ollama-webui
stable-diffusion-webui
ollama-webui | stable-diffusion-webui | |
---|---|---|
14 | 2,808 | |
5,789 | 131,121 | |
- | - | |
9.8 | 9.9 | |
3 months ago | 1 day ago | |
Svelte | Python | |
MIT License | MIT |
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ollama-webui
- Run copilot locally
- Show HN: I made an app to use local AI as daily driver
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Exploring Podman: A More Secure Docker Alternative
I'm a podman beginner, trying to install ollama-webui(1) using Podman on M2 MBA.
I started up Podman Desktop, and did a terminal command "docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v ollama-webui:/app/backend/data --name ollama-webui --restart always ghcr.io/ollama-webui/ollama-webui:main" based on Github's instructions, but it gave a error message something about "host".
Do you know what is the problem and how do I overcome this?
If I run the above command using Docker Desktop, it runs and installs Ollama-WebUI just fine.
(1) https://github.com/ollama-webui/ollama-webui ("Installing with Docker")
Thank you.
- Mixtral: Mixture of Experts
- Run Mistral 7B on M1 Mac
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OpenAI's New Strategy
I set up Ollama in a docker container (really easy) and I use the Ollama web-ui here, that's very much like ChatGPT, and I have that in a container as well.
- chatgpt alternative
- How can I configure the same settings I get in the llama.cpp webUI with Ollama on macOS?
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LibreChat
The primary use case here seems to be that it might be possible to use this tool to spend <$20/mo for the same feature set as ChatGPT+. It does not currently make any effort to support locally-hosted open source models, which is what I would have assumed from its name.
If you're interested in a fully Libre LLM stack, I've had fun lately with ollama [0] and ollama-webui [1]. It was pretty trivial to take ollama-webui's docker-compose file and set up a locally-running chat server with Mistral 7B. Trying out different models and prompts was likewise very easy to get started with.
Mistral isn't anything like as good as GPT-4, but it's Apache licensed and fully local, which meets my definition of Libre. I'll continue to use both while the FOSS stacks catch up, but it's fun to keep up with the progress on the open source stuff as tooling develops.
[0] https://github.com/jmorganca/ollama
[1] https://github.com/ollama-webui/ollama-webui
- LM Studio – Discover, download, and run local LLMs
stable-diffusion-webui
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Show HN: I made an app to use local AI as daily driver
* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.
- https://diffusionbee.com/
- https://github.com/comfyanonymous/ComfyUI
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...
I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.
But again, it would be nice to have first class support to locally participate in the fun.
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Ask HN: What is the state of the art in AI photo enhancement?
In Auto1111, that just uses Image.blend. :)
https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...
- How To Increase Performance Time on MacOS
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Can anyone suggest an AI model that can help me enhance a poorly drawn logo?
I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.
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Seeking out an experienced and empathetic coding buddy.
That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.
- can't get it working with an AMD gpu
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SD extension that allows for setting override
Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094
- Need to write an application to use Stable Diffusion on my desktop PC - which resource should I learn to use?
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4090 Speed Decrease on each Generation/Iteration
version: v1.6.1 • python: 3.10.13 • torch: 2.0.1+cu118 • xformers: 0.0.20 • gradio: 3.41.2 • checkpoint: 6e8d4871f8
What are some alternatives?
code-llama-for-vscode - Use Code Llama with Visual Studio Code and the Continue extension. A local LLM alternative to GitHub Copilot.
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
LibreChat - Enhanced ChatGPT Clone: Features OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, Bing, Anthropic, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting. More features in development
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
llamafile - Distribute and run LLMs with a single file.
SHARK - SHARK - High Performance Machine Learning Distribution
open-webui - User-friendly WebUI for LLMs (Formerly Ollama WebUI)
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
MindMac - Issue Tracker for elegant client for MacOS
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.
caasa - Container as a Service admin
safetensors - Simple, safe way to store and distribute tensors