dream-factory
CodeProject.AI-Server
dream-factory | CodeProject.AI-Server | |
---|---|---|
17 | 6 | |
472 | 525 | |
- | 3.6% | |
8.7 | 8.2 | |
about 2 months ago | 5 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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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.
CodeProject.AI-Server
- Code AI previous version
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Selfhosted AI
I use CodeProject AI for my BlueIris setup. Works great. No false alarms.
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(Partial) outage?
CodeProject.AI https://github.com/codeproject/CodeProject.AI-Server
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How to cut down on motion alerts from vehicle lights? Trigger zone only covers bottom half but still getting triggers for almost every vehicle headlights/blue sirens as shown
definitely need to configure for using AI. BI is now integrating with CP.AI (https://www.codeproject.com/Articles/5322557/CodeProject-AI-Server-AI-the-easy-way) (https://github.com/codeproject/CodeProject.AI-Server). totally the way to go.
- Blue Iris + Deepstack ai spec review
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CodeProject.AI New Release Version 1.5.5
Raise it as an issue on their github repo.
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]
docker-wyze-bridge - WebRTC/RTSP/RTMP/LL-HLS bridge for Wyze cams in a docker container
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
dream-factory-prompt-files - Some interesting prompt files for Dream Factory.
whisper.cpp - Port of OpenAI's Whisper model in C/C++
SDAtom-WebUi-us - Queue system for AUTOMATIC1111's webui
stable-diffusion-webui - Stable Diffusion web UI
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
stable-karlo - Upscaling Karlo text-to-image generation using Stable Diffusion v2.
whisper - Robust Speech Recognition via Large-Scale Weak Supervision