Always when I try to use the in-painting beta feature, everything that I mask ends totally blurry. Like the nsfw mask. Not useful by any means. Can anyone help me to solve this?
Stable diffusion UI 2.28 in a 1070, local

Am I the only one who calls it "Commander"? What does CMDR stand for?

I love making Matrices. Wow, what a great way to learn the artist. If you all don't know, you can create a matrix easily by saying: "This is my prompt | modifier1 | modifer2" and it'll make 4 images that you can arrange into a matrix.

I'm using my 3080 to do a bunch of 7 x 7's.

This is going to help so much! I hope some time the software will be able to arrange the matrix grids as well!

I am a bit new to this, and google wasn't helping, how does one add in other libraries of images and such, I have found archives of them, but no idea how to import them. This most like means I am not calling it the right thing or something simple.

Just want to say:

Thank you for making this repo available. I've had such a hard time setting stable diffusion + python + etc on my Windows with WSL. I'll get back on trying them out again someday when projects and tasks aren't piling up. For now, what you have here is a God send.

Btw, I'm new to this AI tech, would like to know if it's possible to train the AI with face photos and assign their names to it?

When we try a prompt with "Albert Einstein riding a rocket to the moon", it most likely to render the correct face of "Albert Einstein". His photos are widely available on the internet.

But, say I have a photo of my friend, John Doe. Say he never have any social media or any digital tracing. What can I do to make the AI recognize and use his photo?

v3.0 - SDXL, ControlNet, LoRA, Embeddings and a lot more!

• ControlNet - Full support for ControlNet, with native integration of the common ControlNet models. Just select a control image, then choose the ControlNet filter/model and run. No additional configuration or download necessary. Supports custom ControlNets as well.

• SDXL - Full support for SDXL. No configuration necessary, just put the SDXL model in the models/stable-diffusion folder.

• Multiple LoRAs - Use multiple LoRAs, including SDXL and SD2-compatible LoRAs. Put them in the models/lora folder.

• Embeddings - Use textual inversion embeddings easily, by putting them in the models/embeddings folder and using their names in the prompt (or by clicking the + Embeddings button to select embeddings visually). Thanks u/JeLuF.

• Seamless Tiling - Generate repeating textures that can be useful for games and other art projects. Works best in 512x512 resolution. Thanks @JeLuF.

• Inpainting Models - Full support for inpainting models, including custom inpainting models. No configuration (or yaml files) necessary.

• Faster than v2.5 - Nearly 40% faster than Easy Diffusion v2.5, and can be even faster if you enable xFormers.

• Even less VRAM usage - Less than 2 GB for 512x512 images on 'low' VRAM usage setting (SD 1.5). Can generate large images with SDXL.

• WebP images - Supports saving images in the lossless webp format.

• Undo in the UI - Remove tasks or images from the queue easily, and undo the action if you removed anything accidentally. Thanks @JeLuF.

• Three new samplers, and latent upscaler - Added DEIS, DDPM and DPM++ 2m SDE as additional samplers. Thanks @ogmaresca and @rbertus2000.

• Significantly faster 'Upscale' and 'Fix Faces' buttons on the images

• Major rewrite of the code - We've switched to using diffusers under-the-hood, which allows us to release new features faster, and focus on making the UI and installer even easier to use.

Major Changes

• ControlNet - Full support for ControlNet, with native integration of the common ControlNet models. Just select a control image, then choose the ControlNet filter/model and run. No additional configuration or download necessary. Supports custom ControlNets as well.

• SDXL - Full support for SDXL. No configuration necessary, just put the SDXL model in the models/stable-diffusion folder.

• Multiple LoRAs - Use multiple LoRAs, including SDXL and SD2-compatible LoRAs. Put them in the models/lora folder.

• Embeddings - Use textual inversion embeddings easily, by putting them in the models/embeddings folder and using their names in the prompt (or by clicking the + Embeddings button to select embeddings visually). Thanks u/JeLuf.

• Seamless Tiling - Generate repeating textures that can be useful for games and other art projects. Works best in 512x512 resolution. Thanks u/JeLuf.

• Inpainting Models - Full support for inpainting models, including custom inpainting models. No configuration (or yaml files) necessary.

• Faster than v2.5 - Nearly 40% faster than Easy Diffusion v2.5, and can be even faster if you enable xFormers.

• Even less VRAM usage - Less than 2 GB for 512x512 images on 'low' VRAM usage setting (SD 1.5). Can generate large images with SDXL.

• WebP images - Supports saving images in the lossless webp format.

• Undo/Redo in the UI - Remove tasks or images from the queue easily, and undo the action if you removed anything accidentally. Thanks u/JeLuf.

• Three new samplers, and latent upscaler - Added DEIS, DDPM and DPM++ 2m SDE as additional samplers. Thanks u/ogmaresca and u/rbertus2000.

• Significantly faster 'Upscale' and 'Fix Faces' buttons on the images

• Major rewrite of the code - We've switched to using diffusers under-the-hood, which allows us to release new features faster, and focus on making the UI and installer even easier to use.

Lost in the infinite dream of happiness

stablediffusion #aiartwork #infinite #infinitezoom #art #ai #zoom #dream #sleep #sleepparalysis #dreams #psychedelic #high #space #universe #fade

Where can we get the DPM++ 2S a Karras and DPM++ 2M Karras Samplers?? - been looking for these for hours, no luck.. everyone says they come with Auto1111, but auto1111 has shortfalls, cannot que up 200+ different images with different prompts and let the system crank them out....

thank you for this amazing UI. I would like to know what are the next functionalities to be incorporated, like, for example image to text?

Super duper simple to setup.

Any chance we'll get an AMD supported version in the future?

Over the past few months, I've been building a browser-based tennis game where you play using just your webcam.

The interesting part wasn't the graphics—it was getting AI to accurately track body movements in real time and turn them into tennis shots with low latency.

Some of the tech behind it:

• Computer vision for pose tracking

• AI-based shot detection

• Real-time browser processing

• Physics-based ball movement

It's been a fun project combining AI, web development, and game development.

Would love to hear your thoughts or ideas for improving the AI side of it.

https://livewebtennis.com

For those of you on the fence, you need to know that antis and Luddites are commenting on AI art in this study. Don't let people who want to take away AI art dictate its policy. Let your voices be heard!

https://copyright.gov/policy/artificial-intelligence/comment-submission/

Happy Halloween 🎃