What about some stories of shoots, hehe?
My first girl from i cosplayed this year is
I cosplayed her because in our textual ask, where you take a role of a character and answer the questions, was a "?" like do a cosplay of your character

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漢字1文字(3トークン)にしたら再現率上がった気がする。もしかしてtextual inversionみたいに学習させるトークン数多くした方が覚えさせる情報量多くなるのか?気のせいか?平仮名/カタカナ/漢字フルネームで試してみる価値アリか。

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I love Textual inversion in combination with 2 🙃. Negative embeddings have become my main focus when designing my text prompts. These images were created by combining Magic Facelift and bad_prompt, among others (Links in the comment).

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gm
今日も寧々丸教の皆様に良いことがありますように。

そろそろ力技で寧々丸ちゃんを出すでなしにdreamboothなりtextual inversionなりを使って単語を定義したいと思っている今日このごろ。




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Then I decided to input these images into textual inversion trainer and let it run.

The result was then used to generate new versions of my pieces based on the learned style

These were the results I was looking for...

👇Keep reading

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I hate that I overthink everything until I make myself sick with worry. My little clingy attention whore self cannot deal with textual etiquette lol

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"(token) as indiana jones, pixar (...)"

1) SD2.1-512 with Textual Embedding
2) SD2.1-768 - dreambooth (shivam)
3) SD1.5-512 - Dreambooth (joepenna)
4) SD2.1-512 Depth model

For each, best of 8

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Princess Connect! Re:Dive
This was pretty fun I think it could have worked better with contextualizing but given the limited time and the fact that it's gacha anime I'm surprised that the end result ended up being nice

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イラスト絵への努力とは別にoutpaintやinpaintといった応用的な使い方、画風を別に学習する方法(DreamBooth、Textual Inversionなど)、元絵をベースにimg2imgで仕上げていく方法などがどんどん実用レベルになっていく。このへんで利用ツールとしてはautomatic1111さんのwebuiが広まる。

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Textual inversion is memory-efficient and fast, but cannot reconstruct with high fidelity,
Dreambooth has high-fidelity, but heavy and overfits unless you have large set of prior preservation.
Can you take the best of both worlds, by Pivotal Tuning in low-rank space? Yes! [1/n]

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I’m Toppy Eton. l create intertextual 2D artworks - from the meme cinematic universe to the pixel plain. 🌷

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my current favorite genre of character is "goofball who is absolutely susceptible to depression later on in life due to how the world treats them and would be if not for contextual factors in the story yet the world treats them as if that's not the case"

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Would be cool if they revealed that Joo & Seiko were actually once peers. Joo just being more proficient at slowing down aging due to her affinity for it. 😅
Would be a fun way to recontextualise comments like 'No need to hide it' & 'I'm on your side'..
https://t.co/kE0UU4lSne

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Futuristic in Cyberpunk City the SD2.1+TEXTUAL INVERSION by inkpunk.... ...not stable yet...still tuning....

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Ya deberia estar acostumbrado, pero cada nuevo fragmento de SubaHibi recontextualiza mucho de lo que ya sabes de la tragedia, quedándome por delante ya unas cuantas respuestas por buscar y enfrentar las conclusiones.

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自前のhypernetworkとtextual inversion有りきのpromptなので、それらを抜くと同一Seedでこんな出力ですがそれでもよければDMします

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I'm recontextualizing Indian mythology by adding modern influences from all around the world!🕉️

Here's my grail, Chains of FATE where I took inspiration from an ancient 12th century statue

https://t.co/vUtoLxuA5s

Tagging

https://t.co/dwuugLuMbi

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Keith Silverstein voicing both Monster's Johan Liebert and Genshin Impact's Zhongli is contextually hilarious

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I was gonna wait until Friday, but I gotta do it now since Final projects are coming up...(-_-)

So here he is, the generous return of the new/revamped/redesigned/re-contextualized Nick Mallory!

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