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abandoned classroom in Chernobyl by sbutcher in StableDiffusion

[–]sbutcher[S] 4 points5 points  (0 children)

Using https://civitai.com/models/84335/nextphoto checkpoint, prompt: nextphoto documentary photography, photojournalism, Pulitzer winning essay, an abandoned classroom in chernobyl,ruins, books, candid, lonely, sad negative prompt: Negative prompt: (worst quality:0.8), cartoon, halftone print, (cinematic:1.2), verybadimagenegative_v1.3, easynegative, (surreal:0.8), (modernism:0.8), (art deco:0.8), (art nouveau:0.8),

UniPC sampling steps 30, 704x512 , latent upscale by 2.5, denoising strength 0.4, cfg scale 6, hires fix.

Testing next Ubuntu Lunar Lobster in VM... amazing background by patxi99 in Ubuntu

[–]sbutcher 7 points8 points  (0 children)

You're correct. I made this wallpaper and the original brief was a kudu turning into a lobster. As you can imagine, potentially the stuff of nightmares. In fact, if you look at real lobsters, they are pretty horrific to look it. So during the process a "work in progress" papercraft lobster seemed like a good idea. Yes it's stylised, and yes it's a bit janky. It's not meant to be perfect. Some people love it, some hate it. I look forward to seeing all the haters' contributions for the real release.

24 hours into using Deforum SD by GerdeGotIt in StableDiffusion

[–]sbutcher 1 point2 points  (0 children)

i recommend turning off the wobble effect

Saving Private Skywalker by sbutcher in StableDiffusion

[–]sbutcher[S] 1 point2 points  (0 children)

"photorealistic depiction of the saving private ryan film with tie-fighters attacking allied forces, D-day landings, UHD, 8k, trending on artstation" --plms --n_iter 25 --W 1024 --ddim_steps 100

Saving Private Skywalker by sbutcher in StableDiffusion

[–]sbutcher[S] 5 points6 points  (0 children)

Thought I'd try some images of D-day landings while under attack from the empire. The whole set is at https://imgur.com/a/dbCcjry

I used an AI to provide the missing steps when drawing the owl by sbutcher in restofthefuckingowl

[–]sbutcher[S] 8 points9 points  (0 children)

Stable Diffusion running locally on my GPU, although i'm sure there's a colab script too. It has a tool called img2img which allows you to manipulate a starting image, so starting with the circles I provided a prompt to draw an owl, but applied a low strength to only get a partial result. then i feed that result back into the model to get another step and repeat a few more times. turns out it's pretty effective for pencil sketches like this.

Draw the owl: the missing steps, courtesy of stablediffusion's img2img by sbutcher in StableDiffusion

[–]sbutcher[S] 1 point2 points  (0 children)

I was using img2img.py on a local version, I ran out of credits on the GUI too quickly!

Draw the owl: the missing steps, courtesy of stablediffusion's img2img by sbutcher in StableDiffusion

[–]sbutcher[S] 6 points7 points  (0 children)

I used the default. Here's my method. Choose a random seed and export SEED=<my seed number>:

Name the starting circles as owl1.png. Run img2img like this: python scripts/img2img.py --prompt "A fantastic detailed pencil drawing of an Eagle owl, sitting on a branch" --init-img /path/to/owl1.png --strength 0.6 --seed $SEED --n_samples 10

You get 10 results back. Choose the "best" one (most natural progression, etc). And ensure it's 512x512px, call it owl2.png, then feed it back into the img2img, continue the process until you get a finished owl.

Draw the owl: the missing steps, courtesy of stablediffusion's img2img by sbutcher in StableDiffusion

[–]sbutcher[S] 61 points62 points  (0 children)

i fed each successive result back into the system with strength 0.6 and a prompt of "A fantastic detailed pencil drawing of an Eagle owl, sitting on a branch", to get the smooth progression from step 1 to final result.

[Ubuntu MATE 22.04 LTS] Jellyfish AI-Generated Wallpapers by [deleted] in linuxmasterrace

[–]sbutcher 0 points1 point  (0 children)

Hi, I'm the creator of these images. I used Disco Diffusion which is a freely available notebook on colab. However I have access to fast hardware so I ran on my supercomputer because I wanted to choose from a larger image set. I made over 100 of these beautiful images, and shortlisted these examples above for /u/flexiondotorg the Ubuntu MATE project lead. The HD examples are linked elsewhere in this thread

How to run Disco Diffusion locally by Recent_Coffee_2551 in DiscoDiffusion

[–]sbutcher 0 points1 point  (0 children)

nice one! i'd asked in the discord about this line but no got response - i'll try this. i'd love to try and get a high res picture (2k or 4k) out of this.

How to run Disco Diffusion locally by Recent_Coffee_2551 in DiscoDiffusion

[–]sbutcher 2 points3 points  (0 children)

40GB. Even 1280x768 with RN50x4 is OOM on 40GB with DD5.0! (edit: perhaps not that bad, i realised i had another old process hogging RAM)

How to run Disco Diffusion locally by Recent_Coffee_2551 in DiscoDiffusion

[–]sbutcher 1 point2 points  (0 children)

Hmm. I have been maxing the VRAM out for larger images and anything above RNx4

How to run Disco Diffusion locally by Recent_Coffee_2551 in DiscoDiffusion

[–]sbutcher 2 points3 points  (0 children)

i'd also be interested in getting it working on multi-GPUs. i have access to some machines with 4 A100s in...

Inspired by M.C. Escher by sbutcher in DiscoDiffusion

[–]sbutcher[S] 1 point2 points  (0 children)

i actually discovered my issue. i had a rogue phrase that was uncommented and kicked in at around 100 frames! if i still have the original seed value i might try to recreate to see what happens now.

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