sd-webui-colab
invisible-watermark
sd-webui-colab | invisible-watermark | |
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14 | 20 | |
512 | 1,453 | |
- | 1.3% | |
6.8 | 3.2 | |
over 1 year ago | 7 months ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | MIT License |
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sd-webui-colab
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List of Stable Diffusion systems - Part 3
(Added Aug. 28, 2022) Colab notebook Stable Diffusion WebUi - Altryne by altryne. GitHub repo. txt2img. img2img. inpainting. Gradio user interface. Uses sd-webui repo.
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What's the best install of Stable Diffusion right now?
you can try the colab version of hlky repo: https://github.com/altryne/sd-webui-colab, easier to setup or a one cell colab version: https://github.com/pinilpypinilpy/sd-webui-colab-simplified, everything works in one cell
- Using DOS games as init images - part 2
- Testando o Brasil no Stable Diffusion (versão open source do Dall-e)
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Running Stable Diffusion on Your GPU with Less Than 10Gb of VRAM
For those without GPU's / not a powerful enough one. You can start the hlky stable diffusion webui (yes, web ui) in Google Colab with this notebook[0].
It's simple and it works, using colab for processing but actually giving you a URL (ngrok-style) to open the pretty web ui in your browser.
I've been using that on-the-go when not at my PC and it's been working very well for me (after trying numerous other colab-dedicated repos, trying to fix them, and failing).
[0]: https://github.com/altryne/sd-webui-colab
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ModuleNotFoundError: No module named 'frontend' error in Stable Diffusion Kaggle Notebook
The code is directly adapted from the Colab notebook repo based on the hlky GitHub repo. I really don't have much experience with coding and didn't change much of the code other than the paths specific to Kaggle.
- Run Stable Diffusion on Your M1 Mac’s GPU
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Anyone running stable diffusion webui on google colab pro+ account?
I'm running SD-webui on google colab https://github.com/altryne/sd-webui-colab/ with a colab pro account and its awesome but it does crash with attempting larger images. Is anyone using a google colab pro+ account and able to process larger images?
- sd-webui on google colab by Altryne and Hlky - Help saving to gdrive?
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Made a super simple Colab version of Stable diffusion
Based off of https://github.com/altryne/sd-webui-colab and https://github.com/hlky/stable-diffusion
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."
What are some alternatives?
stablediffusion-interpolation-tools
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
stable_diffusion.openvino
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
stable-diffusion
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]
awesome-stable-diffusion - Curated list of awesome resources for the Stable Diffusion AI Model.
onnx - Open standard for machine learning interoperability
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
stable-diffusion - A latent text-to-image diffusion model
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]