How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
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("strkyyy/risograph-print")

prompt = "r1sograph, illustration of a cat with sunglasses"
image = pipe(prompt).images[0]

Risograph Print Style for SDXL LoRA

What it does

Capture the unique aesthetic of risograph printing with this LoRA model. It emulates limited spot color palettes, characteristic dotty halftone texture, subtle misregistration, and visible paper grain.

How to use

Apply the trigger word 'r1sograph' in your prompt for instant results. A suggested strength between 0.65 and 0.85 works well with most samplers; try 20-30 steps for optimal detail.

Best for

  • Illustrations of cats, cars, or other subjects in a vintage style
  • Abstract compositions featuring geometric shapes
  • Nature scenes like mountains at sunrise
  • Zines and indie design projects needing a retro feel
  • Adding a unique texture to any artwork

Tips

  • Use 'r1sograph' sparingly for best results. Overuse can muddy the image.
  • Combine with other LoRAs or styles for hybrid effects.

Example Prompts

r1sograph A portrait of a young artist in low light, with moody tones and visible paper grain.
r1sograph An industrial scene at dusk, showcasing the dotty halftone texture on rusty metal surfaces.
r1sograph A coffee mug on a desk, vibrant colors and misregistration adding charm to everyday objects.
r1sograph A skateboarder grinding a rail in action, dynamic motion captured with limited color palette.
r1sograph An atmospheric evening street scene, soft lighting highlighting the dotty texture of buildings.
r1sograph Abstract shapes and patterns swirling together, creating an engaging visual experience.

Trigger word

Activate with r1sograph. Recommended strength: 0.9.

Showcase

showcase 1 showcase 2 showcase 3 showcase 4 showcase 5 showcase 6 showcase 7 showcase 8

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/risograph-print")
image = pipe("r1sograph, your prompt", num_inference_steps=30).images[0]
Downloads last month
8
Inference Providers NEW
Examples

Model tree for strkyyy/risograph-print

Adapter
(8393)
this model