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--- |
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license: creativeml-openrail-m |
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base_model: Lykon/DreamShaper |
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tags: |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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- text-to-image |
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- diffusers |
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- controlnet |
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inference: true |
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datasets: |
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- artificialhoney/graffiti |
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--- |
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# artificialhoney/graffiti |
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These are **controlnet** weights trained on [Lykon/DreamShaper](https://huggingface.co/Lykon/DreamShaper) with a dataset from [artificialhoney/graffiti](https://huggingface.co/datasets/artificialhoney/graffiti). |
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You can create pretty pieces by passing an input sketch image to controlnet. |
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A good resource for tag fonts is [dafont.com](https://www.dafont.com/theme.php?cat=606). |
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## Usage |
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Following examples use a CLI to **diffusers**, which you can find on [GitHub](https://github.com/artificialhoney/giger): |
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```bash |
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# Define base prompt |
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prompt="graffiti on black background, in the colors purple and yellow" |
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``` |
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```bash |
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# Extend prompt and add compel syntax (https://github.com/damian0815/compel) |
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prompt=$(giger prompt "$prompt" --rendering_engine "Octane Render" --lightning_style "Cinematic" --resolution "8k" --compel_style "subtle") |
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# ('graffiti on black background, in the colors purple and yellow', 'Octane Render, Cinematic, 8k').and() |
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``` |
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```bash |
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# Generate image |
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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 |
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``` |
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## Examples |
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### Graffiti on black background, in the colors purple and yellow |
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### Graffiti on black background, in the colors purple and yellow, by 1Up Crew |
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