minimal-text-diffusion
DDPM_inversion
| minimal-text-diffusion | DDPM_inversion | |
|---|---|---|
| 2 | 1 | |
| 261 | 185 | |
| - | - | |
| 4.9 | 5.6 | |
| 12 months ago | 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
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minimal-text-diffusion
- Is there any nano-gpt/pico-gpt like implementation available for stable-diffusion models?
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[D] would diffusion language models make sense?
In case you’re interested, I have a minimal implementation here: https://github.com/madaan/minimal-text-diffusion
DDPM_inversion
What are some alternatives?
DiffSBDD - A Euclidean diffusion model for structure-based drug design.
DenoisingDiffusionProbabilityModel-ddpm- - This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
modular-diffusion - Python library for designing and training your own Diffusion Models with PyTorch.
ImageReward - [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
basaran - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
video-diffusion-pytorch - Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
const_layout - Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)