scribble-diffusion
sd-extension-system-info
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scribble-diffusion | sd-extension-system-info | |
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28 | 51 | |
2,855 | 258 | |
1.5% | - | |
5.5 | 9.3 | |
about 2 months ago | 3 months ago | |
JavaScript | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.
scribble-diffusion
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Hablemos de CORS & frontend con vite (version en Español)
Text to image with Scribble Diffusion
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Stable Doodle: Transform your doodles into real images in seconds
Eh, I don't think this is better than https://scribblediffusion.com/. None of the three images were at all like my drawing, but Scribble Diffusion did include the right elements in the right places.
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12 Super Cool Machine Learning Projects that you didn't know are Open Source and made of JavaScript
Demo: Scribble Diffusion GitHub: Scribble Diffusion Repository
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ControlNet bringing shitty scribble to life
You can get several free acccess interactions with a version here ControlNet Scribble (ie if you keep using it for long enough/ several tries then it will ask you to set up an account) ...... this is the backend for a simpler browser interface at Scribble Diffusion but the ControlNet one above allows you to upload an image, so, yeah draw a scribble on a piece of paper, take a photo with your phone and then upload
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Hello, I made a drawing that I wanted to use as a logo but I don’t know how to project it to an actual logo or image, can somebody help pls
I feel embarrassed to jump on the AI bandwagon, but have you tried uploading this into something like Scribble Diffusion?
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Free Web-Based Tools That Don't Require OpenAI API Key
ScribbleDiffusion: Turns scribbles with descriptions into really cool images.
- Scribble Diffusion
- Are we still hating on A.I. ? I feel these were really great. This website changes a line drawing into art and the results are really cool.
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Percubaan yang agak bagus
scribblediffusion.com
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Trying 3D Renders from CN Scribble
Thanks so much! You should try it! In this case my drawing is more elaborate, but you will be surprised that the simplest drawing can achieve great results! If your drawing is not very good then the prompt is very important! Give it a try at https://scribblediffusion.com/ and let me know how it went!
sd-extension-system-info
- RTX 4070 vs rx 7800 xt
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AMD for AI
I've been using both SD and various LLM on linux without any issue and have done so for months. Windows support is also starting to roll out slowly, with koboldcpp-rocm recently giving me 20-25+t/s for a13B even on windows. you can see what SD performance is like on sites like these. those numbers roughly match what i get on my RX6800 as well (8t/s).
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Stable Diffusion in pure C/C++
That seems a lot worse than a 2060 SUPER with PyTorch in A1111.
https://vladmandic.github.io/sd-extension-system-info/pages/... (search for 2060 SUPER)
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Iterations per second benchmarking question
But usually A1111 users use benchmark on this extension https://github.com/vladmandic/sd-extension-system-info
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Best AMD SD Guide for 2023?
AMD SD = Setup Diaster? it was quite troublesome googling the few linux/amdgpu/rocm/sd vers/configs/params posts online. Also the whole PC may hang during generation which is bad for the harddisk. Your card is way more powerful so may not hang like mine. People are getting 8it/s https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html
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Which one is better? Nvidia Tesla M40 vs Nvidia Tesla P4?
According to system info benchmark, M40 is like 1-2 it/s and P4 is barely better than that.
- Video card price/performance ratio
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--medvram. Should I remove this flag? Running 3090
Anyway to properly "benchmark" the impacts different switches on your image generation speed, it is better to use the benchmarking utility from extension https://github.com/vladmandic/sd-extension-system-info (it also creates a very handy table of results from other users at https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html for you to compare with.
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Searching for install guide for top performance setup on WSL2 (Automatic1111)
I can see that the top performance benchmark results on SD WebUI Benchmark Data (using RTX 4090), are obtained through WSL2 running Automatic1111 on a Linux dist and Python 3.10.11, along with PyTorch 2.1.0.dev+cu121 (like benchmark id: 4126)
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Advice for Optimization on an RTX 8000
You should be able to compare based on the published benchmarks, just replicate the settings based on what's reported https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html
What are some alternatives?
ControlNet - Let us control diffusion models!
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
sd-webui-controlnet - WebUI extension for ControlNet
tomesd - Speed up Stable Diffusion with this one simple trick!
artbot-for-stable-diffusion - A front-end GUI for interacting with the AI Horde / Stable Diffusion distributed cluster
voltaML-fast-stable-diffusion - Beautiful and Easy to use Stable Diffusion WebUI
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-webui-directml - Stable Diffusion web UI
react-sketch-canvas - Freehand vector drawing component for React using SVG as canvas 🖌️
HIP - HIP: C++ Heterogeneous-Compute Interface for Portability
dumb-password-rules - A compilation of sites with dumb password rules.
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️