StyleCLIPDraw
blended-latent-diffusion
StyleCLIPDraw | blended-latent-diffusion | |
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4 | 1 | |
274 | 514 | |
- | - | |
0.0 | 4.5 | |
over 1 year ago | 5 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | MIT License |
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StyleCLIPDraw
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2 CLIP-guided systems that are similar to CLIPDraw: StyleCLIPDraw from pschaldenbrand, and DIFFVG_Play from johnowhitaker
StyleCLIPDraw.
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[R] StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis
Code for https://arxiv.org/abs/2111.03133 found: https://github.com/pschaldenbrand/StyleCLIPDraw
blended-latent-diffusion
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Blended Latent Diffusion's code has been released.
The research paper https://arxiv.org/abs/2206.02779 has finally released their code https://github.com/omriav/blended-latent-diffusion after I asked about it 2 days ago in an issue.
What are some alternatives?
animegan2-pytorch - PyTorch implementation of AnimeGANv2
Kandinsky-2 - Kandinsky 2 — multilingual text2image latent diffusion model
DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
Diffusion-Models-Papers-Survey-Taxonomy - Diffusion model papers, survey, and taxonomy
Rerender_A_Video - [SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
glami-1m - The largest multilingual image-text classification dataset. It contains fashion products.
DiffusionFastForward - DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
MultiDiffusion - Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
paper-implementations - Attempts to implement various deep learning, computer vision papers.
daam - Diffusion attentive attribution maps for interpreting Stable Diffusion.
min-3-flow - A multistage text to image framework. Built from a inference-reduced set of min-dalle, glid-3-xl, and SwinIR.
WhereIsAI - AI company, product, and tool collection.