cycle-diffusion
stable-dreambooth
cycle-diffusion | stable-dreambooth | |
---|---|---|
8 | 1 | |
521 | 141 | |
- | - | |
6.1 | 10.0 | |
4 months ago | over 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cycle-diffusion
-
[D] CycleGAN Diffusion equivalent
CycleDiffusion
-
[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
-
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. :)
-
Google has opensourced Prompt-to-Prompt
CycleDiffusion which apparently somehow infers the random seed for any arbitrary image
-
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
stable-dreambooth
-
The VFX guys at Corridor Crew freak out over Stable Diffusion
also https://github.com/Victarry/stable-dreambooth, it is easier to use with Hugging Face diffusers
What are some alternatives?
Anti-DreamBooth - Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
Dreambooth-SD-optimized - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
prompt-to-prompt
stable-diffusion-videos - Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
PITI - PITI: Pretraining is All You Need for Image-to-Image Translation
diffusers-ocaml - Diffusers API in OCaml
RelayDiffusion - The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]
concept-ablation - Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
stable-diffusion-webui - Stable Diffusion web UI
EGSDE - Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)