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#sdxl — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #sdxl, aggregated by home.social.

  1. #Linux #Ubuntu #AMD #StableDiffusion #ComfyUI #SDXL #amdrocm
    今天在自己的AMD桌機Linux配置AMD ROCm,透過ComfyUI本機運行SDXL Turbo.
    3.5B參數模型能放進AMD Radeon RX 7600的8G VRAM,生圖很流暢,這系統配置下電腦32G RAM只佔用到9GB左右.

  2. La semana pasada, logré uno de las fantasías mal vista y a veces ilegales de los artistas, clásicos y de #IA...

    La autoinserción del mismo en sus obras

    Logré hacer un #LoRA para #SDXL en el que por fin podemos convivir mi pareja y yo

    Con todo lo que implica, y todas las posibilidades que abre

    Aún no es perfecto, estoy buscando el punto dulce para no sobrecocinarlo o dejar crudo el modelo

    #AI #GenAI

  3. La semana pasada, logré uno de las fantasías mal vista y a veces ilegales de los artistas, clásicos y de #IA...

    La autoinserción del mismo en sus obras

    Logré hacer un #LoRA para #SDXL en el que por fin podemos convivir mi pareja y yo

    Con todo lo que implica, y todas las posibilidades que abre

    Aún no es perfecto, estoy buscando el punto dulce para no sobrecocinarlo o dejar crudo el modelo

    #AI #GenAI

  4. Почему диффузия рисует швы на 40-мегапиксельных фото и как сделать тайлы с памятью

    У видео-моделей есть память между кадрами. У диффузионных фото-моделей - нет. Именно поэтому стандартный тайлинг профессиональных кадров на 40-150 мегапикселей всегда даёт лестницу швов на градиенте неба, плывущий цвет на коже и драматический перепад текстур на границах тайлов. Я двадцать лет работаю ретушёром и четвёртый год пытаюсь это починить, приспособить диффузионки к профессиональной съёмке. Все эти годы любой подход, что мой, что чужой, крутится вокруг одного: режем картинку на 100+ тайлов, обрабатываем каждый отдельно, склеиваем обратно. И каждый раз вылезает то же самое - тайлы не согласовываются между собой. В статье разбираю три идеи о том, как у фото-модели может появиться память между соседями. Восемь архитектурных классов памяти из видео-диффузии (BCLA из SANA-Video, FramePack, SVD reshape, AnimateDiff и другие): какие переносятся на тайлы, какие нет и почему.

    habr.com/ru/articles/1028252/

    #диффузионные_модели #тайлинг #ретушь #SANA #видеодиффузия #sdxl #flux

  5. solo, safe, 1girl, edelgard von hresvelg, fire emblem, bikini, , cafe, blurred background, masterpiece, high score, great score, absurdres | #AIart #aiイラスト #AI #SDXL

  6. solo, safe, 1girl, edelgard von hresvelg, fire emblem, bikini, , cafe, blurred background, masterpiece, high score, great score, absurdres | #AIart #aiイラスト #AI #SDXL

  7. solo, safe, 1girl, mona \(genshin impact\), genshin impact, sports bikini, seiza, simple background, masterpiece, high score, great score, absurdres | #AIart #aiイラスト #AI #SDXL

  8. solo, safe, 1girl, mona \(genshin impact\), genshin impact, sports bikini, seiza, simple background, masterpiece, high score, great score, absurdres | #AIart #aiイラスト #AI #SDXL

  9. solo, safe, 1girl, lucoa \(maidragon\), kobayashi-san chi no maidragon, large breasts, dragon horns, rain jacket, , beach, masterpiece, high score, great score, absurdres | #AIart #aiイラスト #AI #SDXL

  10. solo, safe, 1girl, lucoa \(maidragon\), kobayashi-san chi no maidragon, large breasts, dragon horns, rain jacket, , beach, masterpiece, high score, great score, absurdres | #AIart #aiイラスト #AI #SDXL

  11. Little update on my #neuralnetwork #experiment: Something happened. What happened is hard to say so far. The motionnet model was only trained on 3 videos for 2000 steps. One of the videos was a butterfly on a flower. (You can see it attached).

    So this is the first actual test I've run successfully on the full pipeline. The prompt: A butterfly on a flower.

    You can see the first frame (generated by #SDXL weights) and the generated #video.

  12. Been messing around with a little #prototype #neuralnetwork. It behaves similarly to a #video #codec. It uses a frozen set of weights from #StableDiffusionXL and uses its latent space to carry forward to a set of networks that behave like the B-frame motion vectors used by codecs like #MPEG. These are smaller networks, letting me train it on my regular old #GPU while relying on the work of the big boys for generating I-frames via #SDXL.

    At least that's the theory. Reality remains to be seen.

  13. Been messing around with a little #prototype #neuralnetwork. It behaves similarly to a #video #codec. It uses a frozen set of weights from #StableDiffusionXL and uses its latent space to carry forward to a set of networks that behave like the B-frame motion vectors used by codecs like #MPEG. These are smaller networks, letting me train it on my regular old #GPU while relying on the work of the big boys for generating I-frames via #SDXL.

    At least that's the theory. Reality remains to be seen.

  14. Been messing around with a little #prototype #neuralnetwork. It behaves similarly to a #video #codec. It uses a frozen set of weights from #StableDiffusionXL and uses its latent space to carry forward to a set of networks that behave like the B-frame motion vectors used by codecs like #MPEG. These are smaller networks, letting me train it on my regular old #GPU while relying on the work of the big boys for generating I-frames via #SDXL.

    At least that's the theory. Reality remains to be seen.

  15. Been messing around with a little #prototype #neuralnetwork. It behaves similarly to a #video #codec. It uses a frozen set of weights from #StableDiffusionXL and uses its latent space to carry forward to a set of networks that behave like the B-frame motion vectors used by codecs like #MPEG. These are smaller networks, letting me train it on my regular old #GPU while relying on the work of the big boys for generating I-frames via #SDXL.

    At least that's the theory. Reality remains to be seen.

  16. Been messing around with a little #prototype #neuralnetwork. It behaves similarly to a #video #codec. It uses a frozen set of weights from #StableDiffusionXL and uses its latent space to carry forward to a set of networks that behave like the B-frame motion vectors used by codecs like #MPEG. These are smaller networks, letting me train it on my regular old #GPU while relying on the work of the big boys for generating I-frames via #SDXL.

    At least that's the theory. Reality remains to be seen.

  17. 🇺🇸 🇺🇸 🇺🇸 🦅🦅🦅 :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: 🦅🦅🦅🇺🇸 🇺🇸 🇺🇸

    #ai #pepe #pepethefrog #stablediffusion #sdxl #bot

  18. 🇺🇸 🇺🇸 🇺🇸 🦅🦅🦅 :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: :hoggers: 🦅🦅🦅🇺🇸 🇺🇸 🇺🇸

    #ai #pepe #pepethefrog #stablediffusion #sdxl #bot

  19. 🙌 Just completed: our Invoke.AI video tutorial series by Robert Kremer of the AI + D Lab at HfG Schwäbisch Gmünd! Learn how to use Invoke AI + Stable Diffusion XL – from installation to inpainting, depth maps, regional guidance and more. 🎨🔥 aid-lab.hfg-gmuend.de/articles
    #InvokeAI #SDXL #Tutorial #genAI #KITeGG

  20. masterpiece, high score, great score, absurdres, safe, 1girl, hestia \(danmachi\), dungeon ni deai wo motomeru no wa machigatteiru darou ka, maid headdress, black dress, apron, black shoes, standing, simple background, monochrome | #AIart #aiイラスト #AI #SDXL