pycasso
dream-factory
| pycasso | dream-factory | |
|---|---|---|
| 1 | 17 | |
| 67 | 472 | |
| - | - | |
| 7.3 | 8.7 | |
| about 2 months ago | about 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
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pycasso
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I built a Raspberry Pi E-Paper frame that shows me random AI art every day
Code: https://github.com/jezs00/pycasso
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.
What are some alternatives?
epdtext - A simple display manager app for the WaveShare 2.7in e-Paper Display
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]
btcticker - ePaper Cryptocurrency Ticker [Moved to: https://github.com/veebch/btcticker]
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
btcticker - ePaper Cryptocurrency Ticker
dream-factory-prompt-files - Some interesting prompt files for Dream Factory.
e_paper_weather_display - Raspberry Pi weather display using Waveshare e-paper display and Open Weather Map API
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.
SDAtom-WebUi-us - Queue system for AUTOMATIC1111's webui
stable-diffusion-webui - Stable Diffusion web UI
stable-karlo - Upscaling Karlo text-to-image generation using Stable Diffusion v2.
stable-diffusion-nvidia-docker - GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.