dream-factory
text-generation-webui
dream-factory | text-generation-webui | |
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17 | 876 | |
472 | 36,827 | |
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8.7 | 9.9 | |
about 2 months ago | 3 days ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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dream-factory
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80's-90's fantasy art character generator w/ dynamic prompt (DS&D)
Good stuff! For anyone else that uses Dream Factory, I've converted this to a .prompts file for use with it here:
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Use Cases for Large Amounts of GPU’s
BTW if you aren't already using dream factory to manage your GPUs in stable diffusion you should be. It works with automatic1111 too so you won't be losing any abilities.
- Selfhosted AI
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For individual users, would it be helpful to use multiple graphics cards to generate images and train models?
Take a look at Dream Factory - it's a multi-GPU capable front-end for Auto1111. It'll let you run as many GPUs as you want in parallel, and adds a bunch of automation and remote management features as well.
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Big collection ready to use prompt.
I compiled these into a single Dream Factory .prompt file here: https://github.com/rbbrdckybk/dream-factory-prompt-files/tree/main/prompts
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Are dual GPU's viable for stable diffusion
Correct and you can use Dream Factory to help manage your queue across GPUs. But keep in mind you are still only using individual cards for individual prompts meaning multiple cards can't improve the speeds of individual prompt generation nor allow for larger images.
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A1111 new hires fix
Wow 24 instances! Just in case you weren't aware, Dream Factory is a multi-GPU frontend for Auto1111. It'll let you manage sending work to all those GPUs from one place!
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Would dual Nvidia graphics cards provide any significant benefits for any workflows using Stable Diffusion?
Dream Factory will let you use multiple GPUs in parallel. So essentially adding a 2nd identical GPU will double your output.
- Utilizing Multiple GPUs - Repurposing Mining Rig
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I'm back with a new spreadsheet of 100 prompt examples using the textual inversion embedding method to make SDv2.1 a bit better for your prompts. (link in description)
No worries - Dream Factory is essentially a front-end for the popular Automatic1111 SD repo. It adds a bunch of prompt automation and remote management features, along with a multi-GPU engine (works fine with just 1 GPU too) to Auto1111.
text-generation-webui
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Ask HN: What is the current (Apr. 2024) gold standard of running an LLM locally?
Some of the tools offer a path to doing tool use (fetching URLs and doing things with them) or RAG (searching your documents). I think Oobabooga https://github.com/oobabooga/text-generation-webui offers the latter through plugins.
Our tool, https://github.com/transformerlab/transformerlab-app also supports the latter (document search) using local llms.
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Ask HN: How to get started with local language models?
You can use webui https://github.com/oobabooga/text-generation-webui
Once you get a version up and running I make a copy before I update it as several times updates have broken my working version and caused headaches.
a decent explanation of parameters outside of reading archive papers: https://github.com/oobabooga/text-generation-webui/wiki/03-%...
a news ai website:
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text-generation-webui VS LibreChat - a user suggested alternative
2 projects | 29 Feb 2024
- Show HN: I made an app to use local AI as daily driver
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Ask HN: People who switched from GPT to their own models. How was it?
The other answers are recommending paths which give you #1. less control and #2. projects with smaller eco-systems.
If you want a truly general purpose front-end for LLMs, the only good solution right now is oobabooga: https://github.com/oobabooga/text-generation-webui
All other alternatives have only small fractions of the features that oobabooga supports. All other alternatives only support a fraction of the LLM backends that oobabooga supports, etc.
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AI Girlfriend Is a Data-Harvesting Horror Show
The example waifu in text-generation-webui is good enough for me.
https://github.com/oobabooga/text-generation-webui/blob/main...
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Nvidia's Chat with RTX is a promising AI chatbot that runs locally on your PC
> Downloading text-generation-webui takes a minute, let's you use any model and get going.
What you're missing here is you're already in this area deep enough to know what ooogoababagababa text-generation-webui is. Let's back out to the "average Windows desktop user" level. Assuming they even know how to find it:
1) Go to https://github.com/oobabooga/text-generation-webui?tab=readm...
2) See a bunch of instructions opening a terminal window and running random batch/powershell scripts. Powershell, etc will likely prompt you with a scary warning. Then you start wondering who ooobabagagagaba is...
3) Assuming you get this far (many users won't even get to step 1) you're greeted with a web interface[0] FILLED to the brim with technical jargon and extremely overwhelming options just to get a model loaded, which is another mind warp because you get to try to select between a bunch of random models with no clear meaning and non-sensical/joke sounding names from someone called "TheBloke". Ok...
Let's say you somehow braved this gauntlet and get this far now you get to chat with it. Ok, what about my local documents? text-generation-webui itself has nothing for that. Repeat this process over the 10 random open source projects from a bunch of names you've never heard of in an attempt to accomplish that.
This is "I saw this thing from Nvidia explode all over media, twitter, youtube, etc. I downloaded it from Nvidia, double-clicked, pointed it at a folder with documents, and it works".
That's the difference and it's very significant.
[0] - https://raw.githubusercontent.com/oobabooga/screenshots/main...
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Ask HN: What are your top 3 coolest software engineering tools?
Maybe a copout answer, but setting up a local LLM on my development machine has been invaluable. I use Deep Seek Coder 6.7 [0] and Oobabooga's UI [1]. It helps me solve simple problems and find bugs, while still leaving the larger architecture decisions to me.
[0] https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instr...
[1] https://github.com/oobabooga/text-generation-webui
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Meta AI releases Code Llama 70B
You can download it and run it with [this](https://github.com/oobabooga/text-generation-webui). There's an API mode that you could leverage from your VS Code extension.
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Ollama Python and JavaScript Libraries
Same question here. Ollama is fantastic as it makes it very easy to run models locally, But if you already have a lot of code that processes OpenAI API responses (with retry, streaming, async, caching etc), it would be nice to be able to simply switch the API client to Ollama, without having to have a whole other branch of code that handles Alama API responses. One way to do an easy switch is using the litellm library as a go-between but it’s not ideal (and I also recently found issues with their chat formatting for mistral models).
For an OpenAI compatible API my current favorite method is to spin up models using oobabooga TGW. Your OpenAI API code then works seamlessly by simply switching out the api_base to the ooba endpoint. Regarding chat formatting, even ooba’s Mistral formatting has issues[1] so I am doing my own in Langroid using HuggingFace tokenizer.apply_chat_template [2]
[1] https://github.com/oobabooga/text-generation-webui/issues/53...
[2] https://github.com/langroid/langroid/blob/main/langroid/lang...
Related question - I assume ollama auto detects and applies the right chat formatting template for a model?
What are some alternatives?
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]
KoboldAI - KoboldAI is generative AI software optimized for fictional use, but capable of much more!
dream-factory-prompt-files - Some interesting prompt files for Dream Factory.
llama.cpp - LLM inference in C/C++
CodeProject.AI-Server - CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
gpt4all - gpt4all: run open-source LLMs anywhere
SDAtom-WebUi-us - Queue system for AUTOMATIC1111's webui
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
stable-diffusion-webui - Stable Diffusion web UI
KoboldAI-Client
stable-karlo - Upscaling Karlo text-to-image generation using Stable Diffusion v2.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.