cycle-diffusion
concept-ablation
| cycle-diffusion | concept-ablation | |
|---|---|---|
| 8 | 1 | |
| 521 | 137 | |
| - | - | |
| 6.1 | 6.7 | |
| 4 months ago | 4 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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cycle-diffusion
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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
concept-ablation
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Opt-Me-Out From Diffusion: This AI Model Can Remove Copyrighted Concepts from Text-to-Image Diffusion Models
Github: https://github.com/nupurkmr9/concept-ablation
What are some alternatives?
Anti-DreamBooth - Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
RelayDiffusion - The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
MobileStyleGAN.pytorch - An official implementation of MobileStyleGAN in PyTorch
prompt-to-prompt
BMSG-GAN - [MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
PITI - PITI: Pretraining is All You Need for Image-to-Image Translation
APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
stable-dreambooth - Dreambooth implementation based on Stable Diffusion with minimal code.
HR-VITON - Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).