ControlNet-v1-1-nightly
fast-stable-diffusion
ControlNet-v1-1-nightly | fast-stable-diffusion | |
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31 | 239 | |
4,349 | 7,326 | |
- | - | |
8.4 | 8.6 | |
6 months ago | about 1 month ago | |
Python | Python | |
- | MIT License |
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ControlNet-v1-1-nightly
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Making a ControlNet inpaint for sdxl
1- https://github.com/lllyasviel/ControlNet-v1-1-nightly/issues/89
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AI Yearbook Photos Workflow with Stable Diffusion 1.5 Automatic1111
Install ControlNet and download the models you want to use (canny/depth/openpose should be enough for this): https://github.com/lllyasviel/ControlNet-v1-1-nightly
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can you downgrade Controlnet?
you can find the previous version on their git and if it's a previous version of v1.1 then you probably have to search for the right branch on the new git version and download that
- Could you help me with this problem?
- Controlnet v1.1 Lineart
- Request for current ControlNet information
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AI conceptual massing iterations within a context image with input control sketch
Stable Diffusion: https://huggingface.co/runwayml/stable-diffusion-v1-5 with ControlNet extension: https://github.com/lllyasviel/ControlNet-v1-1-nightly running on Automatic1111 web UI: https://github.com/AUTOMATIC1111/stable-diffusion-webui
- Inpaint Anything (uses "Segment Anything") - Cool A1111 Extension not (yet) on the in App list
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Architectural design using Stable Diffusion and ControlNet
Sure thing, after testing midjourney a bit I found out that yhe quality of images produced is best but you have zero control on over what is produced. The big breakthrough here is ControlNet which is a Stable Diffusion extension that makes you control the initial noise based on image inputs (or at least this is what i understand) more on it here: https://github.com/lllyasviel/ControlNet-v1-1-nightly
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Setting Removed from ControlNET - "Skip img2img processing when using img2img initial image" - why?
https://github.com/lllyasviel/ControlNet-v1-1-nightly/issues/61 it seems get removed as duplicated.
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?
sd-webui-controlnet - WebUI extension for ControlNet
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
ControlNet - Let us control diffusion models!
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.
sd-webui-reactor - Fast and Simple Face Swap Extension for StableDiffusion WebUI (A1111 SD WebUI, SD WebUI Forge, SD.Next, Cagliostro)
stable-diffusion-tensorflow - Stable Diffusion in TensorFlow / Keras
ControlNet-v1-1-nightly-colab - controlnet v1.1 colab
efficient-dreambooth - [Moved to: https://github.com/smy20011/dreambooth-docker]
style2paints - sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
sd-webui-inpaint-anything - Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
stable-diffusion - A latent text-to-image diffusion model