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("gz8iz/Robert_Habeck")
prompt = "rha bre in front of a green background, perfect symmetry, glowing, vivid color, sharp focus, intricate, elegant, confident, futuristic, highly detailed, deep aesthetic, sunny, shiny, magical, light, real, full detail, cinematic, professional, winning, smart, romantic, fertile, beautiful, attractive, singular, focused, loving, best, bright, optimistic"
image = pipe(prompt).images[0]Robert Habeck
- Prompt
- rha bre in front of a green background, perfect symmetry, glowing, vivid color, sharp focus, intricate, elegant, confident, futuristic, highly detailed, deep aesthetic, sunny, shiny, magical, light, real, full detail, cinematic, professional, winning, smart, romantic, fertile, beautiful, attractive, singular, focused, loving, best, bright, optimistic
- Negative Prompt
- unrealistic, saturated, high contrast, big nose, painting, drawing, sketch, cartoon, anime, manga, render, CG, 3d, watermark, signature, label
Model description
just a LORA of Robert Habeck
Trigger words
You should use rha to trigger the image generation.
You should use bre 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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Model tree for gz8iz/Robert_Habeck
Base model
stabilityai/stable-diffusion-xl-base-1.0