sd-webui-segment-anything
automatic
sd-webui-segment-anything | automatic | |
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17 | 185 | |
3,224 | 4,768 | |
- | - | |
6.3 | 9.9 | |
18 days ago | 5 days ago | |
Python | Python | |
- | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sd-webui-segment-anything
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Textual inversion. The best way to prepare photos of a person?
One idea would be to use Segment Anything to cut out the character/face from the background and then replace with random backgrounds that you generate with stable diffusion. Here's an extension for Automatic1111 :) https://github.com/continue-revolution/sd-webui-segment-anything
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How hard is it to "code" a tool based on segment-anything and Stable diffusion ?
Checkout this code https://github.com/continue-revolution/sd-webui-segment-anything
- Can I use Interrogate CLIP or something similar to get image position data?
- Best way to mask images automatically?
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Information is currently available.
Segment anything is the extension that you're looking for.
- What's your favorite small tweaks to make? I'll go first
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Show HN: Image background removal without annoying subscriptions
If anyone is already running auto1111, or simply uninterested in paying, there's an addon that does this very well available here https://github.com/KutsuyaYuki/ABG_extension, additionally I've had very good results using the masks generated by Facebook's SAM, which is also available as an addon here https://github.com/continue-revolution/sd-webui-segment-anyt...
- The main reason why people will keep using open source vs Photoshop and other big-tech generative AIs
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Stable Diffusion + Segment Anything App and Tutorial
There’s an A111 extension already that I think does the same thing (I’ve had it installed for a few weeks now). https://github.com/continue-revolution/sd-webui-segment-anything
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YourVision: Stable Diffusion + Segment Anything
use this and inpainting https://github.com/continue-revolution/sd-webui-segment-anything
automatic
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Open-source project ZLUDA lets CUDA apps run on AMD GPUs
> it won't ever be a viable option
For production workloads, I generally agree. It's an unsupported hack with a questionable future, I wouldn't do anything money-making with it.
However, for tinkering and consumer workloads, it already works pretty well. Enough of cuDNN and cuBLAS work to run PyTorch and in turn, Stable Diffusion with https://github.com/lshqqytiger/ZLUDA - there's even a fairly user-friendly setup process already in https://github.com/vladmandic/automatic .
I was able to get a personal non-ML related project working on my AMD card in just a few minutes, which saved me a lot of development time before I then deployed the production workload on NV hardware (this is probably why AMD pulled the plug on the project - it's almost more of a boost to NV than anything else, AMD really need people to be writing code on ROCm to deploy on AMD datacenter hardware).
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Show HN: Comflowy – A ComfyUI Tutorial for Beginners
While I currently use SD.Next[1], I have tested ComfyUI locally with my AMD card. The UI can be daunting, but you learn quite a great deal about how a Stable Diffusion pipeline works. In addition some innovations and advances find their way into ComfyUI first.
[1] https://github.com/vladmandic/automatic
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Just me or SDXL is bad for rendering trees, grasses, vegetation in general ? Looks a stop motion or unfinished painting. How can I fix it ?
I used SD.NEXT ( https://github.com/vladmandic/automatic ) and https://civitai.com/models/82098/add-more-details-detail-enhancer-tweaker-lora and epicphotogasm_lastUnicorn
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Is SDXL supposed to be this slow on my system?
I found this thread on GitHub talking about how this was fixed in the latest version with an optional setting. I tried enabling it, as they mentioned, but it just resulted in an immediate CUDA out of memory error when starting generation. So it seems I'm actually needing the shared memory, which I assume is my issue.
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Another Monday, another big release from SDNext!
As always, do check out our more detailed changelog, give us a quick install from our Repo, and stop by our Discord Server for any questions or help you may need.
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What's the best stable diffusion client for base m1 MacBook air?
SD.Next
- Intel Arc 770 with Linux Mint, support requested!
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SDNext - Controlnet keeps being disabled after installing SDXL ?
Today I finally wanted to give SDXL a chance, so I set everythin up according to Vladmandic's Wiki https://github.com/vladmandic/automatic/wiki/SD-XL
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Vlad SD.Next SDXL DirectML: 'StableDiffusionXLPipeline' object has no attribute 'alphas_cumprod'
I'm trying to get SDXL working on Vlad's SDNext, but I keep getting the error in the title when trying to run basic operations. I'm not sure what's going on, I followed his guide for it to a T.
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[P] Stable Diffusion XL (SDXL) Benchmark - 769 images per dollar on consumer GPUs
We used an inference container based on SDNext, along with a custom worker written in Typescript that implemented the job processing pipeline. The worker used HTTP to communicate with both the SDNext container and with our batch framework.
What are some alternatives?
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
SHARK - SHARK - High Performance Machine Learning Distribution
stable-diffusion-webui-rembg - Removes backgrounds from pictures. Extension for webui.
stable-diffusion-webui-colab - stable diffusion webui colab
stable-diffusion-webui-directml - Stable Diffusion web UI
kohya_ss
ddetailer
stable-diffusion-webui-ux - Stable Diffusion web UI UX
segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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.
Auto-Photoshop-StableDiffusion-Plugin - A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using either Automatic or ComfyUI as a backend.