stable-diffusion-webui
diffusion-ui
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stable-diffusion-webui | diffusion-ui | |
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2,808 | 11 | |
129,299 | 139 | |
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9.9 | 4.6 | |
1 day ago | 16 days ago | |
Python | Jupyter Notebook | |
MIT | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
stable-diffusion-webui
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Show HN: I made an app to use local AI as daily driver
* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.
- https://diffusionbee.com/
- https://github.com/comfyanonymous/ComfyUI
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...
I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.
But again, it would be nice to have first class support to locally participate in the fun.
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Ask HN: What is the state of the art in AI photo enhancement?
In Auto1111, that just uses Image.blend. :)
https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...
- How To Increase Performance Time on MacOS
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Can anyone suggest an AI model that can help me enhance a poorly drawn logo?
I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.
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Seeking out an experienced and empathetic coding buddy.
That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.
- can't get it working with an AMD gpu
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SD extension that allows for setting override
Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094
- Need to write an application to use Stable Diffusion on my desktop PC - which resource should I learn to use?
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4090 Speed Decrease on each Generation/Iteration
version: v1.6.1 • python: 3.10.13 • torch: 2.0.1+cu118 • xformers: 0.0.20 • gradio: 3.41.2 • checkpoint: 6e8d4871f8
diffusion-ui
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Who needs Photoshop generative AI when we have AUTO1111?
You can use diffusion-ui on top of automatic1111 for easy outpainting. Run automatic1111 with --cors-allow-origins=http://127.0.0.1:5173,https://diffusionui.com Then select the automatic1111 backend, upload an image then use the mouse scroll to zoom out.
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Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI
I see you've got my https://github.com/leszekhanusz/diffusion-ui gui but it seems to be linked to a completely unrelated face-swapping interface?
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Anyone using the stable-diffusion-webui repo by automatic1111 as an API?
Yes, checkout diffusion-ui
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DiffusionUI responsive frontend working with the automatic1111 fork
I modified my GUI Stable Diffusion frontend to be able to use the automatic1111 fork as a backend.
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Can we please make a general update on all the "most important" news/repos available?
It's not really well known at the moment but you also have my DiffusionUI interface which is based on diffusers with a backend where you can disable the nsfw filter.
- Show HN: Guided inpainting with Stable Diffusion using DiffusionUI
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Presenting DiffusionUI, a web GUI for Stable Diffusion backends [P]
GitHub: https://github.com/leszekhanusz/diffusion-ui
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SD in-painting hair test
One way to do it is to use diffusionui, a web interface I made in vue. Here is a crappy video demo showing the process.
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What's the best install of Stable Diffusion right now?
If you want to do inpainting, you can try my diffusionui interface I'll add a feature soon to save the generated images in local storage in the browser. Here is a small demo
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Having fun with my proof-of-concept of a web interface to do directed inpainting with stable-diffusion
It's still a work in progress but you can already play with it. Check it on GitHub
What are some alternatives?
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]
glid-3-xl-stable - stable diffusion training
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
SHARK - SHARK - High Performance Machine Learning Distribution
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
diffusion-ui-backend - Backend for the diffusion-ui frontend
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.
diffusers-interpret - Diffusers-Interpret 🤗🧨🕵️♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
safetensors - Simple, safe way to store and distribute tensors
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]