chaiNNer
stable-diffusion-webui
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chaiNNer | stable-diffusion-webui | |
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46 | 2,808 | |
4,057 | 129,299 | |
6.0% | - | |
9.8 | 9.9 | |
2 days ago | 6 days ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT |
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chaiNNer
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chaiNNer Is Awesome
It is like Comfy UI Jr. but much easier to navigate. Huge amount of useful features, and you can connect it to the WebUI. I highly recommend checking it out: https://github.com/chaiNNer-org/chaiNNer
- ChaiNNer – Node/Graph based image processing and AI upscaling GUI
- Anyone turn eye AF off when taking portraits of people or animals A7RIV?
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Transmigrations concert visuals remixes
For the video it turned out a bit too "hairy" compared to many of the still images (I believe because of the long landscape aspect ratio), but I ran out of time to fiddle. I used the Seed Travel extension for the animation and ChaiNNer with the 4x-Valar upscaler.
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How can we, as 3D designers/artists, integrate AI into our work?
While at it, check out ChaiNNer -> https://github.com/chaiNNer-org/chaiNNer
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What about game assets that target 1080p and you want 4K fidelity?
If you want to do more, there's chaiNNer and CupScale. You need to download an AI model to use those. There are a lot of anime/cartoon models out, so pick one that you like from here. (Note: Upscaly doesn't support these custom models.)
- Ai Interpolation (Quality Issue)
- What workflow is best for upscaling portraits taken by phone camera or DSLR?
- Question; for those of you with GPU’s whose VRAM is above 8Gb’s, how many photos in a batch can you make at one time?
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Are there any google collab scripts or other tools to upscale a bunch of images..?
For local there's cupscale and chainner
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
What are some alternatives?
cupscale - Image Upscaling GUI based on ESRGAN
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]
ultimate-upscale-for-automatic1111
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
SHARK - SHARK - High Performance Machine Learning Distribution
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
upscayl - 🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
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.
chainer - A flexible framework of neural networks for deep learning
safetensors - Simple, safe way to store and distribute tensors