voltaML-fast-stable-diffusion
stable-diffusion-webui-ux
voltaML-fast-stable-diffusion | stable-diffusion-webui-ux | |
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14 | 30 | |
941 | 943 | |
2.0% | - | |
9.7 | 9.9 | |
about 2 months ago | 21 days ago | |
Python | Python | |
GNU General Public License v3.0 only | GNU Affero General Public License v3.0 |
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voltaML-fast-stable-diffusion
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Show HN: Shortbread, a web app that helps you create AI comics in minutes
Also, VoltaML has a good reference GPU AITemplate SD 1.5 implementation:
https://github.com/VoltaML/voltaML-fast-stable-diffusion/tre...
The speed jump is massive on my desktop GPU, probably even more dramatic on cloud hardware, and it may support some things (weight swapping/lora swapping/resolution changing) better than JAX.
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AI Horde’s AGPL3 hordelib receives DMCA take-down from hlky
This kind of drama is just sad.
I dont know if you are OP, but plenty of other UIs have interrogator code, like https://github.com/VoltaML/voltaML-fast-stable-diffusion/tre...
- What is the text-to-image AI tool?
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WIP - TensorRT accelerated stable diffusion img2img from mobile camera over webrtc + whisper speech to text. Interdimensional cable is here! Code: https://github.com/venetanji/videosd
If you just want an accelerated ui, you can check https://github.com/ddPn08/Lsmith/ or https://github.com/VoltaML/voltaML-fast-stable-diffusion which also use the same origina nvidia code. These projects don't do img2img though, you can check in my repo for the img2img pipeline if you need. You need to compile the tensorrt engines for the models first. There are a few steps you can check in their script: export onnx, optimize onnx, compile engine for optimized onnx. I streamlined that a bit and I normally just run my compile.py in docker to build engines.
- 4090, 33 it/s, Windows 10
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RTX 4090 12.5it/s ... can this be even faster?
Try https://github.com/VoltaML/voltaML-fast-stable-diffusion
- When will the 30 img per 1 second model happen?
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Get in the robot, Harry
This one: VoltaML/voltaML-fast-stable-diffusion: Lightweight library to accelerate Stable-Diffusion, Dreambooth into fastest inference models with single line of code 🔥 🔥 (github.com)
- Anyone tried this VoltaML fast stable diffusion. I thought they were gonna add support for automatic1111.
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Me waiting for A1111 Depth2img to officially support custom depth maps.
You will be waiting a lot longer for this to be implemented: https://github.com/VoltaML/voltaML-fast-stable-diffusion
stable-diffusion-webui-ux
- Wildly unpredictable faces quality
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Alternative to Canvas Zoom Extension?
If you're open to trying a fork of auto1111, I'd recommend using the Ui-UX fork of auto1111 by anapnoe. It has a big ui overhaul, one item of which is improved inpainting. Has move, zoom, and full a screen mode. Take a look at the screenshots and see if that seems to fit your need.
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Better mobile Inpainting from locally hosted Stable Diffusion?
I'd highly recommend using the Ui-UX fork of auto1111 by anapnoe. It is designed with mobile in mind, and has a custom interface for img2img and inpainting.
- SDFX : New UI for Stable Diffusion
- Is there any interest in a mobile companion app to go with automatic1111?
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AUTOMATIC1111 updated to 1.3.0 version
If you want more than that, the only thing I know of is a fork that needs a fresh install: https://github.com/anapnoe/stable-diffusion-webui-ux
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What is the text-to-image AI tool?
https://github.com/vladmandic/automatic or https://github.com/anapnoe/stable-diffusion-webui-ux
- What web UI should I go for for SD generation? I currently use Easy Diffusion 2.5, but I’ve been meaning to switch since I just got a GeForce RTX 3070. Any good recommendations?
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webui.bat closes instantly?
Yes that's the fork I'm using, it's got a great UX, and I much preferred it when it was working!
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What's your opinion on InvokeAI compared to Automatic1111
Seriously, if anyone wants to use Auto1111 (which supports all the important SD "extras") but are turned off by the clunky interface, try this fork: https://github.com/anapnoe/stable-diffusion-webui-ux. It has a much better UI, runs nearly every Auto1111 extension without issues AND only merges stable commits. If you were already considering InvokeAI (which is in itself a great downscaled SD environment) then try Anapnoe's webui. It's closer to bleeding edge, but without the actual bleeding.
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
a1111-nevysha-comfy-ui - A collection of tweak to improve Auto1111 UI//UX [Moved to: https://github.com/Nevysha/Cozy-Nest]
sd-extension-system-info - System and platform info and standardized benchmarking extension for SD.Next and WebUI
sd-web-ui-kitchen-theme - 🧿 Kitchen theme for stable diffusion webui [Moved to: https://github.com/canisminor1990/sd-webui-kitchen-theme]
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.
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
AITemplate - AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
Visual Studio Code - Visual Studio Code
depthmap2mask - Create masks out of depthmaps in img2img
StableStudio - Community interface for generative AI