protopack, holding weapon, energy gun, lightning, visor cap, furrowed brow, <lora:Ghostbuster5:0.6>
Model description
Ghostbuster
Trigger words
You should use <lora:Ghostbuster5:0.6> to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 3
Model tree for cjsaveas-org/Ghostbuster
Base model
stabilityai/stable-diffusion-xl-base-1.0