MIOpen
AMD's Machine Intelligence Library (by ROCm)
stablediffusion-directml
High-Resolution Image Synthesis with Latent Diffusion Models (by lshqqytiger)
| MIOpen | stablediffusion-directml | |
|---|---|---|
| 9 | 6 | |
| 983 | 41 | |
| 1.4% | - | |
| 9.7 | 3.6 | |
| 4 days ago | about 1 year ago | |
| Assembly | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
MIOpen
Posts with mentions or reviews of MIOpen.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-29.
- AI Libraries and AI Frameworks are "Not Available" for ROCm on Windows. Does that mean not yet, or never?
-
[Project] MLC LLM: Universal LLM Deployment with GPU Acceleration
More than three months behind schedule...
- Someone has run SD with a release candidate of ROCm 5.5 on RDNA 3 and gets 15 it/s
-
ROCm on a 7900 XTX
https://github.com/ROCmSoftwarePlatform/MIOpen/milestones Miopen for rocm 5.5 and 5.6 milestones are done.But you don't release those yet.I still don't understand, what is the point of selling AI/ML capable GPU without releasing the driver for that (rocm, etc).
- Sapphire Pulse 7900 xt (Techpowerup review)
- Man I wish I could do all this cool shit too
- Issues with Automatic1111 WebUI on Ubuntu 22.04.1 LTS with AMD GPU
- Miopen - AMD's Machine Intelligence Library
- Radeon ROCm 4.3 Released With HMM Allocations, Many Other Improvements
stablediffusion-directml
Posts with mentions or reviews of stablediffusion-directml.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-29.
-
Automatic1111 for Intel Arc (A380 Tested)
stable-diffusion-stability-ai (Directml version)
-
Stable Diffusion on AMD APUs
https://github.com/lshqqytiger/k-diffusion-directml/tree/master --->this will need to be named k-diffusion https://github.com/lshqqytiger/stablediffusion-directml/tree/main ----> this will need to be renamed stable-diffusion-stability-ai
-
What am I doing wrong? Inpainting reverts to original...
I'm using the directml fork of the Automatic1111 web gui on my AMD RX 6800 XT , and it seems to work fine with txt2img, but my attempts at inpainting to fix up the faces is getting me nowhere. This isn't the browser issue, in that the faces are being shown as being edited in the preview, but they successively converge on the original bad image that's masked... I've attached a youtube clip of how it goes for me. Help!
-
Man I wish I could do all this cool shit too
Download k-diffusion and stablediffusion folders. (click green button "Code" and download as ZIP). Go to the folder you installed in step 1 and browse to repositories, extract these two folders there. Rename them to k-diffusion and stable-diffusion-stability-ai. If you already have these folders delete them first.
-
SD made me regret buying an AMD card.
There is couple options, easy one for windows is this fork https://github.com/lshqqytiger/stablediffusion-directml you don't need to convert models to onyxxx is simply a1111 using directml so you can use all features like controlnet, but will be probably slower than shark or linux a1111 with rocm (why the hell is there no rocm for windows :/), tbh If I were you, I'd probably try to sell the card and buy, for example, a 3060 12GB
-
Intel Arc Stable difussion?
3) install k-diffusion-directml and stablediffusion-directm under ..\stable-diffusion-webui-arc-directml-master\repositories (tutorial)
What are some alternatives?
When comparing MIOpen and stablediffusion-directml you can also consider the following projects:
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
SHARK - SHARK - High Performance Machine Learning Distribution
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
k-diffusion-directml - Karras et al. (2022) diffusion models for PyTorch
stable-diffusion-webui-colab - stable diffusion webui colab
SillyTavern - LLM Frontend for Power Users. [Moved to: https://github.com/SillyTavern/SillyTavern]
civitai - A repository of models, textual inversions, and more
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-webui-arc-directml - A proven usable Stable diffusion webui project on Intel Arc GPU with DirectML
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
stable-diffusion-webui-directml - Stable Diffusion web UI
MIOpen vs mlc-llm
stablediffusion-directml vs SHARK
MIOpen vs ROCm
stablediffusion-directml vs CodeFormer
MIOpen vs k-diffusion-directml
stablediffusion-directml vs stable-diffusion-webui-colab
MIOpen vs SillyTavern
stablediffusion-directml vs civitai
MIOpen vs stable-diffusion-webui
stablediffusion-directml vs stable-diffusion-webui-arc-directml
MIOpen vs fast-stable-diffusion
stablediffusion-directml vs stable-diffusion-webui-directml