import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("MarkBW/julzzess")
prompt = "<lora:Julzzess:0.9>, Julzzess,a woman wearing knit sweater and skirt, attic, (natural lighting:0.5)"
image = pipe(prompt).images[0]julzzess
- Prompt
- <lora:Julzzess:0.9>, Julzzess,a woman wearing knit sweater and skirt, attic, (natural lighting:0.5)
- Negative Prompt
- paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), bad-hands-5 easynegative verybadimagenegative_v1.3
Trigger words
You should use julzzess 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 MarkBW/julzzess
Base model
runwayml/stable-diffusion-v1-5