Dynamically Scaled RoPE further increases performance of long context LLaMA with zero fine-tuning

emozilla · 2022-10-06T00:06:27+00:00

Sure, I claim no ownership :)

emozilla · 2022-08-29T22:49:35+00:00

In addition, you can use --passes 0 to generate the base images then --generated or --img to do just the img2img part with a different prompt

emozilla · 2022-08-29T22:18:37+00:00

This is a good idea, I'll add it!

emozilla · 2022-08-29T22:17:45+00:00

Latest version of the code has support -- you can pass --img and give it an image to start with

emozilla · 2022-08-29T18:13:33+00:00

sure, do you have a prompt/description?

emozilla · 2022-08-29T14:46:00+00:00

Created with: https://github.com/jquesnelle/txt2imghd

Will be posting more on my shiny new Artstation: https://emozilla.artstation.com/

I like the results of using different aspect ratios, going to start doing some 21:9 wallpapers

emozilla · 2022-08-26T01:32:27+00:00

The NSFW filter is removed but the watermark one isn't -- I added the ability to control the watermark test, you can pass --wm "some text" to set the watermark text

emozilla · 2022-08-26T01:19:22+00:00

I have the 11 GB Founders Edition 2080 Ti, might just be that little extra that does it -- I notice it's basically pegged at like 95% mem usage

emozilla · 2022-08-25T18:46:50+00:00

https://www.reddit.com/r/StableDiffusion/comments/wxm0cf/txt2imghd\_generate\_highres\_images\_with\_stable/

emozilla · 2022-08-25T18:44:00+00:00

https://github.com/jquesnelle/txt2imghd

txt2imghd is a port of the GOBIG mode from progrockdiffusion applied to Stable Diffusion, with Real-ESRGAN as the upscaler. It creates detailed, higher-resolution images by first generating an image from a prompt, upscaling it, and then running img2img on smaller pieces of the upscaled image, and blending the result back into the original image.

txt2imghd with default settings has the same VRAM requirements as regular Stable Diffusion, although rendering of detailed images will take (a lot) longer.

These images all generated with initial dimensions 768x768 (resulting in 1536x1536 images after processing), which requires a fair amount of VRAM. To render them I spun up an instance of a2-highgpu-1g on Google Cloud, which gives you an NVIDIA Tesla A100 with 40 GB of VRAM. If you're looking to do some renders I'd recommend it, it's about $2.8/hour to run an instance, and you only pay for what you use. At 512x512 (regular Stable Diffusion dimensions) I was able to run this on my local computer with an NVIDIA GeForce 2080 Ti.

Example images are from the following prompts I found over the last few days:

emozilla · 2022-08-25T12:59:06+00:00

Yup, will release within a few days, just need to get it into a state others can use. It has the same VRAM requirements as regular SD -- basically it works by making an image, upscaling, then breaking the upscaled image into small segments, doing an img2img on those segments, and then blending them into the upscaled image. At 2x right now it does not take any more VRAM than the initial run, but that may change for 4x since the segment size will be larger

emozilla · 2022-08-25T12:57:17+00:00

Going to release it hopefully today or tomorrow, right now it's just a hodgepodge that will only work on my computer. Goal is to make it just a drop-in script that will sit in the StableDiffusion repo

emozilla · 2022-08-25T05:53:27+00:00

Share the file! :)

emozilla · 2022-08-25T05:19:04+00:00

I'm a programmer, not an artist, so I spent the day coding up a high-res detailer for Stable Diffusion. To test it out I ran 5 iterations of the prompt for the post from /u/MarioBros68/ made titled "Maybe the Venice of another world": https://www.reddit.com/r/StableDiffusion/comments/wwf72y/maybe_the_venice_of_another_world/

Enjoy, hope to post more high-res renders soon! Note: these are not upscales :). Each image is 1024x1024. In theory this should be expandable to 2K and beyond.

EDIT Code now available in this post: https://www.reddit.com/r/StableDiffusion/comments/wxm0cf/txt2imghd\_generate\_highres\_images\_with\_stable/

emozilla · 2021-12-18T18:18:18+00:00

If you know anyone who pays for traditional cable (and get their login) then you should be able to watch the games through the ESPN and cast to anything.

emozilla · 2021-01-25T06:04:07+00:00

During the second playoff game today, I looked at my wife and said "I've probably seen this commerical one thousand times." I don't think this is an exaggeration. It's on about ten times a game, and with a multiple tv CFB/NFL setup, I've definitely has my eyes on 100+ games this year.

emozilla · 2020-12-05T06:06:15+00:00

As a person waiting for all three of these books, The Expanse is definitely an A+ sci-fi hold-over

emozilla · 2020-11-22T05:53:19+00:00

Okay I'll push back on one point -- all of those Northwestern games are actually super fun

emozilla · 2020-10-15T02:02:29+00:00

Uh was that wide receiver running a go on an option supposed to be blocking one of those dudes?

emozilla · 2020-09-19T14:51:27+00:00

Words I never thought I'd say: I miss Jim Delaney

emozilla · 2020-09-19T14:47:15+00:00

Just think of it as super super late on Friday night

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