sd-webui-inpaint-anything
stable-diffusion-pytorch
| sd-webui-inpaint-anything | stable-diffusion-pytorch | |
|---|---|---|
| 10 | 1 | |
| 938 | 467 | |
| - | - | |
| 8.7 | 2.4 | |
| 7 days ago | 2 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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sd-webui-inpaint-anything
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How to send masked photo to img2img inpainting
Hey everyone,Today I installed inpaint-anything extension from github(https://github.com/Uminosachi/sd-webui-inpaint-anything) to Stable Diffusion. It works perfectly.
- Human masking
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Fast Segment Anything (40ms/image)
I'm a huge fan of "Inpaint Anything" for its implementation of "Segment Anything". I'd anticipate an update from the developer asap - pretty active. https://github.com/Uminosachi/sd-webui-inpaint-anything
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Any way to keep the transparency of a png after running it through img2img/inpaint?
"Inpaint Anything" is an unlisted SD extension (not on the in app list yet for some reason) that can export masks (alpha included) w/ transparency. Not sure if it fits your original needs for inpainting, but it may actually be easier. It creates it's own tab: https://github.com/Uminosachi/sd-webui-inpaint-anything
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Unable to install Inpaint Anything for Stable Diffusion Web UI on a Mac
GitCommandError: Cmd('git') failed due to: exit code(128) cmdline: git clone -v --filter=blob:none -- https://github.com/Uminosachi/sd-webui-inpaint-anything.git in the URL for extension's git repository /Applications/Stable Diffusion/stable-diffusion-webui/tmp/sd-webui-inpaint-anything in the URL for extension's git repository stderr: 'Cloning into '/Applications/Stable Diffusion/stable-diffusion-webui/tmp/sd-webui-inpaint-anything in the URL for extension's git repository'... fatal: unable to access 'https://github.com/Uminosachi/sd-webui-inpaint-anything.git in the URL for extension's git repository/': URL using bad/illegal format or missing URL '
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HELP! What options/extensions are available for auto masking in A1111?
you could use this extension https://github.com/Uminosachi/sd-webui-inpaint-anything
- Favorite InPaint Tool? ControlNet, Inpaint Anything, Photoshop, or other?
- Inpaint Anything (uses "Segment Anything") - Cool A1111 Extension not (yet) on the in App list
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Setting Environment Variables to Avoid Memory Errors
When I try to use Inpaint Anything, I get this error...
stable-diffusion-pytorch
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Brothers and Sisters of SD sub, how much knowledge of ML and DL you have and one should have to even begin processing what is being said in these papers, let alone hacking projects and end-to-end pipelines involving SD, controlNet etc in github
If you want to learn how to hack the pipeline, this seems to be a good starting point: https://github.com/kjsman/stable-diffusion-pytorch, but you probably have to learn the PyTorch library first if you have not used it before.s
What are some alternatives?
stable-diffusion-webui-rembg - Removes backgrounds from pictures. Extension for webui.
stable-diffusion-docker - Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
ai-text-to-audio-latent-diffusion - text-to-audio-latent-diffusion
StableDiffusionTelegram - StableDiffusionTelegram is a telegram bot that allows to generate images using the stable diffusion AI from a telegram bot, in a much more comfortable and simple way.
StableFusion - Transform text into images and images into new ones using AI. Our user-friendly web app, built with Diffusion, Python, and Streamlit, offers customizable outputs in various styles and formats
Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
sdxl-demos - Python demos for testing out the Stable Diffusion's XL (SDXL 0.9) model.
stable-diffusion-webui - Stable Diffusion web UI
FastSAM - Fast Segment Anything
diffusion-for-beginners - denoising diffusion models, as simple as possible
diffusiondb - A large-scale text-to-image prompt gallery dataset based on Stable Diffusion
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.