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Quick test with SDXL Turbo, another amazing, super-fast diffusion model. It works right out of the box with diffusers unofficial demo txt2img and img2img:

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Radamés Ajna

6,809 subscribers

219,854 просмотров • 2 лет назад •via X (Twitter)

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Комментарии: 10

Фото профиля SkalskiP
SkalskiP2 лет назад

@diffuserslib This is insane…

Фото профиля 1LittleCoder💻
1LittleCoder💻2 лет назад

@diffuserslib Your demos are addicitive and inspiring!

Фото профиля Ankush Singal
Ankush Singal2 лет назад

@diffuserslib Is it faster compared to using with LCM ? Cheaper?

Фото профиля blender_ovo
blender_ovo2 лет назад

@diffuserslib super lcm！

Фото профиля 🟢 ٴ` b0gie.eth🟣
🟢 ٴ` b0gie.eth🟣2 лет назад

@diffuserslib @Crypto_koH

Фото профиля かつお節
かつお節2 лет назад

@osanseviero @diffuserslib cat power

Фото профиля JunMa
JunMa2 лет назад

@diffuserslib Thanks for sharing. This is super cool. Is there any way to fine-tune the model for img2img task?

Фото профиля bondarchukb
bondarchukb2 лет назад

@diffuserslib hmm, idk why but its working quite slow on my side, maybe because a lot of users are testing it?

Фото профиля Sylwester Mielniczuk 🔮💎
Sylwester Mielniczuk 🔮💎2 лет назад

@diffuserslib Trying to get the models, it's over 30G....

Фото профиля starwave
starwave2 лет назад

@diffuserslib It continues to blow my mind how things got so fast that you can just prompt and then surf through seeds and steps now at lightning speed to help find the image you're looking for rather than having to modify the prompt all the time, whole new way to explore!

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Thanks to the Latent Consistency Model (LCM), we're nearing real-time image diffusion. I've made a simple MJPEG server for generation stream using diffusers img2img pipeline. It's really fun to play with it. Can't wait for the ControlNet version. try it:
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Thanks to the Latent Consistency Model (LCM), we're nearing real-time image diffusion. I've made a simple MJPEG server for generation stream using diffusers img2img pipeline. It's really fun to play with it. Can't wait for the ControlNet version. try it:

Radamés Ajna

231,859 просмотров • 2 лет назад

Introducing SDXL Turbo: A real-time text-to-image generation model. SDXL Turbo achieves state-of-the-art performance with a new distillation technology, enabling single-step image generation with unprecedented quality, reducing the required step count from 50 to just one. The code, research paper, and weights for non-commercial use are now available on our website. You can test SDXL Turbo on Stability AI’s image editing platform Clipdrop, with a beta demonstration of the real-time text-to-image generation capabilities. Learn more:
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Introducing SDXL Turbo: A real-time text-to-image generation model. SDXL Turbo achieves state-of-the-art performance with a new distillation technology, enabling single-step image generation with unprecedented quality, reducing the required step count from 50 to just one. The code, research paper, and weights for non-commercial use are now available on our website. You can test SDXL Turbo on Stability AI’s image editing platform Clipdrop, with a beta demonstration of the real-time text-to-image generation capabilities. Learn more:

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Inpainting with Qwen Edit is like working with a magic brush amazing how well it works out of the box
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Linoy Tsaban

14,561 просмотров • 11 месяцев назад

Do diffusion models want Perlin-like noise? SDXL-turbo spends the first blocks simply creating Perlin-like noise of different frequencies, amplitudes and orientations. The model ignores the prompt conditioning during these layers.
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Do diffusion models want Perlin-like noise? SDXL-turbo spends the first blocks simply creating Perlin-like noise of different frequencies, amplitudes and orientations. The model ignores the prompt conditioning during these layers.

Rudy Gilman

59,764 просмотров • 1 год назад

This is getting interesting. In this iteration, the magnifying glass is tracked in real-time, feeding only what is seen through it to the diffusion process, revealing the invisible within a piece of clay. Real-time diffusion with Stream Diffusion + SDXL Turbo. #StableDiffusion #SDXLTurbo #StreamDiffusion #StabilityAI #Realtime
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This is getting interesting. In this iteration, the magnifying glass is tracked in real-time, feeding only what is seen through it to the diffusion process, revealing the invisible within a piece of clay. Real-time diffusion with Stream Diffusion + SDXL Turbo. #StableDiffusion #SDXLTurbo #StreamDiffusion #StabilityAI #Realtime

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🚀Meet Gemini Diffusion, our first diffusion-based and super fast language model, just announced at Google I/O!🚀 Very excited to be able to share what I've been working on for the past little while with our amazing small team Google DeepMind.
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🔥 Diffusers fast Inpaint by Alvaro Somoza Draw the mask over the subject you want to erase or change and write what you want to Inpaint it with. Create interesting art pieces with Diffusers and Gradio 😎
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🔥 Diffusers fast Inpaint by Alvaro Somoza Draw the mask over the subject you want to erase or change and write what you want to Inpaint it with. Create interesting art pieces with Diffusers and Gradio 😎

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32,209 просмотров • 2 месяцев назад

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