SHARK
AMD-Stable-Diffusion-ONNX-FP16
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SHARK | AMD-Stable-Diffusion-ONNX-FP16 | |
---|---|---|
84 | 10 | |
1,382 | 35 | |
4.1% | - | |
9.4 | 10.0 | |
3 days ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
SHARK
- Llama 2 on ONNX runs locally
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[D] Confusion over AMD GPU Ai benchmarking
https://github.com/AUTOMATIC1111/stable-diffusion-webui, https://github.com/nod-ai/SHARK, those are the repos for the open source tools mentioned. u/CeFurkan has really nice tutorial videos on YouTube for stable diffusion. Automatic1111 is the most popular open source stable diffusion ui and has the biggest open source plug-in ecosystem currently. Nvidia’s compute driver is separate from normal driver and called cuda. Amd’s compute driver is called rocm. Most windows programs like games use apis like directx, Vulkan,metal, web gpu and not cuda. Most ml code was originally intended to run in on scientific computing systems that were Linux. Today the traditional windows gpu apis are tying to get better at gpu ml supports. Amd has no official windows ml code support and is Hoping that other developers figure it out for them but amd made their ml driver open source but no support for consumer graphics cards. Nvidia is proprietary ml driver but guaranteed support across all cards including consumer
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Amd Gpu not utilised
I got it working using SHARK with an AMD RX 480 on Windows 10.
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New to SD - Slow working
Here the link for shark, faster (uses vulkan) than automatic1111 with directml but has less functions https://github.com/nod-ai/SHARK
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7900 XTX Stable Diffusion Shark Nod Ai performance on Windows 10. Seem to have gotten a bump with the latest prerelease drivers 23.10.01.41
I would recommend trying out Nod AI's Shark (That is the link for the most recent 786.exe release), and see how it works for you. From others I've read, it does 512x512 pics at around 3 it/s, which I know isn't mind blowing, but it's good enough to do a pic in about 30 seconds.
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New here
Problem solve, i had it to work i simply put this nod's ai shark exe in my stabble diffusion folder and launch it instead of Webui-user -> Release nod.ai SHARK 20230623.786 · nod-ai/SHARK (github.com)
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I built the easiest-to-use desktop application for running Stable Diffusion on your PC - and it's free for all of you
How does it compare with Shark SD (I am not affiliated with it in any way)? (https://github.com/nod-ai/SHARK)
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after changing GPU from RX 470 4gb to RTX 3060 12GB, I decided to make a few cozy houses, and these are a few of them
you should if you want to run SD on your card https://github.com/nod-ai/SHARK
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20 minute load time per image on high end pc?
Forgive me for not reading you whole comment. I suspect you're version of the SD eb UI doesn't recognize the AMD GPU., so you're using the CPU. AMD GPUs only work with a few web UIs. Try Nod.ai's Shark variant
- AMD support for Microsoft® DirectML optimization of Stable Diffusion
AMD-Stable-Diffusion-ONNX-FP16
- Windows + AMD 6700 XT doesn't work?
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Best UI for AMD Card
Train on Google Colab and use ONNX for generation. I suggest https://github.com/Amblyopius/AMD-Stable-Diffusion-ONNX-FP16 for the ONNX part, you just need an additional step to go from ckpt to diffusers (available in diffusers GitHub) and can then locally convert your model to ONNX and create images.
- So... I'm running an AMD system on Win10. I've got the automatic1111 UI running, but haven't gotten the GPU to be used.
- AMD on Windows and RX580 Failed
- Gtx 550ti cuda vs ryzen 5 3600
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How to load custom models with my setup?
If you want custom models, use this: https://github.com/Amblyopius/AMD-Stable-Diffusion-ONNX-FP16
- Stable Diffusion is using my CPU not my GPU
- Very long time for a simple image because AMD GPU
- im trying to use my AMD gpu to generate some images. i forund this https://rentry.org/ayymd-stable-diffustion-v1_4-guide online. but i get this error when i put .\save_onnx.py. what is the problem and how do i resolve it?
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI
OnnxDiffusersUI - UI for ONNX based diffusers
stable-diffusion-webui-directml - Stable Diffusion web UI
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
llama.cpp - LLM inference in C/C++
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
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]
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]