unprompted VS InvokeAI

I'm pleased to announce the release of Unprompted v10.0.0, the Swiss Army knife extension for A1111. This is a major update that brings a number of new features and improvements, including:

Unprompted: https://github.com/ThereforeGames/unprompted

you can get the same effect with unprompted zoom enhance feature. just paste this into the prompt field.

It's been a while since my last Unprompted post, so I wanted to share some of the new things you can do with this extension. 🙂

Also if you're curious, check out the Unprompted extension's implementation of img2pez for a1111 in img2img. Basic gist is that it uses machine learning to examine the image and tries to find tokens that would likely produce that image. I've found it to be pretty far off the mark most the time, but the terms it gives you can actually be quite useful.

There's a feature in unprompted that does this.

One thing to consider: there is an extension that will let you write some scripts as prompts, and it extends what you can do with wildcards. https://github.com/ThereforeGames/unprompted.git

Solution for 9.2.0: Use modified https://github.com/ThereforeGames/unprompted/issues/84 you posted. This made a stitch image in %TEMP% and had the modified image displayed in Auto1111 GUI. Only reason I am @ing is because if I had this issue on 9.2.0 I'm sure others are. I had to use FULL shortcode in wizard zoom enhance section; I had to use FULL shortcode in wizard zoom enhance section; [if batch_index=0][after][zoom_enhance show_original mask='face' replacement='[insert prompt]' mask_sort_method='left-to-right' upscale_method='Nearest Neighbor' downscale_method='Lanczos' blur_size=0.03 cfg_scale_min=3.0 denoising_max=0.65 mask_size_max=0.3 mask_method='clipseg' sharpen_amount=1.0 color_correct_method='none' color_correct_timing='pre' color_correct_strength=1.0 min_area=50.0 contour_padding=0.0 upscale_width=512.0 upscale_height=512.0 hires_size_max=1024.0][/after][/if]

It was a long time ago I used it but I think it takes some learning I would suggest reading the starter guide the short code relates to the extra detail but you need to learn how to write it I'm pretty sure there is a built in helper sorry I haven't used it extensively there must be a video guide on YouTube too there is for almost all of this ai stuff https://github.com/ThereforeGames/unprompted/blob/main/docs/GUIDE.md

And the updated extension here: https://github.com/ThereforeGames/unprompted

Probably not, since I have no idea what you're talking about. I've just been using the models that InvokeAI (2.3, I only just now saw there's a 3.0) downloads for me [0]. The SD1.5 one is as good as ever, but the SD2 model introduces artifacts on (many, but not all) faces and copyrighted characters.

[0] https://github.com/invoke-ai/InvokeAI

I actually used the rocm/pytorch image you also linked.

I'm not sure what you're pointing to with your reference to the Fedora-based images. I'm quite happy with my NixOS install and really don't want to switch to anything else. And as long as I have the correct kernel module, my host OS really shouldn't matter to run any of the images.

And I'm sure it can be made to work with many base images, my point was just that the dependency management around pytorch was in a bad state, where it is extremely easy to break.

> Anyways, hopefully this PR fixes the immediate issue: https://github.com/invoke-ai/InvokeAI/pull/5714/files

It does! At least for me. It is my PR after all ;)

The data being flagged is not in that github repo, it's fetched from elsewhere and I don't fancy spending time looking for it. The alert is for 'Sirefef!cfg' which has been reported as a false positive with a bunch of other stable diffusion projects (https://www.reddit.com/r/StableDiffusion/comments/101zjec/trojanwin32sirefefcfg_an_apparently_common_false/, https://www.reddit.com/r/StableDiffusion/comments/xmhukb/trojan_in_waifudiffusion_model_file/, https://github.com/invoke-ai/InvokeAI/issues/2773 )

I haven’t tried it recently, but InvokeAI runs on Mac. Invoke. I used to run on my MacBook, but have since gotten a Win laptop.

There are already a number of local, inference options that are (crucially) open-source, with more robust feature sets.

And if the defense here is "but Auto1111 and Comfy don't have as user-friendly a UI", that's also already covered. https://github.com/invoke-ai/InvokeAI

https://github.com/invoke-ai/InvokeAI should work on your machine. For LLM models, the smaller ones should run using llama.cpp, but I don't think you'll be happy comparing them to ChatGPT.

Stable Diffusion. /r/stablediffusion There are many tutorials on how to set it up locally and use it. InvokeAI is the easiest way to set it up. https://github.com/invoke-ai/InvokeAI

InvokeAI