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("terworld/Jenna_Ortega_as_Wednesday")
prompt = "Jenna_Ortega, <lora:Jenna_Ortega:1>, full body Epic Fantasy Painting of supergirl, face with bloom by Sandro Botiicelli, Renaud Matgen, head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting"
image = pipe(prompt).images[0]Jenna Ortega
- Prompt
- Jenna_Ortega, <lora:Jenna_Ortega:1>, full body Epic Fantasy Painting of supergirl, face with bloom by Sandro Botiicelli, Renaud Matgen, head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting
Trigger words
You should use Jenna Ortega 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
- 239
Model tree for terworld/Jenna_Ortega_as_Wednesday
Base model
stabilityai/stable-diffusion-xl-base-1.0