# Third-Party Notices

This code includes adaptations of the following research implementations.
Their licenses and attribution requirements must be reviewed before assigning a
license to this repository.

## DiT

- Project: Scalable Diffusion Models with Transformers
- Source: https://github.com/facebookresearch/DiT
- Used concepts/code: timestep embedding, adaLN-Zero transformer blocks,
  initialization, and diffusion-model structure
- Copyright: Meta Platforms, Inc. and affiliates

## OpenAI diffusion implementations

- Projects: improved-diffusion, guided-diffusion, and GLIDE
- Sources:
  - https://github.com/openai/improved-diffusion
  - https://github.com/openai/guided-diffusion
  - https://github.com/openai/glide-text2im
- Used code: Gaussian diffusion schedules, training losses, timestep respacing,
  and DDIM sampling

## timm

- Project: PyTorch Image Models
- Source: https://github.com/huggingface/pytorch-image-models
- Used components: Transformer attention and MLP modules