stable-diffusion
txt2imghd
Our great sponsors
stable-diffusion | txt2imghd | |
---|---|---|
142 | 22 | |
2,438 | 679 | |
- | - | |
9.8 | 0.0 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stable-diffusion
- [Stable Diffusion] Aide nécessaire à l'augmentation de la taille du fichier maximum sur l'installation locale
- [Machine Learning] [P] Exécutez une diffusion stable sur le GPU de votre M1 Mac
- Its time!
-
Anybody running SD on a Macbook Pro? What are you using and how did you install it?
Yes, you can install it with Python! https://github.com/lstein/stable-diffusion works with macOS, and you can control all the common parameter via their WebUI or CLI :)
-
How do I save the arguments for images I create when using the terminal? (Apple M1 Pro)
I'm using lstein fork ("dream") and when I create an image from the terminal, it also writes back to the terminal like this:
- I Resurrected “Ugly Sonic” with Stable Diffusion Textual Inversion
-
AI Seamless Texture Generator Built-In to Blender
> Whenever I ask for something like ‘seamless tiling xxxxxx’ it kinda sorta gets the idea, but the resulting texture doesn’t quite tile right.
Getting seamless tiling requires more than just have "seamless tiling" in the prompt. It also depends on if the fork you're using has that feature at all.
https://github.com/lstein/stable-diffusion has the feature, but you need to pass it outside the prompt. So if you use the `dream.py` prompt cli, you can pass it `"Hats on the ground" --seamless` and it should be perfectly tilable.
-
Auto SD Workflow - Update 0.2.0 - "Collections", Password Protection, Brand new UI + more
From https://github.com/lstein/stable-diffusion
-
Stable Diffusion GUIs for Apple Silicon
Stable Diffusion Dream Script: This is the original site/script for supporting macOS. I found this soon after Stable Diffusion was publicly released and it was the site which inspired me to try out using Stable Diffusion on a mac. They have a web-based UI (as well as command-line scripts) and a lot of documentation on how to get things working.
-
Still can't believe this technology is real. My talentless 2 minute sketch on the left.
I’m pretty sure it works for M2 as well - basically the newer ARM-based Macs. The instructions to get it working are detailed! https://github.com/lstein/stable-diffusion
txt2imghd
-
Any sites or Programs with txt2imghd/SD Upscale as an upscaler?
I mean this tool: https://github.com/jquesnelle/txt2imghd
-
What do the "Scale Latent" and "Denoising strength" settings (under Highres. fix) do in the Automatic1111 repo?
The dictionary definition of upscale is to increase the size or improve the quality of. or convert (an image or video) so that it displays correctly in a higher resolution format. It's just scaling in one direction, the opposite of downscaling. Even the original author of high res fix uses word upscaling because the original library uses Real-ESRGAN to upscale transient images. A1111 repo provides an option to use an upscaling model or just bilinear interpolation for this step.
-
Upscale to huge sizes and add detail with SD Upscale, it's easy!
(4) What the SD upscaler does is chop the image into tiles, re-run SD on the tiles, and then stitch them back together. img2imgHD, and this custom script are other options that do a similar thing. You can also do it manually and combine the tiles in photoshop/gimp/krita, but it's a lot more work.
-
My best cyborgs so far
Im not using Collab. Running these on NVIDIA RTX A6000. I use SD then upscale with https://github.com/jquesnelle/txt2imghd
- My process to upscale an image through img2img
- The upscaling tech is really impressive
- What should I even call this?
- Obama Biden is pretty cursed...
- Landscapes, both scifi and fantasy, are incredible in this model. Made a few new wallpapers using a combination of img2imghd + RealESRGan with some great results. Things really took off once I learned how to use the --generated option to upscale other finds! Original pics at 150 steps, 768x512
-
A better (?) way of doing img2img by finding the noise which reconstructs the original image
https://github.com/jquesnelle/txt2imghd The link was literally in the Auto's code's comments.
What are some alternatives?
waifu-diffusion - stable diffusion finetuned on weeb stuff
stable-diffusion-gobig-txt2imghd - Stable diffusion using a standalone implementation of txt2imghd, which is similar to GoBig
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion - A latent text-to-image diffusion model
diffusers-uncensored - Uncensored fork of diffusers
dream-textures - Stable Diffusion built-in to Blender
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.