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Cycle-diffusion Alternatives
Similar projects and alternatives to cycle-diffusion
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Anti-DreamBooth
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
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stable-dreambooth
Discontinued Dreambooth implementation based on Stable Diffusion with minimal code.
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RelayDiffusion
The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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EGSDE
Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)
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auto_cycleDiffusion
port https://github.com/ChenWu98/cycle-diffusion to run on https://github.com/AUTOMATIC1111/stable-diffusion-webui
cycle-diffusion reviews and mentions
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[D] CycleGAN Diffusion equivalent
CycleDiffusion
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[R] Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance + Diffusers and Gradio Demo
github: https://github.com/chenwu98/cycle-diffusion
- Artists say AI image generators are copying their style to make thousands of new images — and it's completely out of their control
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How long until language model prompting?
Oh... Right after I wrote that reply, I found this. https://github.com/ChenWu98/cycle-diffusion Probably even closer to what you wanted. :)
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Google has opensourced Prompt-to-Prompt
CycleDiffusion which apparently somehow infers the random seed for any arbitrary image
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CycleDiffusion: Text-to-Image Diffusion Models Are Image-to-Image Editors via Inferring "Random Seed"
can't say I've seen a project with 468 dependencies before
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Stats
ChenWu98/cycle-diffusion is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of cycle-diffusion is Python.
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