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/jgrise")
prompt = "JGrise ,a woman wearing tank dress, sahara, (bounced lighting:0.5) <lora:JGrise:0.8>"
image = pipe(prompt).images[0]jgrise
- Prompt
- JGrise ,a woman wearing tank dress, sahara, (bounced lighting:0.5) <lora:JGrise:0.8>
- 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 jgrise to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
runwayml/stable-diffusion-v1-5