stable-karlo
InvokeAI
stable-karlo | InvokeAI | |
---|---|---|
10 | 239 | |
62 | 21,384 | |
- | 1.6% | |
2.3 | 10.0 | |
about 1 year ago | 3 days ago | |
Python | TypeScript | |
GNU General Public License v3.0 only | Apache License 2.0 |
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stable-karlo
- Super Easy AI Installer Tool (SEAIT) Update 0.1.0
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Unlimited-Size Diffusion Restoration
This repo uses the SD2 upscaling model in a workflow on top of Karlo and I've run that on my GPU, definitely nothing unusual about the memory requirements: https://github.com/kpthedev/stable-karlo
- [P] stable-karlo - Combining the Karlo diffusion model (based on OpenAI's unCLIP) with Stable-Diffusion v2 upscaling (Local UI + Colab notebook)
- [P] stable-karlo - A UI for Karlo (open-source model based on OpenAI's unCLIP) with Stable-Diffusion v2 upscaling. Google Colab available!
- Diverse examples generated with stable-karlo (link in comments!)
- stable-karlo - A UI for Karlo (open-source model based on OpenAI's unCLIP) with Stable-Diffusion v2 upscaling. Google Colab available!
- [P] Combining Kakaobrain's Karlo text-conditional diffusion model with Stable-Diffusion 2.1 (WebUI)
- I combined Karlo with the Stable Diffusion v2 Upscaler!
InvokeAI
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Stable Diffusion 3
Probably not, since I have no idea what you're talking about. I've just been using the models that InvokeAI (2.3, I only just now saw there's a 3.0) downloads for me [0]. The SD1.5 one is as good as ever, but the SD2 model introduces artifacts on (many, but not all) faces and copyrighted characters.
[0] https://github.com/invoke-ai/InvokeAI
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I actually used the rocm/pytorch image you also linked.
I'm not sure what you're pointing to with your reference to the Fedora-based images. I'm quite happy with my NixOS install and really don't want to switch to anything else. And as long as I have the correct kernel module, my host OS really shouldn't matter to run any of the images.
And I'm sure it can be made to work with many base images, my point was just that the dependency management around pytorch was in a bad state, where it is extremely easy to break.
> Anyways, hopefully this PR fixes the immediate issue: https://github.com/invoke-ai/InvokeAI/pull/5714/files
It does! At least for me. It is my PR after all ;)
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Can some expert analyze a github repo and tell us if it's really safe or not?
The data being flagged is not in that github repo, it's fetched from elsewhere and I don't fancy spending time looking for it. The alert is for 'Sirefef!cfg' which has been reported as a false positive with a bunch of other stable diffusion projects (https://www.reddit.com/r/StableDiffusion/comments/101zjec/trojanwin32sirefefcfg_an_apparently_common_false/, https://www.reddit.com/r/StableDiffusion/comments/xmhukb/trojan_in_waifudiffusion_model_file/, https://github.com/invoke-ai/InvokeAI/issues/2773 )
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What is the most effcient port of SD to mac?
I haven’t tried it recently, but InvokeAI runs on Mac. Invoke. I used to run on my MacBook, but have since gotten a Win laptop.
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Easy Stable Diffusion XL in your device, offline
There are already a number of local, inference options that are (crucially) open-source, with more robust feature sets.
And if the defense here is "but Auto1111 and Comfy don't have as user-friendly a UI", that's also already covered. https://github.com/invoke-ai/InvokeAI
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Ask HN: Selfhosted ChatGPT and Stable-diffusion like alternatives?
https://github.com/invoke-ai/InvokeAI should work on your machine. For LLM models, the smaller ones should run using llama.cpp, but I don't think you'll be happy comparing them to ChatGPT.
- 🚀 InvokeAI 3.4 now supports LCM & LCM-LoRAs and much more!
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Best ai image generator without a nsfw filter?
Stable Diffusion. /r/stablediffusion There are many tutorials on how to set it up locally and use it. InvokeAI is the easiest way to set it up. https://github.com/invoke-ai/InvokeAI
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What's the best stable diffusion client for base m1 MacBook air?
InvokeAI
- invoke-ai/InvokeAI
What are some alternatives?
stable-diffusion-tensorflow-IntelMetal - Stable Diffusion in TensorFlow / Keras, Designed for Apple Metal on Intel. Forked from @divamgupta's work [Moved to: https://github.com/soten355/MetalDiffusion]
stable-diffusion-webui - Stable Diffusion web UI
diffusiondb - A large-scale text-to-image prompt gallery dataset based on Stable Diffusion
stable-diffusion
stable-diffusion-videos - Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
ControlNet - Let us control diffusion models!
stable-diffusion - Optimized Stable Diffusion able to generate 1088x1088 images on just 4GB GPUs
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
alias-free-gan - Unofficial Alias-Free GAN implementation. Based on rosinality's version with expanded training and inference options.
dreambooth-gui
dream-factory - Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM