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Testing new pix2pix-Turbo in real-time, very interesting GAN architecture that leverages SD-Turbo model. Here I'm using edge2image LoRA single-step inference 🤯
Testing new pix2pix-Turbo in real-time, very interesting GAN architecture that leverages SD-Turbo model. Here I'm using edge2image LoRA single-step inference 🤯
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It's very interesting how ControlNet Canny quality is comparable, but in a single step. Looking forward to when they release the code: 
It's very interesting how ControlNet Canny quality is comparable, but in a single step. Looking forward to when they release the code: 
link
https://github.com/GaParmar/img2img-turbo/issues/1
https://github.com/GaParmar/img2img-turbo/issues/1
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I've been keeping a list of fast diffusion model pipelines together with this real-time websocket app. Have a look if you want to test it locally, or check out the demo here on Spaces.
I've been keeping a list of fast diffusion model pipelines together with this real-time websocket app. Have a look if you want to test it locally, or check out the demo here on Spaces.
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resource
https://huggingface.co/spaces/radames/real-time-pix2pix-turbo
space
radames/real-time-pix2pix-turbo
https://huggingface.co/spaces/radames/real-time-pix2pix-turbo
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Github app:
Github app:
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https://github.com/radames/Real-Time-Latent-Consistency-Model/
https://github.com/radames/Real-Time-Latent-Consistency-Model/
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You can also check the authors img2img sketch model here
You can also check the authors img2img sketch model here
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https://huggingface.co/spaces/gparmar/img2img-turbo-sketch
space
gparmar/img2img-turbo-sketch
https://huggingface.co/spaces/gparmar/img2img-turbo-sketch
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Refs: 
Refs: 
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https://huggingface.co/papers/2403.12036
paper
2403.12036
https://huggingface.co/papers/2403.12036
One-Step Image Translation with Text-to-Image Models (2403.12036)
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cc 
cc 
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@gparmar
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@junyanz
junyanz
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Testing new pix2pix-Turbo in real-time, very interesting GAN architecture that leverages SD-Turbo model. Here I'm using edge2image LoRA single-step inference 🤯

It's very interesting how ControlNet Canny quality is comparable, but in a single step. Looking forward to when they release the code: https://github.com/GaParmar/img2img-turbo/issues/1

I've been keeping a list of fast diffusion model pipelines together with this real-time websocket app. Have a look if you want to test it locally, or check out the demo here on Spaces.

https://huggingface.co/spaces/radames/real-time-pix2pix-turbo

Github app:
https://github.com/radames/Real-Time-Latent-Consistency-Model/

You can also check the authors img2img sketch model here

https://huggingface.co/spaces/gparmar/img2img-turbo-sketch

Refs: 
https://huggingface.co/papers/2403.12036

cc @gparmar @junyanz 
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