stable-diffusion-nvidia-docker
dream-factory
stable-diffusion-nvidia-docker | dream-factory | |
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6 | 17 | |
346 | 471 | |
- | - | |
7.0 | 8.7 | |
6 months ago | about 1 month ago | |
Python | Python | |
MIT License | MIT License |
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stable-diffusion-nvidia-docker
- Does Stable Diffusion support NVLink?
- The guy behind the viral fake photo of the Pope in a puffy coat says using AI to make images of celebrities 'might be the line' — and calls for greater regulation
- Utilizing Multiple GPUs - Repurposing Mining Rig
- Can we start a list of Stable Diffusion 2.0 compatible UI's?
- Using several computers (GPUs) to speed up Stable Diffusion computation times
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Clustering GPUs for use with SD
Any update? I just searched through the discord for dataparallel and found someone mentioned this link to a docker image which appears to support multi GPU but I don't have any experience with docker and haven't seen where dataparallel is used in any of the files. I'm also searching through all the mentions of K80.
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?
deforum-stable-diffusion
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]
dream-textures - Stable Diffusion built-in to Blender
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
nvidia-gpu-scheduler - NVIDIA GPU compute task scheduling utility
dream-factory-prompt-files - Some interesting prompt files for Dream Factory.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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.
Stable-Diffusion-2.0-CPU-or-GPU-Colab-Gradio - Config files for my GitHub profile.
SDAtom-WebUi-us - Queue system for AUTOMATIC1111's webui
Mask_RCNN_Pytorch - Mask R-CNN for object detection and instance segmentation on Pytorch
stable-diffusion-webui - Stable Diffusion web UI