invisible-watermark
stable-diffusion-webui
invisible-watermark | stable-diffusion-webui | |
---|---|---|
20 | 8 | |
1,453 | 45 | |
1.7% | - | |
3.2 | 0.0 | |
8 months ago | 5 months ago | |
Python | ||
MIT License | - |
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invisible-watermark
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Why & How to check Invisible Watermark
I'm not sure your online tool is working. I tried it with the watermarked example image from https://github.com/ShieldMnt/invisible-watermark, and your tool returned that it did not detect a watermark:
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The AI bots have arrived at r/programming...
The public availability and quality of LLMs and stable diffusion have been an unprecedented disaster for spam mitigation largely because there is no effective way to determine if this content was created and posted by a human being. Particularly with text content, the amount of information present is so small that I don't believe there is a way to definitively analyze it and concretely say whether or not it was generated by an LLM. The only potential way to do so that I can think of would be to check every comment against the output of each LLM service provider, but that's a futile endeavor because you can go back to inserting typos and substitutions, reorder the text or omit some of it, mash multiple outputs together, or even self-host an LLM and skip all the bullshit from the start. At least the images and videos being created by stable diffusion can be watermarked reasonably well.
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SD Watermark checker. How do i check if image is generative?
i found an article but i don't understand it... is there any video tutorial of anything?
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MidJourney blocked content it generated as sexually explicit...
Creating invisible watermark encoder (see https://github.com/ShieldMnt/invisible-watermark)...
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How would an AI art company like Midjourney know you were selling imagery you created using their platform?
Tools to add this kind of watermarking are publicly available or could be reimplemented by in house developers if they don't like FOSS licenses.
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New Art Platforms for Artists and the death of old ones?
Most major AI generators embed invisible watermarks into the images so that they can detect them and avoid training on generated imagery later. I know Stable Diffusion uses this python library to do it: https://github.com/ShieldMnt/invisible-watermark I haven't bothered to look up others but they have similar steps.
- [D] Couldn't devs of major GPTs have added an invisible but detectable watermark in the models?
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Just saw this Post regarding new Anti-AI Software on Linkedin. What are your opinions on this? Can this even work?
It uses the same library as Stable Diffusion (https://github.com/ShieldMnt/invisible-watermark) without giving credit in its github repository which does not even contain the sources of its 3 lines of code. This watermark doesn't protect anything, it would be necessary that the robots that retrieve the images from the internet make the effort to read the watermark to not add them in their dataset (best case scenario, totally utopian). The repository is suspicious and could be a way to install malware.
- Stable diffusion uses https://github.com/ShieldMnt/invisible-watermark by default unless you check "Do not add watermark to images" in settings
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Looks like Stable Diffusion 2.0 was released, with some anticipated features
"This script incorporates an invisible watermarking of the outputs, to help viewers identify the images as machine-generated."
stable-diffusion-webui
- Can we start a list of Stable Diffusion 2.0 compatible UI's?
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Trying to squeeze my favorite Wes Anderson-esque portrait style out of 2.0
I'm using a fork of automatic1111 that works with the new ckpt files (still takes some effort to install) https://github.com/MrCheeze/stable-diffusion-webui/tree/sd-2.0
- Started recreating my prompts in SD 2.0!
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New Release: SD 2.0 Dreambooth model - Future-Diffusion
I used this repo: https://github.com/MrCheeze/stable-diffusion-webui/tree/sd-2.0 to test out v.2.0. I guess it's like automatic repo but with some additional scripts and files (that I do not understand) that allows you to put v.2.0 model inside and try. For the time being I managed to run base 768x768 model. (512x512 base model doesn't work for me).
- Is any way to test SD 2.0 on Colab Free or Automatic 1111?
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Looks like Stable Diffusion 2.0 was released, with some anticipated features
Somebody put up a fork already.
- Stable Diffusion 2.0 Announcement
What are some alternatives?
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
dreambooth-training-guide
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
onnx - Open standard for machine learning interoperability
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
stable-diffusion - A latent text-to-image diffusion model
Stable-Diffusion-2.0-CPU-or-GPU-Colab-Gradio - Config files for my GitHub profile.
stable-diffusion
stable-diffusion-webui - Stable Diffusion web UI