diffusers
A1111-Web-UI-Installer
diffusers | A1111-Web-UI-Installer | |
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105 | 86 | |
1,889 | 1,829 | |
0.1% | 0.1% | |
7.0 | 3.3 | |
almost 2 years ago | over 1 year ago | |
Python | PowerShell | |
Apache License 2.0 | - |
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diffusers
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Useful Links
ShivamShrirao's Diffusers Pretrained diffusion models across multiple modalities.
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DreamBooth fine-tuning failing to get the style
Like the title say I'm trying to fine-tune a model to match a style of a popular manhwa. I'm using the ShivamShrirao Google Colab to accomplish this.
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How to resume Dreambooth training?
I am running the DreamBooth_Stable_Diffusion.ipynb notebook from ShivamShrirao locally on my machine. Let's say I have trained for 500 iterations and it hasn't converged yet. How do I make it resume training from that iteration so it can do another 500?
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Non web-ui colab
My understanding, based on messages from an (alleged) representative of colabs, is that the webui is the problem, not SD itself. This also seems to be the consensus in the comments section of other posts. I have not yet seen a link to colab based webui alternatives so here is something I found from a tutorial. I am certain that there are better alternatives. Anyone have a better idea? This will still probably be useful to other people like me who are just messing around.
- [Stablediffusion] Guide pour DreamBooth avec 8 Go de vram sous Windows
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Finally got Dreambooth running without errors... but is it even using the model I trained?
I'm running ShivamShrirao's fork of diffusers; ran into a fp16 issue and had to patch in a fix from the main branch ( #1567 ).
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Shivam Stable Diffusion: Getting same example models repeatedly (SD + Dreambooth)
I am running Shivam Stable Diffusion Jupyter notebook: diffusers/DreamBooth_Stable_Diffusion.ipynb at main · ShivamShrirao/diffusers · GitHub.
- Running Stable Diffusion locally with personalized changes
- Can't create embedding's with dreambooth ckpt
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Weird issue using Shivam's Diffuser notebook
Are you using this one? https://github.com/S
A1111-Web-UI-Installer
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SDXL is super sluggish on A1111?
GitHub - EmpireMediaScience/A1111-Web-UI-Installer: Complete installer for Automatic1111's infamous Stable Diffusion WebUI
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How do i get started with stable diffusion
You can use this launcher it will do everything for you, you just need to choice where to install it and wether you want to download the base model or not
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A1111 UI complete installers for Windows?
I've been out of the loop for a bit, and it seems that the web installer I ran the last time is not being updated anymore. Are there any other updated installers for Windows that will set up everything that people are using now?
- i want to start
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which AI is this?
Or this https://github.com/EmpireMediaScience/A1111-Web-UI-Installer seems like a simplified installer that might do the installation mostly for you. I have never tried it, so you are on your own with that. Be sure to read the whole page before attempting installation.
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How can I install DPM++ 2M SDE Karras?
I'm always install by this link: https://github.com/EmpireMediaScience/A1111-Web-UI-Installer/releases
- how the fuck do i install automatic1111
- Error completing request
- To all my haters .
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According to the poll on the recent thread, /r/dalle2 community decided to keep the subreddit restricted on Reddit.
This is a good place to start reading. Given the open-source nature of SD, there are setups of various difficulty available. A1111 is the "standard" people enjoy because it's easy to plug in new stuff (ControlNet, new models, etc.), but it's not inherently easy to set up and get going. There is an installer for it, but I haven't tried it.
What are some alternatives?
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
stable-diffusion-webui - Stable Diffusion web UI
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]
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
InvokeAI - Invoke 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, and serves as the foundation for multiple commercial products.