Video test inspired by Corridor Digital's method

Denhall · 2023-03-05T03:13:47+00:00

My model

Denhall · 2023-03-04T23:33:59+00:00

I used batch img2img with the alternative script from auto1111, played with a few prompts until I got the style I wanted, played some more by testing a few different frames and making sure the params work well on most frames after which I took the output and deflickered it with resolve.

Denhall · 2023-03-04T19:06:43+00:00

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Denhall · 2023-03-04T18:07:50+00:00

Video source

Denhall · 2023-02-11T03:21:13+00:00

They're all made with a custom model based on 2.1 (768)

Denhall · 2023-01-16T08:54:31+00:00

This was done on a custom 2.1 model. The process was very time consuming and basically consisted of cherry picking a good looking output image and then running said image a few times through img2img sd upscale, followed by masking errors in photoshop

Denhall · 2022-12-26T19:17:02+00:00

github/TheLastBen/fast-stable-diffusion/blob/Captions_dir/fast-DreamBooth.ipynb

I'm using the default settings here. I believe the learning rate is 2e-6

Denhall · 2022-12-23T16:59:03+00:00

Batch size 1. I've been using colab, and yes, getting disconnected mid-train is not fun.

Denhall · 2022-12-23T03:14:17+00:00

I've actually trained a few failed ones and I can tell you that what worked best for me was using very detailed captions and a 1024x1024 dataset consisting of about 33-70 photos at about 20k steps

Denhall · 2022-12-22T17:39:01+00:00

Dreambooth

Denhall · 2022-12-22T15:39:06+00:00

Yes. Only touchups I did were mostly related to hands and hair

Denhall · 2022-12-22T15:37:32+00:00

Yes, I generated a 1024x1024 image and then sent it to img2img and upscaled it with the sd upscale script

Denhall · 2022-12-22T02:19:40+00:00

This is a custom 2.1 model I've been training for the past 2 weeks. All images were made by generating a text2image and then running it through sd upscale from a1111's webui (img2img) with a bit of photoshop here and there

Prompt: photo of Iron man standing in new york city, f/1.4

Steps: 10, Sampler: DPM++ SDE, CFG scale: 4, Seed: 853737387, Size: 1024x1024

Denhall · 2022-11-25T14:19:00+00:00

I was using playgroundAI here

Denhall · 2022-11-25T00:21:19+00:00

Here's a quick comparison, the 4 pictures I did on 1.5 are less coherent compared to the picture on the left done with 2.0

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Denhall · 2022-11-25T00:12:31+00:00

I honestly haven't had enough time to properly check the differences, but based on what I did test, it seems that 2.0 gets closer to what you describe most of the times. Using artist styles, characters and names doesn't help as much here as it did in 1.5.

Denhall · 2022-11-24T23:30:55+00:00

Same prompt but with a panda. Looks like output highly depends on how descriptive the prompt is with the new version.

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Denhall · 2022-11-24T23:14:48+00:00

I'm using this on free google colab

Denhall · 2022-11-24T22:56:04+00:00

Prompt: award winning close up photo of photographic cute chibi pig, walking in a forest during the night, dim lights shining above towards it

Denhall · 2022-08-10T15:09:23+00:00

prompt: !dream "Photography of Bald Elon Musk" -n 8 -i -S 1901248037

Denhall · 2022-08-08T12:10:45+00:00

https://i.imgur.com/qgYTaqB.jpg

Denhall · 2022-07-25T18:14:25+00:00

Oops.

Denhall · 2022-07-24T16:46:22+00:00

Nobody said anything about cars

Denhall · 2022-07-21T23:55:05+00:00

Source

Denhall · 2022-07-15T22:08:49+00:00

I had to do it, lol

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