Stable-Diffusion-ONNX-FP16
SHARK
Stable-Diffusion-ONNX-FP16 | SHARK | |
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10 | 84 | |
267 | 1,393 | |
- | 2.2% | |
6.8 | 9.4 | |
7 months ago | 5 days ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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Stable-Diffusion-ONNX-FP16
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Blender 3.6 (huge AMD gains with HIP RT) reaches Beta Phase 3
There are a few versions of stable diffusion that someone ported and you can use them, I think I used https://github.com/Amblyopius/Stable-Diffusion-ONNX-FP16 with my amd card, then there's something like shark stable diffusion
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another UI for Stable Diffusion for Windows and AMD, now with LoRA and Textual Inversions
Yes, the FP16 stuff in this latest release is a big part of that, and should tentatively support 8GB cards. I haven't pushed things quite as far as https://github.com/Amblyopius/Stable-Diffusion-ONNX-FP16 yet, but support for 4GB cards is possible and we've been discussing how it works: https://github.com/ssube/onnx-web/issues/241
- Seeking Advice on Optimizing Stable Diffusion with AMD Graphics Card
- AMD
- StableDiffusion on AMD
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What is the cheapest Nvidia GPU that can run StableDiffusion well?
Second option is: https://github.com/Amblyopius/Stable-Diffusion-ONNX-FP16
- Stabble diffusion using cpu only
- whats the best way to use stable diffusion on windows with an amd 6700xt?
- Can’t convert ckpt to ONNX folder using NMKD SD GUI
- Webui for AMD GPU / windows
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
What are some alternatives?
onnx-web - web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD
stable-diffusion-webui - Stable Diffusion web UI
Orochi
stable-diffusion-webui-amdgpu - Stable Diffusion web UI
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
AMD-Stable-Diffusion-ONNX-FP16 - Example code and documentation on how to get FP16 models running with ONNX on AMD GPUs [Moved to: https://github.com/Amblyopius/Stable-Diffusion-ONNX-FP16]
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
llama.cpp - LLM inference in C/C++