OC Punk Flyer LoRA β€” Orange County California Punk Art Style

A LoRA fine-tune of SDXL 1.0 trained on Orange County, California punk rock flyer art from 1978–2000. Generates high-contrast Xerox-style collages, cut-and-paste zine aesthetics, skull/skeleton motifs, and Southern California beach-nihilism imagery in the visual language of the OC hardcore punk scene β€” the same DIY aesthetic behind bands like Social Distortion, The Offspring, Bad Religion, Agent Orange, and the entire Huntington Beach / Costa Mesa / Fullerton punk underground.

Trigger word: oc-punk-flyer

Example Generations

OC City Vibes

Huntington Beach β€” Surf Punk Huntington Beach β€” Pier Walk Costa Mesa β€” Strip Mall Decay
HB Surf Punk HB Pier Costa Mesa
Irvine β€” Tract Houses Santa Ana β€” Downtown Grit Orange β€” Old Towne
Irvine Santa Ana Orange
Tustin β€” Hangar Ruins Long Beach β€” Harbor Industrial Irvine β€” Suburban Sprawl
Tustin Long Beach Irvine Sprawl

Collages

Skulls & Hands Surf & Death Eyes
Skulls Hands Surf Death Eyes
Raised Fist TV Static Suburban Decay
Fists TV Static Suburban Decay
Anarchy Beach Punk Skate & Destroy
Anarchy Beach Punk Skate Destroy

Punk Portraits & Objects

Guitar Closeup Mohawk Portrait Mosh Pit
Guitar Mohawk Mosh Pit
Combat Boots Burning Suburbs Skeleton Beach
Boots Burning Suburb Skeleton Beach
Skater Punk Beach Nihilism Skulls Collage
Skater Beach Nihilism Skulls Collage

Usage

With Diffusers

import torch
from diffusers import StableDiffusionXLPipeline

pipe = StableDiffusionXLPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float16,
    variant="fp16",
)
pipe.load_lora_weights("cahlen/oc-punk-flyer-sdxl-lora")
pipe.set_adapters(["default_0"], adapter_weights=[0.4])
pipe.to("cuda")

image = pipe(
    prompt="oc-punk-flyer, collage of skulls and reaching hands, torn paper edges, xerox photocopy, high contrast, no text, no words, no letters",
    negative_prompt="text, words, letters, writing, typography, font, caption, label, title, headline, sign, logo, watermark, signature, blurry, photorealistic, photo, smooth gradients, 3d render, clean, modern, digital",
    width=768,
    height=1024,
    num_inference_steps=30,
    guidance_scale=7.5,
).images[0]

image.save("punk_art.png")

With ComfyUI / A1111

Load pytorch_lora_weights.safetensors as a standard SDXL LoRA. Use trigger word oc-punk-flyer in your prompt.

Recommended Settings

Parameter Recommended Notes
LoRA scale 0.3–0.5 Sweet spot for style without text artifacts. See guide below.
Resolution 768x1024 Portrait orientation works best (trained at 1024px)
CFG / Guidance 7.5 Standard SDXL guidance
Steps 25–30 Diminishing returns past 30
Sampler Euler a, DPM++ 2M Karras Standard SDXL samplers

LoRA Scale Guide

The most important parameter. Controls how much of the punk flyer style is applied:

Scale Effect Best For
0.3 Light style influence, very clean Crowd scenes, portraits β€” subjects that tend to trigger text
0.35 Moderate style, mostly clean General purpose, collages, city scenes
0.4 Strong style, good balance Collages, objects, landscapes β€” the default sweet spot
0.5 Full style, occasional text artifacts Skulls, skeletons, abstract subjects that don't trigger text
0.6+ Very strong, likely text artifacts Only for subjects that never trigger text (abstract, objects)

Text Suppression

This LoRA was trained on punk rock flyers which are inherently text-heavy. The model has learned to associate the style with text/typography elements. To generate clean art without garbled text:

  1. Use LoRA scale 0.3–0.4 (most important)
  2. Add to your prompt: no text, no words, no letters
  3. Add to negative prompt: text, words, letters, writing, typography, font, caption, label, title, headline, sign, logo, watermark, signature
  4. Avoid "performance" prompts β€” band-on-stage, concert venue, performer compositions strongly trigger text. Use object/scene/collage prompts instead.

Prompt Tips

  • Always start with the trigger word: oc-punk-flyer
  • Collage prompts work best: collage of [subjects], torn paper, xerox texture, high contrast
  • Object-focused prompts stay clean: guitars, boots, skateboards, buildings
  • Scene/landscape prompts work well: burning houses, beach scenes, urban decay, suburban sprawl
  • Add xerox/zine keywords to reinforce the style: xerox texture, xerox photocopy, punk zine, torn paper, cut-and-paste
  • Avoid: poster, flyer, banner, concert, show, performing (trigger text generation)

Training Details

Parameter Value
Base model stabilityai/stable-diffusion-xl-base-1.0
Framework SimpleTuner
LoRA rank / alpha 32 / 32
Optimizer Prodigy (auto-adjusting LR, initial 1.0)
Batch size x Accum 1 x 4 (effective batch 4)
Max steps 3,500
Precision bf16
SNR gamma 5
Noise offset 0.05
Caption dropout 0.20

Dataset

Metric Value
Sources Cornell Digital Library, Internet Archive
Raw scraped 2,351 punk flyer images
Curated Top 200 by programmatic scoring (entropy, contrast, B&W fraction, edge density, aspect ratio, resolution)
After preprocessing 402 images (200 original + 200 B&W augmentation + 2 multi-crop)
Repeats 2
Effective samples/epoch 804
Total epochs ~17.4
Caption strategy Instance prompt only (oc-punk-flyer) β€” style LoRAs learn better when captions describe content only

Why SDXL over FLUX

SDXL 1.0 (3.5B parameters) was chosen over FLUX (12B+) because FLUX's strong photorealistic prior overwhelms rank-32 style LoRAs. SDXL's smaller parameter count is more amenable to specialized art styles at practical LoRA ranks.

Style Reference

This LoRA captures the visual language of Orange County punk/hardcore flyers from 1978–2000:

  • High-contrast Xerox aesthetic β€” photocopied, degraded, raw
  • Cut-and-paste collage β€” torn paper, magazine cutouts, layered imagery
  • Skull/skeleton motifs β€” the universal punk visual shorthand
  • Beach nihilism β€” palm trees, surf culture subverted with death imagery
  • Suburban decay β€” tract houses, strip malls, power lines, OC sprawl
  • DIY zine culture β€” hand-drawn, rough, anti-commercial

License

This LoRA inherits the CreativeML OpenRAIL-M license from the SDXL base model.

Acknowledgments

Training data sourced from public digital archives (Cornell Digital Library, Internet Archive). This LoRA is a tribute to the OC punk and hardcore community and their extraordinary DIY visual culture.

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