retrofuturism-atompunk

Atompunk Retrofuturism SDXL LoRA: Atomic Age Illustration

What it does

This LoRA model captures the essence of Atompunk Retrofuturism, a nostalgic vision of the future from the mid-20th century. It brings to life elements like streamlined jet packs, saucer-shaped cars, and atomic motifs in bold primary colors.

How to use

To apply this style, include the trigger word '4tompunk' in your prompt. A suggested strength between 0.75 and 1.0 will enhance your images effectively; try using a DDIM sampler with around 25 steps for best results.

Best for

• Creating futuristic scenes set in an atomic-age world
• Illustrating retrofuturistic posters or advertisements from the era
• Designing sleek, chrome-heavy furniture and vehicles
• Depicting advanced technology with a mid-century aesthetic
• Bringing to life classic sci-fi themes like alien landscapes and space exploration

Tips

Ensure your base model supports 'LoRA' and that you're using a compatible version of Stable Diffusion. Experiment with different samplers and steps for unique outcomes.

Example Prompts

4tompunk A portrait of a smiling scientist in a lab coat with goggles, standing next to an atomic reactor, soft lighting, warm mood

4tompunk Googie architecture scene: a futuristic diner and gas station at night, neon lights glowing, vibrant colors, dynamic composition

4tompunk Streamlined ray gun with chrome accents and atomic motifs, resting on a retrofuturistic table, clean lines, dramatic shadows, cool mood

4tompunk A man in a spacesuit jumps from a rocket ship, jet pack activated, launching into space, mid-action pose, futuristic cityscape backdrop

4tompunk Moody atmosphere in an abandoned 1950s-style research facility, dim lighting, eerie shadows, nostalgic yet unsettling mood

4tompunk Abstract representation of atomic energy: swirling colors and shapes, bright primary hues with metallic sheen, dynamic composition

Trigger word

Activate with 4tompunk. Recommended strength: 0.9.

Showcase

Usage with diffusers

from diffusers import AutoPipelineForText2Image
import torch

pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("strkyyy/retrofuturism-atompunk")
image = pipe("4tompunk, your prompt", num_inference_steps=30).images[0]