ControlNet Archives - 叩頂窩客

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Deep Learning•Stable Diffusion

如何讓 Stable Diffusion 算圖更真實？ | ControlNet Tile Resample | Detail Tweaker LoRA

<img width="1160" height="770" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%201160%20770'%3E%3C/svg%3E" data-src="https://i0.wp.com/koding.work/wp-content/uploads/2023/08/refining-stable-diffusion-for-vivid-images-cover-2.webp?resize=1160%2C770&ssl=1" class="attachment-lavander-postBlock size-lavander-postBlock wp-post-image lazy" alt="" decoding="async" data-srcset="https://i0.wp.com/koding.work/wp-content/uploads/2023/08/refining-stable-diffusion-for-vivid-images-cover-2.webp?resize=120%2C80&ssl=1 120w, https://i0.wp.com/koding.work/wp-content/uploads/2023/08/refining-stable-diffusion-for-vivid-images-cover-2.webp?resize=255%2C170&ssl=1 255w, https://i0.wp.com/koding.work/wp-content/uploads/2023/08/refining-stable-diffusion-for-vivid-images-cover-2.webp?resize=1160%2C770&ssl=1 1160w, https://i0.wp.com/koding.work/wp-content/uploads/2023/08/refining-stable-diffusion-for-vivid-images-cover-2.webp?resize=345%2C230&ssl=1 345w" data-sizes="(max-width: 1160px) 100vw, 1160px" />

2023-08-04 by J No Comments

想讓 Stable Diffusion 算圖更細膩精緻？本文分享兩個實用技巧，輕鬆實現細節控制，讓你的圖片從粗糙到精緻，質感大升級！

本文將介紹這兩種方法的原理與步驟，只要掌握他們，就可以隨意輕鬆調整細節，讓我們立刻開始吧！

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Deep Learning•Stable Diffusion

如何用 Stable Diffusion + ControlNet 向外擴展圖片？| Outpainting

<img width="1160" height="770" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%201160%20770'%3E%3C/svg%3E" data-src="https://i0.wp.com/koding.work/wp-content/uploads/2023/07/expanding-images-with-stable-diffusion-controlnet-inpaint-cover.webp?resize=1160%2C770&ssl=1" class="attachment-lavander-postBlock size-lavander-postBlock wp-post-image lazy" alt="" decoding="async" data-srcset="https://i0.wp.com/koding.work/wp-content/uploads/2023/07/expanding-images-with-stable-diffusion-controlnet-inpaint-cover.webp?resize=120%2C80&ssl=1 120w, https://i0.wp.com/koding.work/wp-content/uploads/2023/07/expanding-images-with-stable-diffusion-controlnet-inpaint-cover.webp?resize=255%2C170&ssl=1 255w, https://i0.wp.com/koding.work/wp-content/uploads/2023/07/expanding-images-with-stable-diffusion-controlnet-inpaint-cover.webp?resize=1160%2C770&ssl=1 1160w, https://i0.wp.com/koding.work/wp-content/uploads/2023/07/expanding-images-with-stable-diffusion-controlnet-inpaint-cover.webp?resize=345%2C230&ssl=1 345w" data-sizes="(max-width: 1160px) 100vw, 1160px" />

2023-07-05 by J No Comments

修圖的時候，有沒有遇過「如果當初再左邊一點就好了！」「如果當初廣角一點就好了！」以前只能想辦法手工 P 出來，但靠 Stable Diffusion + ControlNet 新推出的 Inpaint 模型，除了可以做圖片內修補外，也能往外擴展補完圖片 (outpaintng)！實在太強了！趕快來看看怎麼作吧！

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Deep Learning•Stable Diffusion

如何用 Stable Diffusion 產生高解析度的圖？

<img width="1160" height="770" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%201160%20770'%3E%3C/svg%3E" data-src="https://i0.wp.com/koding.work/wp-content/uploads/2023/05/generate-high-resolution-images-with-stable-diffusion-cover.webp?resize=1160%2C770&ssl=1" class="attachment-lavander-postBlock size-lavander-postBlock wp-post-image lazy" alt="" decoding="async" data-srcset="https://i0.wp.com/koding.work/wp-content/uploads/2023/05/generate-high-resolution-images-with-stable-diffusion-cover.webp?resize=120%2C80&ssl=1 120w, https://i0.wp.com/koding.work/wp-content/uploads/2023/05/generate-high-resolution-images-with-stable-diffusion-cover.webp?resize=255%2C170&ssl=1 255w, https://i0.wp.com/koding.work/wp-content/uploads/2023/05/generate-high-resolution-images-with-stable-diffusion-cover.webp?resize=1160%2C770&ssl=1 1160w, https://i0.wp.com/koding.work/wp-content/uploads/2023/05/generate-high-resolution-images-with-stable-diffusion-cover.webp?resize=345%2C230&ssl=1 345w" data-sizes="(max-width: 1160px) 100vw, 1160px" />

2023-05-18 by J No Comments

txt2img 時，會用 512、768 等等大小來測試算圖，反覆迭代找到一個適合的 prompt 和參數組合。如果想要以此組合算出高解析度的圖片，直接調整長寬會遇到畫面跑掉的問題。該如何在固定構圖的情況下增加圖片的解析度呢？本文提供三個方法讓大家嘗試看看！

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About me

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J

雖然大學唸的是生物，但持著興趣與熱情自學，畢業後轉戰硬體工程師，與宅宅工程師們一起過著沒日沒夜的生活。之後憑著一股傻勁與朋友創業，再度轉戰軟體工程師，一手扛起前後端、雙平台 app 開發，過程中雖跌跌撞撞，卻也累計不少經驗。

可惜不是那 1% 的成功人士，於是加入其他成功人士的新創公司，專職開發後端。沒想到卻在採前人坑的過程中，拓寬了眼界，得到了深層的領悟。...more