Text-to-Image
Diffusers
English
lora
stable-diffusion-xl
style
risograph
print
illustration
zine
indie
halftone
graphic-design
print-style
halftone-illustration
indie-design
zine-aesthetic
dotty-texture
limited-color-palette
color-misregistration
Instructions to use strkyyy/risograph-print with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strkyyy/risograph-print with Diffusers:
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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: openrail++ | |
| language: | |
| - en | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: r1sograph | |
| tags: | |
| - lora | |
| - stable-diffusion-xl | |
| - text-to-image | |
| - diffusers | |
| - style | |
| - risograph | |
| - illustration | |
| - zine | |
| - indie | |
| - halftone | |
| - graphic-design | |
| - print-style | |
| - halftone-illustration | |
| - indie-design | |
| - zine-aesthetic | |
| - dotty-texture | |
| - limited-color-palette | |
| - color-misregistration | |
| widget: | |
| - text: "r1sograph, illustration of a cat with sunglasses" | |
| - text: "r1sograph, mountain peak at sunrise" | |
| - text: "r1sograph, vintage car illustration" | |
| # 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 | |
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| ## Usage with `diffusers` | |
| ```python | |
| 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] | |
| ``` | |