Instructions to use saq1b/sdxl-cctv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saq1b/sdxl-cctv 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("saq1b/sdxl-cctv") prompt = "cctvfootage, A man sitting on his pc" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SDXL CCTV

- Prompt
- cctvfootage, A man sitting on his pc
Model description
From https://civitai.com/models/178910/sdxl-cctv
All credits to the owner who made this LoRA, I just uploaded it on huggingface
Introducing SDXL CCTV
With this LoRA you can generate surveillance footage that’s so bad, it’s almost good.
Just prompt:
cctvfootage, {whatever you want to generate}
"The perfect tool for when you want your footage to look like it was filmed on a potato." - AimingFail
Trigger words
You should use cctvfootage 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 saq1b/sdxl-cctv
Base model
stabilityai/stable-diffusion-xl-base-1.0