ddetailer
fast-stable-diffusion
ddetailer | fast-stable-diffusion | |
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12 | 239 | |
335 | 7,316 | |
- | - | |
3.8 | 8.6 | |
5 months ago | 17 days ago | |
Python | Python | |
- | MIT License |
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ddetailer
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Can't use controlnet anymore
Looks like it's a known issue. Looks like you'll need to remove the mmcv folder in your venv folder.
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After training 50+ LoRA Models here is what I learned (TIPS)
One way to avoid the inpainting issue is to use Ddetailer or Adetailer to auto-inpaint detected faces. I use the latter as I couldn't get ddetailer to work, but the fundamental feature is the same. It does a face-detection and inpainting pass after the initial generation (and hires fix), which means your first output already has the face fixed somewhat. And then you can go in to correct smaller details.
- Here are some more hires images I made (max size 4096 * 2752) by webUI
- Restore faces: when?
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Getting strange error when booting up Automatic1111 but it stills run fine
You can downgrade the mmdet https://github.com/dustysys/ddetailer/issues/41 or move to active fork https://github.com/Bing-su/dddetailer
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Batch face swap script, see comment
Check also GitHub - dustysys/ddetailer It's not obvious how to adjust it's settings but it's specifically for detecting/segmentig persons and faces
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Theory about bad small faces. Could it just be how the noise steps are scheduled?
use ddetailer my dude https://github.com/dustysys/ddetailer seems like is exactly what you need
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1.5 keeps spitting out garbled garbage, Ive tried every single combo of settings, ive tried prompts from my 1.4 logs that gave me good results in the past and ive tried multiple models. Whats going on?
Get DDetailer Makes faces super HD without having to go into "High Resolution Fix", like... everyone needs this, install it on extensions page by pasting the GitHub link.
- the ddetailer extension works amazing with inpainting model!
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so i am a college student and a total newbie in this, would like some advice :-D
I'm not sure if there is something like this, because you need to manually highlight the things you need to inpaint, but there was extension for auto-masking... Oh, it actually made for inpainting. https://github.com/dustysys/ddetailer or you can go to available tab in extensions.
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 ?
What are some alternatives?
adetailer - Auto detecting, masking and inpainting with detection model.
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
dddetailer - Detection Detailer hijack edition
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.
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-tensorflow - Stable Diffusion in TensorFlow / Keras
sd-webui-segment-anything - Segment Anything for Stable Diffusion WebUI
efficient-dreambooth - [Moved to: https://github.com/smy20011/dreambooth-docker]
civitai - A repository of models, textual inversions, and more
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
stable-diffusion-webui-anti-burn - Extension for AUTOMATIC1111/stable-diffusion-webui for smoothing generated images by skipping a few very last steps and averaging together some images before them.
stable-diffusion - A latent text-to-image diffusion model