nix-stable-diffusion
stable-diffusion-webui
| nix-stable-diffusion | stable-diffusion-webui | |
|---|---|---|
| 1 | 2,808 | |
| 7 | 130,470 | |
| - | - | |
| 10.0 | 9.9 | |
| over 1 year ago | 2 days ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | MIT |
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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.
nix-stable-diffusion
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Stable-diffusion in Nix
I have been playing around with a memory efficient version of [stable-diffusion](https://github.com/basujindal/stable-diffusion), an AI model that outputs images based on input text. I think it is rather neat, and [this post](https://xeiaso.net/blog/stable-diffusion-nixos) by Xeiaso (good blog for nix resources and rants) inspired me to try and make the installation process more nix-friendly. So I have forked the original [stable-diffusion repo](https://github.com/CompVis/stable-diffusion) and added a [`default.nix`](https://github.com/Danielhp95/nix-stable-diffusion/blob/main/default.nix) which dumps you in a `nix-shell` with all dependencies: cuda (nvidia) stuff, python dependencies and C++ libraries for pytorch (deep learning framework). Although **note** that in order to run it you must first download the model weights from [this repo](https://huggingface.co/CompVis/stable-diffusion-v1-4) and place them in `models/ldm/stable-diffusion-v1/model.ckpt` directory.
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?
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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]
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
SHARK - SHARK - High Performance Machine Learning Distribution
stable-diffusion - A latent text-to-image diffusion model
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
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.
safetensors - Simple, safe way to store and distribute tensors
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.