fast-stable-diffusion
efficient-dreambooth
| fast-stable-diffusion | efficient-dreambooth | |
|---|---|---|
| 239 | 9 | |
| 7,310 | 45 | |
| - | - | |
| 8.6 | 10.0 | |
| 17 days ago | over 1 year ago | |
| Python | Dockerfile | |
| MIT License | - |
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fast-stable-diffusion
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Working Colab notebooks for training Dreambooth?
I tried using TheLastBen's fast dreambooth trainer. I managed to train a ckpt file but I can't run it.
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Running AUTOMATIC1111 on Google Colab
You have a colab from ThelastBen It uses to be thes best at the time when auto1111 was working in google colab free. https://github.com/TheLastBen/fast-stable-diffusion
- Stability AI releases its latest image-generating model, Stable Diffusion XL 1.0
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Google Colab disconnects after 5 mins of hosting A1111
Using https://github.com/TheLastBen/fast-stable-diffusion
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I'm kinda new to all of this and just wanted to ask... How can I fix something like this? Tried inpaint but didn't work even after changing parameters and img2img make it lose quality...
This repo offers a template how to start with SD on runpod https://github.com/TheLastBen/fast-stable-diffusion. But I know how to code, si I made my own solution.
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Unable to use ControlNet on AUTO1111 GUI - Google Colab Notebook
I can confirm I'm using the latest version of the colab notebook of this repo (https://github.com/TheLastBen/fast-stable-diffusion). Anyone can point to any solutions to this problem? Thanks in advance!
- Automatic 1111 not working
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Useful Links
TheLastBen's Fast DB SD Colabs, +25-50% speed increase, AUTOMATIC1111 + DreamBooth
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Can you use other base model to train your own model with TheLastBen or ShivamShrirao collab?
CalledProcessError Traceback (most recent call last) in () 182 wget.download('https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/det.py') 183 print('Detecting model version...') --> 184 Custom_Model_Version=check_output('python det.py '+sftnsr+' --MODEL_PATH '+MODEL_PATH, shell=True).decode('utf-8').replace('\n', '') 185 clear_output() 186 print(''+Custom_Model_Version+' Detected')
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How to Install and Run Stable Diffusion in Automatic1111 with Deforum in Google Collab?
have you tried https://github.com/TheLastBen/fast-stable-diffusion ?
efficient-dreambooth
- Want to use your own face ? Uploading a Tutorial today !
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Inserting your face to any picture after Dreambooth (or other faces)
Well, i don't better make a video to install this repo https://github.com/smy20011/efficient-dreambooth in windows, so we all can train our models?
- Automatic1111 with WORKING local textual inversion on 8GB 2090 Super !!!
- Show HN: Train Stable Diffusion Dreambooth on 1080ti
- Train dreambooth on 11GB GPU with prebuilt docker image
- Dreambooth in 11GB of VRAM
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Help with Dreambooth
Option1: you wait for people to push the limits. its currently at 11gb.
What are some alternatives?
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
Dreambooth-Stable-Diffusion-cpu - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
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.
dreambooth-docker
stable-diffusion-tensorflow - Stable Diffusion in TensorFlow / Keras
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion - A latent text-to-image diffusion model
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.
stable-dreambooth-optimized - Dreambooth implementation based on Stable Diffusion with minimal code.