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artificialhoney/graffiti

These are controlnet weights trained on Lykon/DreamShaper with a dataset from artificialhoney/graffiti.

You can create pretty pieces by passing an input sketch image to controlnet.

Sketch

A good resource for tag fonts is dafont.com.

Usage

Following examples use a CLI to diffusers, which you can find on GitHub:

# Define base prompt
prompt="graffiti on black background, in the colors purple and yellow"
# Extend prompt and add compel syntax (https://github.com/damian0815/compel)
prompt=$(giger prompt "$prompt" --rendering_engine "Octane Render" --lightning_style "Cinematic" --resolution "8k" --compel_style "subtle")
# ('graffiti on black background, in the colors purple and yellow', 'Octane Render, Cinematic, 8k').and()
# Generate image
echo "$prompt" | giger image --output ./graffiti --name sketch --seed 0 --batch_count 10 --width 768 --height 432 --lora_model "OedoSoldier/detail-tweaker-lora" --lora_filename "add_detail.safetensors" --lora_scale 0.75 --input ./images/sketch.png --controlnet_model "artificialhoney/graffiti" --controlnet_conditioning_scale 0.45

Examples

Graffiti on black background, in the colors purple and yellow

Seed 00 Seed 03

Graffiti on black background, in the colors purple and yellow, by 1Up Crew

Seed 13 Seed 17

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Lykon/DreamShaper
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Dataset used to train artificialhoney/graffiti

Space using artificialhoney/graffiti 1