text2image-gui
stable-diffusion
text2image-gui | stable-diffusion | |
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23 | 186 | |
903 | 3,145 | |
- | - | |
9.3 | 0.0 | |
4 months ago | 8 months ago | |
C# | Jupyter Notebook | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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text2image-gui
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Why does Stable diffusion ""nmkd"" not see .safetensors format?
I read github
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I mad a python script the lets you scribble with SD in realtime
With the AMD guide
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'Everyone and Their Dog is Buying GPUs,' Musk Says as AI Startup Details Emerge
You can find NMKD here, and the readme should be quite simple to get it to work on your own machine for a basic SD setup: https://github.com/n00mkrad/text2image-gui
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I get ".safetensors" instead of ".ckpt" when downloading models?
So assuming you are suing the "NMKD" GUI i found an existing issue on the github page: The Issue.
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ELI5: Can Someone Give Me Some Simple Steps To Get Started On A Local Install?
Source code is available here if you want to check that out, the download for the precompiled program is on itch.io.
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HELPP sorry losing my mind here (i have a mx150 gpu which IS cuda compatible) also after that last line nothing happens!
The 1024x572 was from a comment talking about NMKD ,that mentions using OptimiseSD may run on less than 4GB.
- Looking for download link to NMKD 1.7.* for a friend anyone have one?
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So i wanted to ask it this a good requirements to download SD or I can't
Be sure to read the system requirements and the special AMD GPU info page.
- Update 1.7.0 of my Windows SD GUI is out! Supports VAE selection, prompt wildcards, even easier DreamBooth training, and tons of quality-of-life improvements. Details in comments.
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Dreambooth in Automatic1111 or locally?
Easiest way I have seen so far, working well for me. https://github.com/n00mkrad/text2image-gui/blob/main/DreamBooth.md
stable-diffusion
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Possible to load Civitai models in basujindal optimizedSD fork?
I am using this repo: https://github.com/basujindal/stable-diffusion and it works fine with e.g. this model: https://huggingface.co/CompVis/stable-diffusion-v-1-4-original
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40min to render 2x 256x256 pictures ..
That includes this optimized version : https://github.com/basujindal/stable-diffusion
- [Stable Diffusion] Coincé chez Unet: courir en mode EPS-Prédiction
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How to use safetensors locally (optimized-sd)?
Ah, I wasn't aware of that. I use this version, which was very easy to set up and use by CLI.
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[Stable Diffusion] stabile Diffusion 1.4 - CUDA-Speicherfehler
Used repo recommended in https://github.com/CompVis/stable-diffusion/issues/39 to use https://github.com/basujindal/stable-diffusion - same result.
- [Stable Diffusion] Aide avec Cuda hors de mémoire
- [Stable Diffusion] Comment créer notre propre modèle?
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Help installing optimisedSD please. Thank you so much!
As per the best solution I found, I have download this (https://github.com/basujindal/stable-diffusion) version and pasted the optimizedSD folder in the main (user>stable-diffusion-webui) folder as per site instruction.
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Stable Diffusion Web UI: Using Optimized SD Post-Installation
The git says you can simply grab the OptimizedSD folder and paste it into the installation path, which I did. However, I'm not sure how to call upon its functionality. Again, the reddit post says >Remember to call the optimized python script python optimizedSD/optimized_txt2img.py instead of standard scripts/txt2img. Though I'm not even sure where that script call is performed. Any ideas? Thanks in advance!
- [Stablediffusion] diffusion stable 1.4 - Erreur CUDA de mémoire insuffisante
What are some alternatives?
dreambooth-gui
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.
ai-notes - notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
stable-diffusion
stable-diffusion-webui - Stable Diffusion web UI
diffusers-uncensored - Uncensored fork of diffusers
gimp-stable-diffusion
chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
stable-diffusion