brev-cli
imaginAIry
| brev-cli | imaginAIry | |
|---|---|---|
| 7 | 56 | |
| 198 | 7,806 | |
| 1.5% | - | |
| 7.9 | 9.2 | |
| 4 days ago | about 1 month ago | |
| Go | Python | |
| MIT License | MIT License |
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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.
brev-cli
- Brev: Start fine-tuning and training models in < 10 minutes
- OpenLLaMA: An Open Reproduction of LLaMA
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Using the cloud or buying a GPU
I don't have a PC right now that will run StableDiffusion. I can build one but I think I'm going to need a pretty powerful GPU which I'm not sure I can afford right now. I started using something called Brev https://brev.dev/ (no, I don't work there just found it searching). It's pretty affordable and super easy to setup.
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is there a good guide on how to train an ai to simulate your own art work?
I just finished listening to an episode of the Practical AI podcast, where they talked with Nader Khalil from brev.dev. They talked a little bit about setting up dreambooth and training it with ten images in about 4 minutes. I havent tested it, but it is worth a try. Brev.dev is a way to set up virtual machines and developement environments. Would love to heard from people who have used it.
- New AI edits images based on text instructions (instructPix2Pix/imaginAIry)
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Tensorbook
R.I.P. battery.
Personally I've been using Brev [1] to do my cloud training, you get a cloud GPU instance that you can upgrade/downgrade on the fly, and makes supports VS Code out of the box.
[1] https://brev.dev/
- Brev
imaginAIry
- Show HN: Launch StableStudio local inference in one commmand
- imaginairy 12.0. diffusion upscaling, image shuffling, controlnet 1.1 for any SD 1.5 model
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I Used Stable Diffusion and Dreambooth to Create an Art Portrait of My Dog
Stable Diffusion works fine on a CPU - on an AMD Ryzen 5700, approx 90s per image (and I believe comparable or faster on my old i7-6700). If you want to kick off a batch in the background while you work on something else, that's plenty fast. (I use: https://github.com/brycedrennan/imaginAIry).
- ControlNet integrated with script-friendly imaginAIry
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What files would I edit to change features / make new features in Automatic 1111?
Yeah, also, rather than messing around with the AUTO1111 UI, maybe learn some Python and how to use this library: https://github.com/brycedrennan/imaginAIry
- Any way to install and use SD via command line instead of GUI?
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Master hacker used “AI via command prompt” to ask what “after death looks like”
this is a real thing https://github.com/brycedrennan/imaginAIry
- FLiP Stack Weekly 28 Jan 2023
- FLiP Stack Weekly 28-Jan-2023
- new in imaginAIry - animations!
What are some alternatives?
EasyLM - Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
sd_dreambooth_extension
stable-diffusion - Latent Text-to-Image Diffusion
SRNet - A tensorflow reproducing of paper “Editing Text in the wild”
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
open_llama - OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-grpcserver - An implementation of a server for the Stability AI Stable Diffusion API
modal-examples - Examples of programs built using Modal