sd-akashic
rocm-build
| sd-akashic | rocm-build | |
|---|---|---|
| 37 | 7 | |
| 1,595 | 168 | |
| - | - | |
| 1.4 | 0.0 | |
| about 1 year ago | 4 months ago | |
| C++ | ||
| The Unlicense | Apache License 2.0 |
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sd-akashic
- [Stable Diffusion] La longueur maximale utilisable d'une invite de texte de diffusion stable est prétendument 77 jetons. Voici ce que cela signifie et comment tester le nombre de jetons dans votre invite de texte.
- [Stablediffusion] Que font exactement les guidance scale ?
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Model Testing - Realistic portraits with a study of various artists (A's)
The very study you linked to also did this same thing, as have multiple others, and they have a visible, attributable, and even measurable effect exactly as I pointed out. Meanwhile yours doesn't, to the point of being attributable to noise on many. Therefor, "Don't be fooled."
- [Stablediffusion] Que fait exactement la Guidance Scale ?
- Is this tutorial legit?
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Hi folks, thought I'd ask for help here because I'm quite a noob when it comes to stable diffusion. I have the problem that I want to generate landscapes and every time I get double mountains. I used negative (((Duplicate mountain))), double mountains,(((extra mountain))) but it doesn't help. Though
I remember referencing this image a lot - https://github.com/Maks-s/sd-akashic/blob/master/img/brbbbq-dimensions.png
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Improving old 3D renders with AI and SD
I've found the keywords to improve the results in this repository along with a lot of usefull info.
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What kind of limits would I have with an RTX 2070?
Picture Ratios
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List of SD Tutorials & Resources
Stable Diffusion Akashic Records
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Intro to Stable Diffusion: Resources and Tutorials
I think the current best list is at https://github.com/Maks-s/sd-akashic. There are now many such lists floating around. (I'm currently starting the hoarding of data and see if I can add to that list the many new links.)
rocm-build
- AMD's Hidden $100 Stable Diffusion Beast!
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AMD GPU driver not installed correctly
Scripts to help with building rocm and hip. It will also help work out dependencies. You will need to modify the scripts for them to work and not all are required. https://github.com/xuhuisheng/rocm-build
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Stable Diffusion on AMD RDNA3
Short answer no. Long answer "in theory" yes. I tried this [1] but gave up as building rocm + deps takes up to 6h :/ Official statement [2]
[1] https://github.com/xuhuisheng/rocm-build
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Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI
I am in the same boat with a gfx03 card. What patch did you use? The ones here? https://github.com/xuhuisheng/rocm-build
I also tried to compile pytorch with its Vulkan backend, but ended throwing the towel as LDFLAGS are a mess to get right (I successfully compiled it, but that was only part of the build chain, and decided I had better things to spend time on). I wonder how that would perform; ncnn works pretty decently.
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How do I run Stable Diffusion and sharing FAQs
Unofficial black magic is available: https://github.com/xuhuisheng/rocm-build/tree/master/navi10 (pytorch 1.12.0 is outdated but can run SD)
- Deep Learning options on Radeon RX 6800
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Which version of ROCm and Tensorflow should I use?
also have an RX570, currently running latest Tensorflow and ROCm 4.1. had to recompile some parts of ROCm 4.1 libraries to get tensorflow to work. mostly followed this guide: https://github.com/xuhuisheng/rocm-build/tree/master/gfx803
What are some alternatives?
stable-diffusion - Go to lstein/stable-diffusion for all the best stuff and a stable release. This repository is my testing ground and it's very likely that I've done something that will break it.
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]
tensorflow-upstream - TensorFlow ROCm port
stable-diffusion - A latent text-to-image diffusion model