SD-CN-Animation
private-gpt
SD-CN-Animation | private-gpt | |
---|---|---|
20 | 131 | |
804 | 52,027 | |
- | 2.9% | |
8.0 | 9.2 | |
6 months ago | 3 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
SD-CN-Animation
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AnimDiff
1) generate video using https://github.com/camenduru/animatediff 2) upscale using SD-CN https://github.com/volotat/SD-CN-Animation 3) interpolate frames using https://github.com/google-research/frame-interpolation 4) add audio using https://huggingface.co/spaces/suno/bark
- Doctor Strange Multiverse Maestro (SD-CN)
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Controlnet Error: "No ControlNetUnit detected in args".
I removed two extensions I wasn't using that occur before it in alphabetical order (for video... SD-CN-Animation and Infinite Zoom ). I think it may have been the latter two which were the problem.
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I've been playing with AI transformations and made these gifs. If anyone has any interesting suggestions, I'll see if I can make some of them. Done with 'Craiyon' and 'Dream by WOMBO'
they are probably using something like this in background https://github.com/volotat/SD-CN-Animation
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Turning a viral NPC girl into an actual NPC. Made with SD-CN-Animation. Instruction in the comments.
Tool used: https://github.com/volotat/SD-CN-Animation
- Weekly Megathread - 14 May 2023
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Experimenting with SD-CN-Animation extension
Extension: SD-CN-Animation Model: Breaking Domain Realistic Seed: 435324545
- volotat/SD-CN-Animation: This script allows to automate video stylization task using StableDiffusion and ControlNet.
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New loopback animation method using FloweR + TemporalNet + LUFS
FloweR https://github.com/volotat/SD-CN-Animation/ Estimates a flow map out of last 4 for image (caveman txt2video)
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Optical flow installation for a Stable Diffusion extension
The command "conda install pytorch=1.6.0 torchvision=0.7.0 cudatoolkit=10.1 matplotlib tensorboard scipy opencv -c pytorch" is asking to install Google Authenticator in an environment, as part of a package install. Trying to install this https://github.com/princeton-vl/RAFT to run this https://github.com/volotat/SD-CN-Animation
private-gpt
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
PrivateGPT is a nice tool for this. It's not exactly what you're asking for, but it gets part of the way there.
https://github.com/zylon-ai/private-gpt
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PrivateGPT exploring the Documentation
Further details available at: https://docs.privategpt.dev/api-reference/api-reference/ingestion
- Show HN: I made an app to use local AI as daily driver
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privateGPT VS quivr - a user suggested alternative
2 projects | 12 Jan 2024
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
Run https://github.com/imartinez/privateGPT
Then
make ingest /path/to/folder/with/files
Then chat to the LLM.
Done.
Docs: https://docs.privategpt.dev/overview/welcome/quickstart
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Mozilla "MemoryCache" Local AI
PrivateGPT repository in case anyone's interested: https://github.com/imartinez/privateGPT . It doesn't seem to be linked from their official website.
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What Is Retrieval-Augmented Generation a.k.a. RAG
I’m preparing a small internal tool for my work to search documents and provide answers (with references), I’m thinking of using GPT4All [0], Danswer [1] and/or privateGPT [2].
The RAG technique is very close to what I have in mind, but I don’t want the LLM to “hallucinate” and generate answers on its own by synthesizing the source documents. As stated by many others, we’re living in interesting times.
[0] https://gpt4all.io/index.html
[1] https://www.danswer.ai/
[2] https://github.com/imartinez/privateGPT
- LM Studio – Discover, download, and run local LLMs
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Ask HN: Local LLM Recommendation?
https://www.reddit.com/r/LocalLLaMA/comments/14niv66/using_a...
https://github.com/imartinez/privateGPT
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Run ChatGPT-like LLMs on your laptop in 3 lines of code
I've been playing around with https://github.com/imartinez/privateGPT and https://github.com/simonw/llm and wanted to create a simple Python package that made it easier to run ChatGPT-like LLMs on your own machine, use them with non-public data, and integrate them into practical applications.
This resulted in Python package I call OnPrem.LLM.
In the documentation, there are examples for how to use it for information extraction, text generation, retrieval-augmented generation (i.e., chatting with documents on your computer), and text-to-code generation: https://amaiya.github.io/onprem/
Enjoy!
What are some alternatives?
AnimateDiff - Official implementation of AnimateDiff.
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
infinite-zoom-automatic1111-webui - infinite zoom effect extension for AUTOMATIC1111's webui - stable diffusion
gpt4all - gpt4all: run open-source LLMs anywhere
AnimateDiff - Official implementation of AnimateDiff.
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
RAFT
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
llama.cpp - LLM inference in C/C++
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
llm - An ecosystem of Rust libraries for working with large language models