Instructions to use Ingi/SCR33N_SDXL_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ingi/SCR33N_SDXL_V1 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("Ingi/SCR33N_SDXL_V1") prompt = "SCR33N, a roaring tiger, in the style of SCR33N, screen printing, overprinting, offset colors, logo" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SCR33N_SDXL_V1

- Prompt
- SCR33N, a roaring tiger, in the style of SCR33N, screen printing, overprinting, offset colors, logo
- Negative Prompt
- bad quality, worst quality, blurry, unfininshed

- Prompt
- SCR33N, a howling wolf, in the style of SCR33N, screen printing, overprinting, offset colors, logo
- Negative Prompt
- bad quality, worst quality, blurry, unfininshed
Model description
A LoRA based on screen printing styles.
Works best when using the 'SCR33N' trigger word and with tags like screen printing, overprinting, offset colors and so on.
Trigger words
You should use SCR33N to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Ingi/SCR33N_SDXL_V1
Base model
stabilityai/stable-diffusion-xl-base-1.0